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School Survey on Crime and Safety (SSOCS), 2004

ICPSR 25681

United States Department of Education. Institute of Education Sciences. National Center for Education Statistics

Codebook

Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106 www.icpsr.umich.edu

http://www.icpsr.umich.edu/cocoon/ICPSR/TERMS/25681.xml

Information about Copyrighted Content Some instruments administered as part of this study may contain in whole or substantially in part contents from copyrighted instruments. Reproductions of the instruments are provided as documentation for the analysis of the data associated with this collection. Restrictions on "fair use" apply to all copyrighted content. More information about the reproduction of copyrighted works by educators and librarians is available from the United States Copyright Office.

NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS

The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or reproduction is not to be "used for any purpose other than private study, scholarship, or research." If a user makes a request for, or later uses, a photocopy or reproduction for purposes in excess of "fair use," that user may be liable for copyright infringement.

http://www.icpsr.umich.edu/cocoon/ICPSR/TERMS/25681.xml

TABLE OF CONTENTS

Study Description… ………………………………………………………………....... 4 Citation.……………………………………………………………………………… 4 Title Statement………………………………………………………………....... 4 Responsibility Statement……………………………………………………….. 4 Production Statement………………………………………………………....... 4 Distribution Statement……………………………………………………………. 4 Study Scope…………………………………………………………………………. 4 Subject Information…………………………………………………………….... 4 Abstract……………………………………………………………………………. 4 Summary Data Description……………………………………………………… 4 Methodology and Processing…………………………………………………… 5 Data Collection Methodology…………………………………………………… 5 Data Access…………………………………………………………………………. 5 Dataset Availability.……………………………………………………………… 5 Dataset Use Statement…………………………………………………………… 5 Other Study Description Materials………………………………………………… 5 Related Publications…………………………………………………………… 5 Data Files Description…………………………………………………………………. 7 Variable Description……………………………………………………………………. 8 Codebook.……………………………………………………………………………… 24 PI Supplied Documentation…………………………………………………………… 281 Public Use Data File Codebook ………………………………………………… 281

Study Description Citation

Title Statement

The School Survey on Crime and Safety (SSOCS), 2004Title:

25681Identification No.:

Responsibility Statement

National Center for Education Statistics (NCES), U.S. Department of EducationAuthoring Entity:

Production Statement

Inter-university Consortium for Political and Social ResearchProducer:

Ann Arbor, MI: Inter-university Consortium for Political and Social ResearchPlace of Production:

National Center for Education Statistics (NCES), U.S. Department of EducationFunding Agency:

Distribution Statement

Inter-university Consortium for Political and Social ResearchDistributor:

Study Scope

Subject Information

crime, crime reporting, crime statistics, educational environment, juvenile crime, offenses, school security, school violence, student behavior

Keyword(s):

Social Institutions and Behavior, Crime and the Criminal Justice System, Education, United States, Crime and Delinquency

Topic Classification(s):

Abstract

The School Survey on Crime and Safety (SSOCS) is managed by the National Center for Education Statistics (NCES) on behalf of the United States Department of Education (ED). SSOCS collects extensive crime and safety data from principals and school administrators of public schools in America. Data from this collection can be used to correlate school characteristics with violent and serious violent crimes in American schools. Furthermore, data from SSOCS can be used to assess what school programs, practices, and policies are used by schools in their efforts to prevent crime. SSOCS has been conducted three times, in school years 1999-2000, 2003-04, and 2005-06. The 2003-04 School Survey on Crime and Safety (SSOCS:2004) was developed by the National Center for Education Statistics (NCES) and conducted by Abt Associates Inc. Funding for the survey was provided by the Office of Safe and Drug Free Schools. Questionnaire packets were mailed to 3,743 public primary, middle, high, and combined schools. A total of 2,772 public schools submitted usable questionnaires for a weighted response rate of 77.2 percent. Data were collected from March 1, 2004 to June 4, 2004.

Summary Data Description

2003 - 2004Time Period:

March 6, 2004 - June 4, 2004Date(s) of Collection:

United StatesCountry:

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United StatesGeographic Coverage:

US public school districtsGeographic Unit:

SchoolsUnit of Analysis:

Public elementary and secondary schools in the United States.Universe:

Survey dataKind of Data:

Methodology and Processing

Data Collection Methodology

Cross-sectionTime Method:

U.S. Census BureauData Collector:

Mail questionnaireMode of Data Collection:

Notes

For further details on the methodology, please consult the PI supplied documentation in the user guide.

Data Access

Dataset Availability

Inter-university Consortium for Political and Social ResearchLocation:

1 data file + machine-readable documentation (PDF) + SAS setup file + SPSS setup file + STATA setup file

Extent of Collection:

Data Use Statement:

Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications.

Citation Requirement:

To provide funding agencies with essential information about use of archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are

Deposit Requirement:

requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Visit the ICPSR Web site for more information on submitting citations.

ICPSR data may not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of ICPSR.

Conditions:

The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses.

Disclaimer:

Other Study Description Materials

Related Publication(s)

Neiman, S., and DeVoe, J.F. (2009). Crime, Violence, Discipline, and Safety in U.S. Public Schools: Findings From the School Survey on Crime and Safety: 2007-08 (NCES 2009-326). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

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Dinkes, R., Kemp, J., and Baum, K. (2009). Indicators of School Crime and Safety: 2008 (NCES 2009-022/ NCJ 226343). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice. Washington, DC

Chen, G. (2008). Communities, students, schools, and school crime: A confirmatory study of crime in U.S. high schools. Urban Education, 43(3): 301-318.

Dinkes, R., Cataldi, E.F., and Lin-Kelly, W. (2007). Indicators of School Crime and Safety: 2007 (NCES 2008-021/NCJ 219553). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice. Washington, DC.

Guerino, P., Hurwitz, M.D., Noonan, M.E., and Kaffenberger, S.M. (2007). Crime, Violence, Discipline, and Safety in U.S. Public Schools: Findings from the School Survey on Crime and Safety: 2003-04. First Look. (NCES 2007-302) National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

Jekielek, S., Brown, B., Marin, P., and Lippman, L. (2007). Public School Practices for Violence Prevention and Reduction: 2003-04 (NCES 2007-010). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

Nickerson, A.B., and Spears, W.H. (2007). Influences on Authoritarian and Educational/Therapeutic Approaches to School Violence Prevention. Journal of School Violence, 6(4): 3-31.

Nolle, K.L., Guerino, P., and Dinkes, R. (2007). Crime, Violence, Discipline, and Safety in U.S. Public Schools: Findings From the School Survey on Crime and Safety: 2005-06 (NCES 2007-361). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

Dinkes, R., Cataldi, E.F., Kena, G., and Baum, K. (2006). Indicators of School Crime and Safety: 2006 (NCES 2007-003/NCJ 214262). U.S. Departments of Education and Justice. Washington, DC: U.S. Government Printing Office.

Nickerson, A. B., and Osborne, K. M. (2006). Crisis preparedness, response, and management: Surveys of school professionals. In S. R. Jimerson and M. J. Furlong (Eds.), Handbook of school violence and school safety: From research to practice (pp. 89-101). Mahwah, NJ: Lawrence Erlbaum.

DeVoe, J.F., Peter, K., Noonan, M., Snyder, T.D., and Baum, K. (2005). Indicators of School Crime and Safety: 2005. U.S. Departments of Education and Justice. Washington, DC: U.S. Government Printing Office.

DeVoe, J.F., Peter, K., Kaufman, P., Miller, A., Noonan, M., Snyder, T.D., and Baum, K. (2004). Indicators of School Crime and Safety: 2004 (NCES 2005-002/NCJ 205290). U.S. Departments of Education and Justice. Washington, DC: U.S. Government Printing Office.

DeVoe, J.F., Peter, K., Kaufman, P., Ruddy, S.A., Miller, A.K., Planty, M., Snyder, T.D., and Rand, M.R (2003). Indicators of School Crime and Safety: 2003. U.S. Departments of Education and Justice. NCES 2004-004/NCJ 201257. Washington, DC: 2003.

Miller, A.M. (2003). Violence in U.S. Public Schools: 2000 School Survey on Crime and Safety, (NCES 2004- 314 REVISED). U.S. Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office.

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Data Files Description File-by-File Description

da25681-0001.txtFile Name:

The records in the data file contain information regarding crime, violence, and disorder in our nation's schools. Data is provided at the school-level.

Contents of Files:

File Dimensions: • No. of Cases: 2,772

• No. of Variables: 517

• Record Length: 1,513

• Records per Case: 1

• Overall No. of Records: 2,772

ASCII data fileType of File:

Logical record lengthData Format:

Ann Arbor, MI: Inter-university Consortium for Political and Social ResearchPlace of File Production:

The data collection was processed according to standard ICPSR processing procedures. The data were checked for illegal or inconsistent code values which, when found, were resolved or recoded to missing data. No consistency checks were performed.

Extent of Processing Checks:

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ICPSR 25681

The School Survey on Crime and Safety (SSOCS), 2004

Variable Description

Summary statistics (minimum, maximum, mean, median, and standard deviation) may not be available for every variable in the codebook. Conversely, a listing of frequencies in table format may not be present for every variable in the codebook either. However, all variables in the dataset are present and display sufficient information about each variable. These decisions are made intentionally and are at the discretion of the archive producing this codebook.

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The School Survey on Crime and Safety (SSOCS), 2004

da25681-0001.txt

Variable Groups

Variable Groups Containing Variables

PageVariable Group LabelVariable Group Name

9SCHOOL IDENTIFIERVG1

9RESPONDENT INFORMATIONVG2

9SCHOOL PRACTICES AND PROGRAMSVG3

10PARENT AND COMMUNITY INVOLVEMENT AT SCHOOLVG4

11SCHOOL SECURITYVG5

12TEACHER TRAININGVG6

12LIMITATIONS ON CRIME PREVENTIONVG7

12FREQUENCY OF CRIME AND VIOLENCE AT SCHOOLVG8

13NUMBER OF INCIDENTSVG9

13DISCIPLINARY PROBLEMS AND ACTIONSVG10

16SCHOOL CHARACTERISTICSVG11

16RECORDED TOTALSVG12

17WEIGHTSVG13

18IMPUTATION FLAGSVG14

SCHOOL IDENTIFIERVG1

Variables within this Variable Group

PageVariable LabelVariable

24TEMPORARY UNIQUE SCHOOL IDENTIFIERABTID

RESPONDENT INFORMATIONVG2

Variables within this Variable Group

PageVariable LabelVariable

24NUMBER OF YEARS RESPONDENT AT THE SCHOOLQ_NUMYRS

24TITLE/POSITION OF RESPONDENTQ_RESP

25TITLE/POSITION OF RESPONDENT - OTHER VERBATIM RESPONSES

Q_R_SPFY

SCHOOL PRACTICES AND PROGRAMSVG3

Variables within this Variable Group

PageVariable LabelVariable

25SCHOOL PRACTICE REQUIRES VISITOR CHECK INQ1A

25ACCESS CONTROLLED LOCKED/MONITORED DOORSQ1B

25GROUNDS HAVE LOCKED/MONITORED GATESQ1C

26STUDENTS PASS THROUGH METAL DETECTORSQ1D

26VISITORS PASS THROUGH METAL DETECTORSQ1E

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Variables within this Variable Group

PageVariable LabelVariable

26HAVE RANDOM METAL DETECTOR CHECKS ON STUDENTSQ1F

27PRACTICE TO CLOSE CAMPUS FOR LUNCHQ1G

27PRACTICE RANDOM DOG SNIFFS FOR DRUGSQ1H

27RANDOM SWEEPS FOR CONTRABAND NOT INCLUDING DOG SNIFFS

Q1I

28REQUIRE DRUG TESTING FOR ANY STUDENTSQ1J

28REQUIRE DRUG TESTING FOR ATHLETESQ1K

29REQUIRE DRUG TESTING FOR STUDENTS IN EXTRA-CURRICULAR ACTIVITIES

Q1L

29REQUIRE STUDENTS TO WEAR UNIFORMSQ1M

29PRACTICE TO ENFORCE A STRICT DRESS CODEQ1N

30PROVIDE SCHOOL LOCKERS TO STUDENTSQ1O

30REQUIRE CLEAR BOOK BAGS OR BAN BOOK BAGSQ1P

30REQUIRE STUDENTS TO WEAR BADGE OR PHOTO IDQ1Q

31REQUIRE FACULTY/STAFF TO WEAR BADGE OR PHOTO IDQ1R

31SECURITY CAMERA(S) MONITOR THE SCHOOLQ1S

31PROVIDE TELEPHONES IN MOST CLASSROOMSQ1T

32PROVIDE TWO-WAY RADIOS TO ANY STAFFQ1U

32TOBACCO PROHIBITED ON SCHOOL GROUNDSQ1V

32SCHOOL HAS WRITTEN PLAN FOR SHOOTINGSQ2A1

33DRILLED STUDENTS ON PLAN FOR SHOOTINGSQ2A2

33WRITTEN PLAN FOR NATURAL DISASTERSQ2B1

33DRILLED STUDENTS ON PLAN FOR NATURAL DISASTERSQ2B2

34WRITTEN CRISIS PLAN FOR HOSTAGESQ2C1

34DRILLED STUDENTS ON PLAN FOR HOSTAGESQ2C2

34WRITTEN PLAN FOR BOMB THREATSQ2D1

35DRILLED STUDENTS ON PLAN FOR BOMB THREATSQ2D2

35WRITTEN PLAN FOR CHEMICAL, BIOLOGICAL, OR RADIOLOGICAL THREATS

Q2E1

35DRILLED STUDENTS ON PLAN FOR CHEMICAL, BIOLOGICAL, OR RADIOLOGICAL THREATS

Q2E2

36PREVENTION CURRICULUM/INSTRUCTION/TRAININGQ3A

36BEHAVIORAL MODIFICATION FOR STUDENTSQ3B

36STUDENT COUNSELING/SOCIAL WORKQ3C

37INDIVIDUAL MENTORING/TUTORING STUDENTSQ3D

37RECREATION/ENRICHMENT STUDENT ACTIVITIESQ3E

37STUDENT INVOLVEMENT RESOLVING PROBLEMSQ3F

38PROMOTE SENSE OF COMMUNITY/INTEGRATIONQ3G

38HOTLINE/TIPLINE TO REPORT PROBLEMSQ3H

PARENT AND COMMUNITY INVOLVEMENT AT SCHOOLVG4

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Variables within this Variable Group

PageVariable LabelVariable

38FORMAL PROCESS TO OBTAIN PARENTAL INPUTQ4A

39PROVIDE TRAINING/ASSISTANCE TO PARENTSQ4B

39PROGRAM INVOLVES PARENTS AT SCHOOLQ4C

39PARENT PARTICIPATES IN OPEN HOUSE OR BACK-TO-SCHOOL NIGHT

Q5A

40PARENT PARTICIPATES IN PARENT-TEACHER CONFERENCEQ5B

40PARENT PARTICIPATES IN SUBJECT-AREA EVENTSQ5C

40PARENT VOLUNTEERS AT SCHOOLQ5D

41COMMUNITY INVOLVEMENT-PARENT GROUPSQ6A

41COMMUNITY INVOLVEMENT-SOCIAL SERVICESQ6B

41COMMUNITY INVOLVEMENT-JUVENILE JUSTICEQ6C

42COMMUNITY INVOLVEMENT-LAW ENFORCEMENTQ6D

42COMMUNITY INVOLVEMENT-MENTAL HEALTHQ6E

42COMMUNITY INVOLVEMENT-CIVIC ORGANIZATIONSQ6F

43COMMUNITY INVOLVEMENT-BUSINESSQ6G

43COMMUNITY INVOLVEMENT-RELIGIOUS ORGANIZATIONSQ6H

SCHOOL SECURITYVG5

Variables within this Variable Group

PageVariable LabelVariable

43SWORN LAW ENFORCEMENT OFFICER OR SECURITY GUARDQ7

44SECURITY USED DURING SCHOOL HOURSQ8A

44SECURITY WHILE STUDENTS ARRIVE/LEAVEQ8B

44SECURITY AT SELECTED SCHOOL ACTIVITIESQ8C

45SECURITY WHEN SCHOOL NOT OCCURRINGQ8D

45OTHER TIMES SECURITY USEDQ8E

45CODED OTHER TIMES SECURITY USEDQ8ECODE

46VERBATIM RESPONSESQ8E_SPFY

46# OF FULL-TIME SECURITY GUARDSQ9A1

46# OF PART-TIME SECURITY GUARDSQ9A2

46# OF FULL-TIME SCHOOL RESOURCE OFFICERSQ9B1

47# OF PART-TIME SCHOOL RESOURCE OFFICERSQ9B2

47# OF FULL-TIME SWORN LAW ENFORCEMENTOFFICERS---NOT SROS

Q9C1

47#OFPART-TIMESWORNLAWENFORCEMENTOFFICERS---NOT SROS

Q9C2

48GUARDS IN UNIFORM OR IDENTIFIABLE CLOTHESQ10A

48GUARDS ARMED WITH FIREARMSQ10B

48SECURITY ENFORCEMENT AND PATROLQ11A

49MAINTAIN SCHOOL DISCIPLINEQ11B

49COORDINATED WITH LOCAL POLICEQ11C

49IDENTIFY PROBLEMS AND SEEK SOLUTIONSQ11D

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Variables within this Variable Group

PageVariable LabelVariable

50TRAIN TEACHERS IN SCHOOL SAFETYQ11E

50MENTOR STUDENTSQ11F

50TEACH OR TRAIN STUDENTS (E.G., DRUG-RELATED EDUCATION)

Q11G

TEACHER TRAININGVG6

Variables within this Variable Group

PageVariable LabelVariable

51TEACHER TRAINING---CLASSROOM MANAGEMENTQ12A

51TEACHER TRAINING---DISCIPLINE POLICIESQ12B

51TEACHER TRAINING---SAFETY PROCEDURESQ12C

52TEACHER TRAINING---EARLY WARNING SIGNS FOR VIOLENT BEHAVIOR

Q12D

52TEACHER TRAINING---STUDENT ALCOHOL/DRUG ABUSEQ12E

52TEACHER TRAINING---POSITIVE BEHAVIORAL INTERVENTIONQ12F

LIMITATIONS ON CRIME PREVENTIONVG7

Variables within this Variable Group

PageVariable LabelVariable

53EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER TRAINING

Q14A

53EFFORTS LIMITED BY INADEQUATE/LACK OF ALTERNATIVE PLACEMENT

Q14B

53EFFORTS LIMITED BY PARENTAL COMPLAINTSQ14C

54EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER SUPPORT

Q14D

54EFFORTS LIMITED BY INADEQUATE/LACK OF PARENT SUPPORT

Q14E

54EFFORTS LIMITED BY FEAR OF STUDENT RETALIATIONQ14F

54EFFORTS LIMITED BY FEAR OF LITIGATIONQ14G

55EFFORTS LIMITED BY INADEQUATE FUNDSQ14H

55EFFORTS LIMITED BY INCONSISTENT APPLICATION OF POLICIES

Q14I

55EFFORTS LIMITED BY FEAR OF DISTRICT OR STATE REPRISALQ14J

56EFFORTS LIMITED BY FEDERAL POLICIES/SPECIAL EDQ14K

56EFFORTS LIMITED BY OTHER FEDERAL POLICIESQ14L

56EFFORTS LIMITED BY STATE/DISTRICT POLICYQ14M

FREQUENCY OF CRIME AND VIOLENCE AT SCHOOLVG8

Variables within this Variable Group

PageVariable LabelVariable

56ANY SCHOOL DEATHS FROM HOMICIDESQ15

57SCHOOL SHOOTING INCIDENTSQ16

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NUMBER OF INCIDENTSVG9

Variables within this Variable Group

PageVariable LabelVariable

57# OF RAPES/ATTEMPTED RAPES---TOTALQ17A1

57# OF RAPES REPORTED TO POLICEQ17A2

58# OF SEXUAL BATTERY OTHER THAN RAPE---TOTALQ17B1

58# OF SEXUAL BATTERY OTHER THAN RAPE REPORTED TO POLICE

Q17B2

58# OF ROBBERIES WITH WEAPON---TOTALQ17C1_1

58# OF ROBBERIES WITH WEAPON REPORTED TO POLICEQ17C1_2

58# OF INCIDENTS OF ROBBERY WITHOUT WEAPON---TOTALQ17C2_1

58# OF ROBBERY WITHOUT WEAPON REPORTED TO POLICEQ17C2_2

59# OF ATTACKS WITH WEAPON---TOTALQ17D1_1

59# OF ATTACKS WITH WEAPON REPORTED TO POLICEQ17D1_2

59# OF ATTACKS WITHOUT WEAPON---TOTALQ17D2_1

59# OF ATTACKS WITHOUT WEAPON REPORTED TO POLICEQ17D2_2

60# OF THREATS OF ATTACK WITH WEAPON---TOTALQ17E1_1

60# OF THREATS OF ATTACK WITH WEAPON REPORTED TO POLICE

Q17E1_2

60# OF THREATS OF ATTACK WITHOUT WEAPON---TOTALQ17E2_1

60# OF THREATS OF ATTACK WITHOUT WEAPON REPORTED TO POLICE

Q17E2_2

60# OF INCIDENTS THEFT/LARCENY---TOTALQ17F1

61# OF INCIDENTS THEFT/LARCENY REPORTED TO POLICEQ17F2

61# OF POSSESSION OF FIREARMS---TOTALQ17G1

61# OF POSSESSION OF FIREARMS REPORTED TO POLICEQ17G2

61# OF POSSESSION KNIFE/SHARP OBJECT---TOTALQ17H1

61# OF POSSESSION KNIFE/SHARP OBJECT REPORTED TO POLICE

Q17H2

61# OF DISTRIBUTION OF DRUGS---TOTALQ17I1

62# OF DISTRIBUTION OF DRUGS REPORTED TO POLICEQ17I2

62# OF POSSESSION OR USE OF ALCOHOL---TOTALQ17J1

62# OF POSSESSION OR USE OF ALCOHOL REPORTED TO POLICE

Q17J2

62# OF INCIDENTS OF VANDALISM---TOTALQ17K1

62# OF INCIDENT OF VANDALISM REPORTED TO POLICEQ17K2

62# OF HATE CRIMESQ18A

63# OF GANG-RELATED CRIMESQ18B

63# OF TIMES SCHOOL DISRUPTED (E.G., BOMB, CHEMICAL, RADIOLOGICAL, DEATH THREATS)

Q19

DISCIPLINARY PROBLEMS AND ACTIONSVG10

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Variables within this Variable Group

PageVariable LabelVariable

63HOW OFTEN STUDENT RACIAL TENSIONSQ20A

63HOW OFTEN STUDENT BULLYING OCCURSQ20B

64HOW OFTEN STUDENT SEXUAL HARASSMENT OF STUDENTQ20C

64HOW OFTEN STUDENT VERBAL ABUSE OF TEACHERSQ20D

64HOW OFTEN STUDENT DISORDER IN CLASSROOMSQ20E

65HOW OFTEN STUDENT ACTS OF DISRESPECTQ20F

65HOW OFTEN STUDENT GANG ACTIVITIESQ20G

65HOW OFTEN STUDENT CULT OR EXTREMIST ACTIVITIESQ20H

66REMOVAL WITH NO SERVICES AVAILABLEQ21A1

66REMOVAL WITH NO SERVICES---ACTION USEDQ21A2

66REMOVALWITHTUTORING/AT-HOMEINSTRUCTIONAVAILABLEQ21B1

67REMOVAL WITH TUTORING/AT-HOME INSTRUCTION---ACTION USED

Q21B2

67TRANSFER TO SPECIALIZED SCHOOL AVAILABLEQ21C1

67TRANSFER TO SPECIALIZED SCHOOL AVAILABLE---ACTION USED

Q21C2

68TRANSFER TO REGULAR SCHOOL AVAILABLEQ21D1

68TRANSFER TO REGULAR SCHOOL AVAILABLE---ACTION USEDQ21D2

68OUTSIDE SUSPENSION/NO SERVICES AVAILABLEQ21E1

69OUTSIDE SUSPENSION/NO SERVICES AVAILABLE---ACTION USED

Q21E2

69OUTSIDE SUSPENSION WITH SERVICES AVAILABLEQ21F1

69OUTSIDE SUSPENSION WITH SERVICES AVAILABLE---ACTION USED

Q21F2

70IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLEQ21G1

70IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLE---ACTION USED

Q21G2

70IN-SCHOOL SUSPENSION WITH SERVICES AVAILABLEQ21H1

71IN-SCHOOLSUSPENSIONWITHSERVICESAVAILABLE---ACTION USED

Q21H2

71REFERRAL TO SCHOOL COUNSELOR AVAILABLEQ21I1

71REFERRAL TO SCHOOL COUNSELOR AVAILABLE---ACTION USED

Q21I2

72IN-SCHOOL DISCIPLINARY PLAN AVAILABLEQ21J1

72IN-SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USEDQ21J2

72OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLEQ21K1

73OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USED

Q21K2

73KEEP OFF BUS FOR MISBEHAVIOR AVAILABLEQ21L1

73KEEP OFF BUS FOR MISBEHAVIOR AVAILABLE---ACTIONUSEDQ21L2

74CORPORAL PUNISHMENT AVAILABLEQ21M1

74CORPORAL PUNISHMENT AVAILABLE---ACTION USEDQ21M2

74SCHOOL PROBATION AVAILABLEQ21N1

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Variables within this Variable Group

PageVariable LabelVariable

75SCHOOL PROBATION AVAILABLE---ACTION USEDQ21N2

75DETENTION/SATURDAY SCHOOL AVAILABLEQ21O1

75DETENTION/SATURDAY SCHOOL AVAILABLE---ACTION USEDQ21O2

76LOSS OF STUDENT PRIVILEGES AVAILABLEQ21P1

76LOSS OF STUDENT PRIVILEGES AVAILABLE---ACTION USEDQ21P2

76REQUIRE COMMUNITY SERVICE AVAILABLEQ21Q1

77REQUIRE COMMUNITY SERVICE AVAILABLE---ACTION USEDQ21Q2

77STUDENT USE/POSSESSION FIREARM/EXPLOSIVE DEVICE---TOTAL

Q22A1

77# OF REMOVALS FOR FIREARM USE/POSSESSIONQ22A2

78# OF TRANSFERS FOR FIREARM USE/POSSESSIONQ22A3

78# OF SUSPENSIONS FOR FIREARM USE/POSSESSIONQ22A4

78# OF OTHER ACTIONS FOR FIREARM USE/POSSESSIONQ22A5

78STUDENT USE/POSSESSION WEAPON (OTHER THAN FIREARM)---TOTAL

Q22B1

78# OF REMOVALS FOR WEAPON USEQ22B2

79# OF TRANSFERS FOR WEAPON USEQ22B3

79# OF SUSPENSIONS FOR WEAPON USEQ22B4

79# OF OTHER ACTIONS FOR WEAPON USEQ22B5

79# OF DISTRIBUTION/POSSESSION/USE ILLEGAL DRUGS---TOTAL

Q22C1

80# OF REMOVALS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGS

Q22C2

80# OF TRANSFERS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGS

Q22C3

80# OF SUSPENSIONS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGS

Q22C4

80# OF OTHER ACTIONS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGS

Q22C5

80# OF DISTRIBUTION/POSSESSION/USE ALCOHOL---TOTALQ22D1

81# OF REMOVALS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOL

Q22D2

81# OF TRANSFERS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOL

Q22D3

81# OF SUSPENSIONS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOL

Q22D4

81# OF OTHER ACTIONS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOL

Q22D5

81ATTACKS/FIGHTS---TOTALQ22E1

82# OF REMOVALS FOR ATTACKS/FIGHTSQ22E2

82# OF TRANSFERS FOR ATTACKS/FIGHTSQ22E3

82# OF SUSPENSIONS FOR ATTACKS/FIGHTSQ22E4

82# OF OTHER ACTIONS FOR ATTACKS/FIGHTSQ22E5

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Variables within this Variable Group

PageVariable LabelVariable

82INSUBORDINATION---TOTALQ22F1

83# OF REMOVALS FOR INSUBORDINATIONQ22F2

83# OF TRANSFERS FOR INSUBORDINATIONQ22F3

83# OF SUSPENSIONS FOR INSUBORDINATIONQ22F4

83# OF OTHER ACTIONS FOR INSUBORDINATIONQ22F5

83# OF REMOVALS WITH NO SERVICE---TOTALQ23A

84# OF TRANSFERS TO SPECIALIZED SCHOOLS---TOTALQ23B

SCHOOL CHARACTERISTICSVG11

Variables within this Variable Group

PageVariable LabelVariable

84PERCENT STUDENTS LIMITED ENGLISH PROFICIENTQ25B

84PERCENT SPECIAL-EDUCATION STUDENTSQ25C

84PERCENT STUDENTS BELOW 15TH PERCENTILE STANDARDIZED TESTS

Q26A

84PERCENT STUDENTS LIKELY TO GO TO COLLEGEQ26B

84PERCENT STUDENTS ACADEMIC ACHIEVEMENT IMPORTANTQ26C

85TYPICAL NUMBER OF CLASSROOM CHANGESQ27

85# OF PAID FULL-TIME SPECIAL-ED TEACHERQ28A1

85# OF PAID PART-TIME SPECIAL-ED TEACHERQ28A2

85# OF PAID FULL-TIME SPECIAL-ED AIDESQ28B1

85# OF PAID PART-TIME SPECIAL-ED AIDESQ28B2

85# OF PAID FULL-TIME COUNSELORSQ28E1

86# OF PAID PART-TIME COUNSELORSQ28E2

86CRIME WHERE STUDENTS LIVEQ29

86CRIME WHERE SCHOOL LOCATEDQ30

86AVERAGE PERCENT DAILY ATTENDANCEQ32

86# OF STUDENTS TRANSFERRED TO SCHOOLQ33A

87# OF STUDENTS TRANSFERRED FROM SCHOOLQ33B

87DATE QUESTIONNAIRE COMPLETEDQ34C_DD

87MONTH QUESTIONNAIRE COMPLETEDQ34C_MM

87YEAR QUESTIONNAIRE COMPLETEDQ34C_YY

88NESTING VARIABLESTRATA64

91RECODED % MINORITY STUDENT ENROLLMENT IN SCHOOL---BASED ON 03-04 SASS FRAME VARIABLE (SCHOOL)

FR_CATMN

91URBANICITY---FROM 03-04 SASS FRAME VARIABLE (SCHOOL)FR_LOC4

91SCHOOL GRADES OFFERED---BASED ON 03-04 SASS FRAME VARIABLES (SCHOOL)

FR_LVEL

91SCHOOL SIZE CATEGORIES---FROM 03-04 SASS FRAME (SCHOOL)

FR_SIZE

RECORDED TOTALSVG12

- 16 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

88NUMBER OF TYPES OF CRISES COVERED IN WRITTEN PLANSCRISIS04

88TOTAL NUMBER OF DISCIPLINARY ACTIONS RECORDEDDISTOT04

88TOTAL NUMBER OF INCIDENTS RECORDEDINCID04

88TOTAL NUMBER OF INCIDENTS REPORTED TO POLICEINCPOL04

88TOTAL 'OTHER ACTIONS' FOR SPECIFIED OFFENSESOTHACT04

88TOTAL OSS > 5 DAYS BUT < THE REMAINDER OF SCHOOL FOR SPECIFIED OFFENSES

OUTSUS04

88NUMBER OF TYPES OF PROBLEMS THAT OCCUR AT LEAST ONCE A WEEK

PROBWK04

88TOTAL REMOVALS WITH NO CONTINUING SCHOOL SERVICES FOR SPECIFIED OFFENSES

REMOVL04

88NESTING VARIABLESTRATA64

90TOTAL STUDENTS INVOLVED IN SPECIFIED OFFENSESSTUOFF04

90TOTAL NUMBER OF SERIOUS VIOLENT INCIDENTS RECORDEDSVINC04

90TOTAL NUMBER OF SERIOUS VIOLENT INCIDENTS REPORTED TO POLICE

SVPOL04

90TOTAL TRANSFERS TO SPECIALIZED SCHOOLS FOR SPECIFIED OFFENSES

TRANSF04

90TOTAL NUMBER OF VIOLENT INCIDENTS RECORDEDVIOINC04

90TOTAL NUMBER OF VIOLENT INCIDENTS REPORTED TO POLICE

VIOPOL04

WEIGHTSVG13

Variables within this Variable Group

PageVariable LabelVariable

91FINAL WEIGHT FOR THE SAMPLEFINALWGT

91JACKKNIFE REPLICATE 1REPWGT1

92JACKKNIFE REPLICATE 2REPWGT2

92JACKKNIFE REPLICATE 3REPWGT3

92JACKKNIFE REPLICATE 4REPWGT4

92JACKKNIFE REPLICATE 5REPWGT5

92JACKKNIFE REPLICATE 6REPWGT6

92JACKKNIFE REPLICATE 7REPWGT7

92JACKKNIFE REPLICATE 8REPWGT8

92JACKKNIFE REPLICATE 9REPWGT9

92JACKKNIFE REPLICATE 10REPWGT10

92JACKKNIFE REPLICATE 11REPWGT11

92JACKKNIFE REPLICATE 12REPWGT12

92JACKKNIFE REPLICATE 13REPWGT13

92JACKKNIFE REPLICATE 14REPWGT14

93JACKKNIFE REPLICATE 15REPWGT15

93JACKKNIFE REPLICATE 16REPWGT16

- 17 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

93JACKKNIFE REPLICATE 17REPWGT17

93JACKKNIFE REPLICATE 18REPWGT18

93JACKKNIFE REPLICATE 19REPWGT19

93JACKKNIFE REPLICATE 20REPWGT20

93JACKKNIFE REPLICATE 21REPWGT21

93JACKKNIFE REPLICATE 22REPWGT22

93JACKKNIFE REPLICATE 23REPWGT23

93JACKKNIFE REPLICATE 24REPWGT24

93JACKKNIFE REPLICATE 25REPWGT25

93JACKKNIFE REPLICATE 26REPWGT26

93JACKKNIFE REPLICATE 27REPWGT27

94JACKKNIFE REPLICATE 28REPWGT28

94JACKKNIFE REPLICATE 29REPWGT29

94JACKKNIFE REPLICATE 30REPWGT30

94JACKKNIFE REPLICATE 31REPWGT31

94JACKKNIFE REPLICATE 32REPWGT32

94JACKKNIFE REPLICATE 33REPWGT33

94JACKKNIFE REPLICATE 34REPWGT34

94JACKKNIFE REPLICATE 35REPWGT35

94JACKKNIFE REPLICATE 36REPWGT36

94JACKKNIFE REPLICATE 37REPWGT37

94JACKKNIFE REPLICATE 38REPWGT38

94JACKKNIFE REPLICATE 39REPWGT39

94JACKKNIFE REPLICATE 40REPWGT40

95JACKKNIFE REPLICATE 41REPWGT41

95JACKKNIFE REPLICATE 42REPWGT42

95JACKKNIFE REPLICATE 43REPWGT43

95JACKKNIFE REPLICATE 44REPWGT44

95JACKKNIFE REPLICATE 45REPWGT45

95JACKKNIFE REPLICATE 46REPWGT46

95JACKKNIFE REPLICATE 47REPWGT47

95JACKKNIFE REPLICATE 48REPWGT48

95JACKKNIFE REPLICATE 49REPWGT49

95JACKKNIFE REPLICATE 50REPWGT50

IMPUTATION FLAGSVG14

Variables within this Variable Group

PageVariable LabelVariable

95"IMPUTATION FLAG"IQ1A

96IMPUTATION FLAGIQ1B

97IMPUTATION FLAGIQ1C

- 18 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

98IMPUTATION FLAGIQ1D

99IMPUTATION FLAGIQ1E

100IMPUTATION FLAGIQ1F

100IMPUTATION FLAGIQ1G

101IMPUTATION FLAGIQ1H

102IMPUTATION FLAGIQ1I

103IMPUTATION FLAGIQ1J

104IMPUTATION FLAGIQ1K

105IMPUTATION FLAGIQ1L

105IMPUTATION FLAGIQ1M

106IMPUTATION FLAGIQ1N

107IMPUTATION FLAGIQ1O

108IMPUTATION FLAGIQ1P

109IMPUTATION FLAGIQ1Q

110IMPUTATION FLAGIQ1R

111IMPUTATION FLAGIQ1S

111IMPUTATION FLAGIQ1T

112IMPUTATION FLAGIQ1U

113IMPUTATION FLAGIQ1V

114IMPUTATION FLAGIQ2A1

115IMPUTATION FLAGIQ2A2

116IMPUTATION FLAGIQ2B1

116IMPUTATION FLAGIQ2B2

117IMPUTATION FLAGIQ2C1

118IMPUTATION FLAGIQ2C2

119IMPUTATION FLAGIQ2D1

120IMPUTATION FLAGIQ2D2

121IMPUTATION FLAGIQ2E1

121IMPUTATION FLAGIQ2E2

122IMPUTATION FLAGIQ3A

123IMPUTATION FLAGIQ3B

124IMPUTATION FLAGIQ3C

125IMPUTATION FLAGIQ3D

126IMPUTATION FLAGIQ3E

127IMPUTATION FLAGIQ3F

127IMPUTATION FLAGIQ3G

128IMPUTATION FLAGIQ3H

129IMPUTATION FLAGIQ4A

130IMPUTATION FLAGIQ4B

131IMPUTATION FLAGIQ4C

132IMPUTATION FLAGIQ5A

- 19 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

132IMPUTATION FLAGIQ5B

133IMPUTATION FLAGIQ5C

134IMPUTATION FLAGIQ5D

135IMPUTATION FLAGIQ6A

136IMPUTATION FLAGIQ6B

137IMPUTATION FLAGIQ6C

137IMPUTATION FLAGIQ6D

138IMPUTATION FLAGIQ6E

139IMPUTATION FLAGIQ6F

140IMPUTATION FLAGIQ6G

141IMPUTATION FLAGIQ6H

142IMPUTATION FLAGIQ7

143IMPUTATION FLAGIQ8A

143IMPUTATION FLAGIQ8B

144IMPUTATION FLAGIQ8C

145IMPUTATION FLAGIQ8D

146IMPUTATION FLAGIQ8E

147IMPUTATION FLAGIQ9A1

148IMPUTATION FLAGIQ9A2

148IMPUTATION FLAGIQ9B1

149IMPUTATION FLAGIQ9B2

150IMPUTATION FLAGIQ9C1

151IMPUTATION FLAGIQ9C2

152IMPUTATION FLAGIQ10A

153IMPUTATION FLAGIQ10B

153IMPUTATION FLAGIQ11A

154IMPUTATION FLAGIQ11B

155IMPUTATION FLAGIQ11C

156IMPUTATION FLAGIQ11D

157IMPUTATION FLAGIQ11E

158IMPUTATION FLAGIQ11F

159IMPUTATION FLAGIQ11G

159IMPUTATION FLAGIQ12A

160IMPUTATION FLAGIQ12B

161IMPUTATION FLAGIQ12C

162IMPUTATION FLAGIQ12D

163IMPUTATION FLAGIQ12E

164IMPUTATION FLAGIQ12F

164IMPUTATION FLAGIQ14A

165IMPUTATION FLAGIQ14B

166IMPUTATION FLAGIQ14C

- 20 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

167IMPUTATION FLAGIQ14D

168IMPUTATION FLAGIQ14E

169IMPUTATION FLAGIQ14F

169IMPUTATION FLAGIQ14G

170IMPUTATION FLAGIQ14H

171IMPUTATION FLAGIQ14I

172IMPUTATION FLAGIQ14J

173IMPUTATION FLAGIQ14K

174IMPUTATION FLAGIQ14L

175IMPUTATION FLAGIQ14M

175IMPUTATION FLAGIQ15

176IMPUTATION FLAGIQ16

177IMPUTATION FLAGIQ17A1

178IMPUTATION FLAGIQ17A2

179IMPUTATION FLAGIQ17B1

180IMPUTATION FLAGIQ17B2

180IMPUTATION FLAGIQ17C1_1

181IMPUTATION FLAGIQ17C1_2

182IMPUTATION FLAGIQ17C2_1

183IMPUTATION FLAGIQ17C2_2

184IMPUTATION FLAGIQ17D1_1

185IMPUTATION FLAGIQ17D1_2

185IMPUTATION FLAGIQ17D2_1

186IMPUTATION FLAGIQ17D2_2

187IMPUTATION FLAGIQ17E1_1

188IMPUTATION FLAGIQ17E1_2

189IMPUTATION FLAGIQ17E2_1

190IMPUTATION FLAGIQ17E2_2

191IMPUTATION FLAGIQ17F1

191IMPUTATION FLAGIQ17F2

192IMPUTATION FLAGIQ17G1

193IMPUTATION FLAGIQ17G2

194IMPUTATION FLAGIQ17H1

195IMPUTATION FLAGIQ17H2

196IMPUTATION FLAGIQ17I1

196IMPUTATION FLAGIQ17I2

197IMPUTATION FLAGIQ17J1

198IMPUTATION FLAGIQ17J2

199IMPUTATION FLAGIQ17K1

200IMPUTATION FLAGIQ17K2

201IMPUTATION FLAGIQ18A

- 21 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

201IMPUTATION FLAGIQ18B

202IMPUTATION FLAGIQ19

203IMPUTATION FLAGIQ20A

204IMPUTATION FLAGIQ20B

205IMPUTATION FLAGIQ20C

206IMPUTATION FLAGIQ20D

207IMPUTATION FLAGIQ20E

207IMPUTATION FLAGIQ20F

208IMPUTATION FLAGIQ20G

209IMPUTATION FLAGIQ20H

210IMPUTATION FLAGIQ21A1

211IMPUTATION FLAGIQ21A2

212IMPUTATION FLAGIQ21B1

212IMPUTATION FLAGIQ21B2

213IMPUTATION FLAGIQ21C1

214IMPUTATION FLAGIQ21C2

215IMPUTATION FLAGIQ21D1

216IMPUTATION FLAGIQ21D2

217IMPUTATION FLAGIQ21E1

217IMPUTATION FLAGIQ21E2

218IMPUTATION FLAGIQ21F1

219IMPUTATION FLAGIQ21F2

220IMPUTATION FLAGIQ21G1

221IMPUTATION FLAGIQ21G2

222IMPUTATION FLAGIQ21H1

223IMPUTATION FLAGIQ21H2

223IMPUTATION FLAGIQ21I1

224IMPUTATION FLAGIQ21I2

225IMPUTATION FLAGIQ21J1

226IMPUTATION FLAGIQ21J2

227IMPUTATION FLAGIQ21K1

228IMPUTATION FLAGIQ21K2

228IMPUTATION FLAGIQ21L1

229IMPUTATION FLAGIQ21L2

230IMPUTATION FLAGIQ21M1

231IMPUTATION FLAGIQ21M2

232IMPUTATION FLAGIQ21N1

233IMPUTATION FLAGIQ21N2

233IMPUTATION FLAGIQ21O1

234IMPUTATION FLAGIQ21O2

235IMPUTATION FLAGIQ21P1

- 22 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

236IMPUTATION FLAGIQ21P2

237IMPUTATION FLAGIQ21Q1

238IMPUTATION FLAGIQ21Q2

239IMPUTATION FLAGIQ22A1

239IMPUTATION FLAGIQ22A2

240IMPUTATION FLAGIQ22A3

241IMPUTATION FLAGIQ22A4

242IMPUTATION FLAGIQ22A5

243IMPUTATION FLAGIQ22B1

244IMPUTATION FLAGIQ22B2

244IMPUTATION FLAGIQ22B3

245IMPUTATION FLAGIQ22B4

246IMPUTATION FLAGIQ22B5

247IMPUTATION FLAGIQ22C1

248IMPUTATION FLAGIQ22C2

249IMPUTATION FLAGIQ22C3

249IMPUTATION FLAGIQ22C4

250IMPUTATION FLAGIQ22C5

251IMPUTATION FLAGIQ22D1

252IMPUTATION FLAGIQ22D2

253IMPUTATION FLAGIQ22D3

254IMPUTATION FLAGIQ22D4

255IMPUTATION FLAGIQ22D5

255IMPUTATION FLAGIQ22E1

256IMPUTATION FLAGIQ22E2

257IMPUTATION FLAGIQ22E3

258IMPUTATION FLAGIQ22E4

259IMPUTATION FLAGIQ22E5

260IMPUTATION FLAGIQ22F1

260IMPUTATION FLAGIQ22F2

261IMPUTATION FLAGIQ22F3

262IMPUTATION FLAGIQ22F4

263IMPUTATION FLAGIQ22F5

264IMPUTATION FLAGIQ23A

265IMPUTATION FLAGIQ23B

265IMPUTATION FLAGIQ25B

266IMPUTATION FLAGIQ25C

267IMPUTATION FLAGIQ26A

268IMPUTATION FLAGIQ26B

269IMPUTATION FLAGIQ26C

270IMPUTATION FLAGIQ27

- 23 -

- Study 25681 -

Variables within this Variable Group

PageVariable LabelVariable

271IMPUTATION FLAGIQ28A1

271IMPUTATION FLAGIQ28A2

272IMPUTATION FLAGIQ28B1

273IMPUTATION FLAGIQ28B2

274IMPUTATION FLAGIQ28E1

275IMPUTATION FLAGIQ28E2

276IMPUTATION FLAGIQ29

276IMPUTATION FLAGIQ30

277IMPUTATION FLAGIQ32

278IMPUTATION FLAGIQ33A

279IMPUTATION FLAGIQ33B

TEMPORARY UNIQUE SCHOOL IDENTIFIERABTID

1-4(width: 4; decimal: 0)Location:

numericVariable Type:

NUMBER OF YEARS RESPONDENT AT THE SCHOOLQ_NUMYRS

5-6(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

Q_NUMYRS: NUMBER OF YEARS RESPONDENT AT THE SCHOOL

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

TITLE/POSITION OF RESPONDENTQ_RESP

7-8(width: 2; decimal: 0)Location:

numericVariable Type:

-9Range of Missing Values (M):

Q_RESP: TITLE/POSITION OF RESPONDENT

LabelValue

Principal1

Vice-principal or disciplinarian2

Counselor3

Administrative or secretarial staff4

Teacher or instructor5

Safe Schools staff6

Superintendent or district staff7

Security personnel8

- 24 -

- Study 25681 -

Q_RESP: TITLE/POSITION OF RESPONDENT

LabelValue

Other95

Not ascertained-9 (M)

TITLE/POSITION OF RESPONDENT - OTHER VERBATIM RESPONSESQ_R_SPFY

9-58(width: 50; decimal: 0)Location:

characterVariable Type:

SCHOOL PRACTICE REQUIRES VISITOR CHECK INQ1A

59-60(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

1. During the 2003-2004 school year, was it a practice of your school to do the following? (If your school changed its practices during the school year, please answer regarding your most recent practice. Check one response on each line.)

Question:

a. Require visitors to sign or check in

Q1A: SCHOOL PRACTICE REQUIRES VISITOR CHECK IN

LabelValue

Yes1

No2

Question was skipped-1 (M)

ACCESS CONTROLLED LOCKED/MONITORED DOORSQ1B

61-62(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

b. Control access to school buildings during school hours (e.g., locked or monitored doors)

Q1B: ACCESS CONTROLLED LOCKED/MONITORED DOORS

LabelValue

Yes1

No2

Question was skipped-1 (M)

GROUNDS HAVE LOCKED/MONITORED GATESQ1C

63-64(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

- 25 -

- Study 25681 -

Question:

c. Control access to school grounds during school hours (e.g., locked or monitored gates)

Q1C: GROUNDS HAVE LOCKED/MONITORED GATES

LabelValue

Yes1

No2

Question was skipped-1 (M)

STUDENTS PASS THROUGH METAL DETECTORSQ1D

65-66(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

d. Require students to pass through metal detectors each day

Q1D: STUDENTS PASS THROUGH METAL DETECTORS

LabelValue

Yes1

No2

Question was skipped-1 (M)

VISITORS PASS THROUGH METAL DETECTORSQ1E

67-68(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

e. Require visitors to pass through metal detectors

Q1E: VISITORS PASS THROUGH METAL DETECTORS

LabelValue

Yes1

No2

Question was skipped-1 (M)

HAVE RANDOM METAL DETECTOR CHECKS ON STUDENTSQ1F

69-70(width: 2; decimal: 0)Location:

numericVariable Type:

- 26 -

- Study 25681 -

-1Range of Missing Values (M):

Question:

f. Perform one or more random metal detector checks on students

Q1F: HAVE RANDOM METAL DETECTOR CHECKS ON STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PRACTICE TO CLOSE CAMPUS FOR LUNCHQ1G

71-72(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

g. Close the campus for most students during lunch

Q1G: PRACTICE TO CLOSE CAMPUS FOR LUNCH

LabelValue

Yes1

No2

Question was skipped-1 (M)

PRACTICE RANDOM DOG SNIFFS FOR DRUGSQ1H

73-74(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

h. Use one or more random dog sniffs to check for drugs

Q1H: PRACTICE RANDOM DOG SNIFFS FOR DRUGS

LabelValue

Yes1

No2

Question was skipped-1 (M)

RANDOM SWEEPS FOR CONTRABAND NOT INCLUDING DOG SNIFFSQ1I

75-76(width: 2; decimal: 0)Location:

- 27 -

- Study 25681 -

numericVariable Type:

-1Range of Missing Values (M):

Question:

i. Perform one or more random sweeps for contraband (e.g., drugs or weapons), but not including dog sniffs

Q1I: RANDOM SWEEPS FOR CONTRABAND NOT INCLUDING DOG SNIFFS

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE DRUG TESTING FOR ANY STUDENTSQ1J

77-78(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

j. Require drug testing for any students

Q1J: REQUIRE DRUG TESTING FOR ANY STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE DRUG TESTING FOR ATHLETESQ1K

79-80(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

k. Require drug testing for athletes

Q1K: REQUIRE DRUG TESTING FOR ATHLETES

LabelValue

Yes1

No2

Question was skipped-1 (M)

- 28 -

- Study 25681 -

REQUIRE DRUG TESTING FOR STUDENTS IN EXTRA-CURRICULAR ACTIVITIESQ1L

81-82(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

l. Require drug testing for students in extra-curricular activities other than athletics

Q1L: REQUIRE DRUG TESTING FOR STUDENTS IN EXTRA-CURRICULAR ACTIVITIES

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE STUDENTS TO WEAR UNIFORMSQ1M

83-84(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

m. Require students to wear uniforms

Q1M: REQUIRE STUDENTS TO WEAR UNIFORMS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PRACTICE TO ENFORCE A STRICT DRESS CODEQ1N

85-86(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

n. Enforce a strict dress code

Q1N: PRACTICE TO ENFORCE A STRICT DRESS CODE

LabelValue

Yes1

No2

- 29 -

- Study 25681 -

Q1N: PRACTICE TO ENFORCE A STRICT DRESS CODE

LabelValue

Question was skipped-1 (M)

PROVIDE SCHOOL LOCKERS TO STUDENTSQ1O

87-88(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

o. Provide school lockers to students

Q1O: PROVIDE SCHOOL LOCKERS TO STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE CLEAR BOOK BAGS OR BAN BOOK BAGSQ1P

89-90(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

p. Require clear book bags or ban book bags on school grounds

Q1P: REQUIRE CLEAR BOOK BAGS OR BAN BOOK BAGS

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE STUDENTS TO WEAR BADGE OR PHOTO IDQ1Q

91-92(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

q. Require students to wear badges or picture Ids

- 30 -

- Study 25681 -

Q1Q: REQUIRE STUDENTS TO WEAR BADGE OR PHOTO ID

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE FACULTY/STAFF TO WEAR BADGE OR PHOTO IDQ1R

93-94(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

r. Require faculty and staff to wear badges or picture Ids

Q1R: REQUIRE FACULTY/STAFF TO WEAR BADGE OR PHOTO ID

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY CAMERA(S) MONITOR THE SCHOOLQ1S

95-96(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

s. Use one or more security cameras to monitor the school

Q1S: SECURITY CAMERA(S) MONITOR THE SCHOOL

LabelValue

Yes1

No2

Question was skipped-1 (M)

PROVIDE TELEPHONES IN MOST CLASSROOMSQ1T

97-98(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

- 31 -

- Study 25681 -

t. Provide telephones in most classrooms

Q1T: PROVIDE TELEPHONES IN MOST CLASSROOMS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PROVIDE TWO-WAY RADIOS TO ANY STAFFQ1U

99-100(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

u. Provide two-way radios to any staff

Q1U: PROVIDE TWO-WAY RADIOS TO ANY STAFF

LabelValue

Yes1

No2

Question was skipped-1 (M)

TOBACCO PROHIBITED ON SCHOOL GROUNDSQ1V

101-102(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

v. Prohibit all tobacco use on school grounds

Q1V: TOBACCO PROHIBITED ON SCHOOL GROUNDS

LabelValue

Yes1

No2

Question was skipped-1 (M)

SCHOOL HAS WRITTEN PLAN FOR SHOOTINGSQ2A1

103-104(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

2. Does your school have a written plan that describes procedures to be performed in the following crises?

Question:

- 32 -

- Study 25681 -

a. Shootings

Q2A1: SCHOOL HAS WRITTEN PLAN FOR SHOOTINGS

LabelValue

Yes1

No2

Question was skipped-1 (M)

DRILLED STUDENTS ON PLAN FOR SHOOTINGSQ2A2

105-106(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

If yes, has your school drilled students on the use of this plan this school year?Question:

a. Shootings

Q2A2: DRILLED STUDENTS ON PLAN FOR SHOOTINGS

LabelValue

Yes1

No2

Question was skipped-1 (M)

WRITTEN PLAN FOR NATURAL DISASTERSQ2B1

107-108(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

2. Does your school have a written plan that describes procedures to be performed in the following crises?

Question:

b. Natural disasters (e.g., earthquakes or tornadoes)

Q2B1: WRITTEN PLAN FOR NATURAL DISASTERS

LabelValue

Yes1

No2

Question was skipped-1 (M)

DRILLED STUDENTS ON PLAN FOR NATURAL DISASTERSQ2B2

109-110(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

If yes, has your school drilled students on the use of this plan this school year?Question:

b. Natural disasters (e.g., earthquakes or tornadoes)

- 33 -

- Study 25681 -

Q2B2: DRILLED STUDENTS ON PLAN FOR NATURAL DISASTERS

LabelValue

Yes1

No2

Question was skipped-1 (M)

WRITTEN CRISIS PLAN FOR HOSTAGESQ2C1

111-112(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

2. Does your school have a written plan that describes procedures to be performed in the following crises?

Question:

c. Hostages

Q2C1: WRITTEN CRISIS PLAN FOR HOSTAGES

LabelValue

Yes1

No2

Question was skipped-1 (M)

DRILLED STUDENTS ON PLAN FOR HOSTAGESQ2C2

113-114(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

If yes, has your school drilled students on the use of this plan this school year?Question:

c. Hostages

Q2C2: DRILLED STUDENTS ON PLAN FOR HOSTAGES

LabelValue

Yes1

No2

Question was skipped-1 (M)

WRITTEN PLAN FOR BOMB THREATSQ2D1

115-116(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

2. Does your school have a written plan that describes procedures to be performed in the following crises?

Question:

d. Bomb threats or incidents

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Q2D1: WRITTEN PLAN FOR BOMB THREATS

LabelValue

Yes1

No2

Question was skipped-1 (M)

DRILLED STUDENTS ON PLAN FOR BOMB THREATSQ2D2

117-118(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

If yes, has your school drilled students on the use of this plan this school year?Question:

d. Bomb threats or incidents

Q2D2: DRILLED STUDENTS ON PLAN FOR BOMB THREATS

LabelValue

Yes1

No2

Question was skipped-1 (M)

WRITTEN PLAN FOR CHEMICAL, BIOLOGICAL, OR RADIOLOGICAL THREATSQ2E1

119-120(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

2. Does your school have a written plan that describes procedures to be performed in the following crises?

Question:

e. Chemical, biological or radiological threats or incidents (e.g., release of mustard gas, anthrax, smallpox or radioactive materials)

Q2E1: WRITTEN PLAN FOR CHEMICAL, BIOLOGICAL, OR RADIOLOGICAL THREATS

LabelValue

Yes1

No2

Question was skipped-1 (M)

DRILLED STUDENTS ON PLAN FOR CHEMICAL, BIOLOGICAL,OR RADIOLOGICALTHREATSQ2E2

121-122(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

If yes, has your school drilled students on the use of this plan this school year?Question:

e. Chemical, biological or radiological threats or incidents (e.g., release of mustard gas, anthrax, smallpox or radioactive materials)

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Q2E2: DRILLED STUDENTS ON PLAN FOR CHEMICAL, BIOLOGICAL, OR RADIOLOGICAL THREATS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PREVENTION CURRICULUM/INSTRUCTION/TRAININGQ3A

123-124(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

a. Prevention curriculum, instruction, or training for students (e.g., social skills training)

Q3A: PREVENTION CURRICULUM/INSTRUCTION/TRAINING

LabelValue

Yes1

No2

Question was skipped-1 (M)

BEHAVIORAL MODIFICATION FOR STUDENTSQ3B

125-126(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

b. Behavioral or behavior modification intervention for students

Q3B: BEHAVIORAL MODIFICATION FOR STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

STUDENT COUNSELING/SOCIAL WORKQ3C

127-128(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

c. Counseling, social work, psychological, or therapeutic activity for students

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Q3C: STUDENT COUNSELING/SOCIAL WORK

LabelValue

Yes1

No2

Question was skipped-1 (M)

INDIVIDUAL MENTORING/TUTORING STUDENTSQ3D

129-130(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

d. Individual attention/mentoring/tutoring/coaching of students by students or adults

Q3D: INDIVIDUAL MENTORING/TUTORING STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

RECREATION/ENRICHMENT STUDENT ACTIVITIESQ3E

131-132(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

e. Recreational, enrichment, or leisure activities for students

Q3E: RECREATION/ENRICHMENT STUDENT ACTIVITIES

LabelValue

Yes1

No2

Question was skipped-1 (M)

STUDENT INVOLVEMENT RESOLVING PROBLEMSQ3F

133-134(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

f. Student involvement in resolving student conduct problems (e.g., conflict resolution or peer mediation, student court)

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Q3F: STUDENT INVOLVEMENT RESOLVING PROBLEMS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PROMOTE SENSE OF COMMUNITY/INTEGRATIONQ3G

135-136(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

g. Programs to promote sense of community/social integration among students

Q3G: PROMOTE SENSE OF COMMUNITY/INTEGRATION

LabelValue

Yes1

No2

Question was skipped-1 (M)

HOTLINE/TIPLINE TO REPORT PROBLEMSQ3H

137-138(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

3. During the 2003-2004 school year, did your school have any formal programs intended to prevent or reduce violence that included the following components for students?

Question:

h. Hotline/tipline for students to report problems

Q3H: HOTLINE/TIPLINE TO REPORT PROBLEMS

LabelValue

Yes1

No2

Question was skipped-1 (M)

FORMAL PROCESS TO OBTAIN PARENTAL INPUTQ4A

139-140(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

4. Which of the following does your school do to involve or help parents?Question:

a. Have a formal process to obtain parent input on policies related to school crime and discipline

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Q4A: FORMAL PROCESS TO OBTAIN PARENTAL INPUT

LabelValue

Yes1

No2

Question was skipped-1 (M)

PROVIDE TRAINING/ASSISTANCE TO PARENTSQ4B

141-142(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

4. Which of the following does your school do to involve or help parents?Question:

b. Provide training or technical assistance to parents in dealing with students' problem behavior

Q4B: PROVIDE TRAINING/ASSISTANCE TO PARENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

PROGRAM INVOLVES PARENTS AT SCHOOLQ4C

143-144(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

4. Which of the following does your school do to involve or help parents?Question:

c. Have a program that involves parents at school helping to maintain school discipline

Q4C: PROGRAM INVOLVES PARENTS AT SCHOOL

LabelValue

Yes1

No2

Question was skipped-1 (M)

PARENT PARTICIPATES IN OPEN HOUSE OR BACK-TO-SCHOOL NIGHTQ5A

145-145(width: 1; decimal: 0)Location:

numericVariable Type:

5. What is your best estimate of the percentage of students who had at least one parent or guardian participating in the following events during the 2003-2004 school year?

Question:

a. Open house or back-to-school night

Q5A: PARENT PARTICIPATES IN OPEN HOUSE OR BACK-TO-SCHOOL NIGHT

LabelValue

0-25%1

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Q5A: PARENT PARTICIPATES IN OPEN HOUSE OR BACK-TO-SCHOOL NIGHT

LabelValue

26-50%2

51-75%3

76-100%4

School does not offer5

PARENT PARTICIPATES IN PARENT-TEACHER CONFERENCEQ5B

146-146(width: 1; decimal: 0)Location:

numericVariable Type:

5. What is your best estimate of the percentage of students who had at least one parent or guardian participating in the following events during the 2003-2004 school year?

Question:

b. Regularly scheduled parent-teacher conferences

Q5B: PARENT PARTICIPATES IN PARENT-TEACHER CONFERENCE

LabelValue

0-25%1

26-50%2

51-75%3

76-100%4

School does not offer5

PARENT PARTICIPATES IN SUBJECT-AREA EVENTSQ5C

147-147(width: 1; decimal: 0)Location:

numericVariable Type:

5. What is your best estimate of the percentage of students who had at least one parent or guardian participating in the following events during the 2003-2004 school year?

Question:

c. Special subject-area events (e.g. science fair, concerts)

Q5C: PARENT PARTICIPATES IN SUBJECT-AREA EVENTS

LabelValue

0-25%1

26-50%2

51-75%3

76-100%4

School does not offer5

PARENT VOLUNTEERS AT SCHOOLQ5D

148-148(width: 1; decimal: 0)Location:

numericVariable Type:

5. What is your best estimate of the percentage of students who had at least one parent or guardian participating in the following events during the 2003-2004 school year?

Question:

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d. Volunteered at school or served on a committee

Q5D: PARENT VOLUNTEERS AT SCHOOL

LabelValue

0-25%1

26-50%2

51-75%3

76-100%4

School does not offer5

COMMUNITY INVOLVEMENT-PARENT GROUPSQ6A

149-150(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

a. Parents groups

Q6A: COMMUNITY INVOLVEMENT-PARENT GROUPS

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-SOCIAL SERVICESQ6B

151-152(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

b. Social service agencies

Q6B: COMMUNITY INVOLVEMENT-SOCIAL SERVICES

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-JUVENILE JUSTICEQ6C

153-154(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

c. Juvenile justice agencies

Q6C: COMMUNITY INVOLVEMENT-JUVENILE JUSTICE

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-LAW ENFORCEMENTQ6D

155-156(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

d. Law enforcement agencies

Q6D: COMMUNITY INVOLVEMENT-LAW ENFORCEMENT

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-MENTAL HEALTHQ6E

157-158(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

e. Mental health agencies

Q6E: COMMUNITY INVOLVEMENT-MENTAL HEALTH

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-CIVIC ORGANIZATIONSQ6F

159-160(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

f. Civic organizations/service clubs

Q6F: COMMUNITY INVOLVEMENT-CIVIC ORGANIZATIONS

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-BUSINESSQ6G

161-162(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

g. Private corporations and business

Q6G: COMMUNITY INVOLVEMENT-BUSINESS

LabelValue

Yes1

No2

Question was skipped-1 (M)

COMMUNITY INVOLVEMENT-RELIGIOUS ORGANIZATIONSQ6H

163-164(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

6. Were any of the following community and outside groups involved in your school's efforts to promote safe, disciplined, and drug-free schools?

Question:

h. Religious organizations

Q6H: COMMUNITY INVOLVEMENT-RELIGIOUS ORGANIZATIONS

LabelValue

Yes1

No2

Question was skipped-1 (M)

SWORN LAW ENFORCEMENT OFFICER OR SECURITY GUARDQ7

165-166(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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7. During the 2003-2004 school year, did you have any sworn law enforcement officers, security guards, or security personnel present at your school on a regular basis?

Question:

Q7: SWORN LAW ENFORCEMENT OFFICER OR SECURITY GUARD

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY USED DURING SCHOOL HOURSQ8A

167-168(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

8. Were these sworn law enforcement officers, security guards, or security personnel regularly used in or around your school at the following times?

Question:

a. At any time during school hours

Q8A: SECURITY USED DURING SCHOOL HOURS

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY WHILE STUDENTS ARRIVE/LEAVEQ8B

169-170(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

8. Were these sworn law enforcement officers, security guards, or security personnel regularly used in or around your school at the following times?

Question:

b. While students were arriving or leaving

Q8B: SECURITY WHILE STUDENTS ARRIVE/LEAVE

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY AT SELECTED SCHOOL ACTIVITIESQ8C

171-172(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

8. Were these sworn law enforcement officers, security guards, or security personnel regularly used in or around your school at the following times?

Question:

c. At selected school activities (e.g., athletic and social events, open houses, science fairs)

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Q8C: SECURITY AT SELECTED SCHOOL ACTIVITIES

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY WHEN SCHOOL NOT OCCURRINGQ8D

173-174(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

8. Were these sworn law enforcement officers, security guards, or security personnel regularly used in or around your school at the following times?

Question:

d. When school/school activities not occurring

Q8D: SECURITY WHEN SCHOOL NOT OCCURRING

LabelValue

Yes1

No2

Question was skipped-1 (M)

OTHER TIMES SECURITY USEDQ8E

175-176(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -1Range of Missing Values (M):

8. Were these sworn law enforcement officers, security guards, or security personnel regularly used in or around your school at the following times?

Question:

e. Other (please specify)

Q8E: OTHER TIMES SECURITY USED

LabelValue

Refused-7

Yes1

No2

Not ascertained-9 (M)

Don't know-8 (M)

Question was skipped-1 (M)

CODED OTHER TIMES SECURITY USEDQ8ECODE

177-178(width: 2; decimal: 0)Location:

characterVariable Type:

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Q8ECODE: CODED OTHER TIMES SECURITY USED

LabelValue

No other/specify

Available as needed1

D.A.R.E. /education activities2

Other4

VERBATIM RESPONSESQ8E_SPFY

179-281(width: 103; decimal: 0)Location:

characterVariable Type:

# OF FULL-TIME SECURITY GUARDSQ9A1

282-283(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

9. How many of the following types of sworn law enforcement officers, security guards, or security personnel did you regularly have present in your school? (If an officer works full-time across various schools in the district, please count this as 'part-time' for this school.)

Question:

Security guards or security personnel (not law enforcement) - Full time

Q9A1: # OF FULL-TIME SECURITY GUARDS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

# OF PART-TIME SECURITY GUARDSQ9A2

284-285(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

Security guards or security personnel (not law enforcement) - Part timeQuestion:

Q9A2: # OF PART-TIME SECURITY GUARDS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

# OF FULL-TIME SCHOOL RESOURCE OFFICERSQ9B1

286-287(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

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School Resource Officers (Include all career law enforcement officers with arrest authority, who are assigned to work in collaboration with school organizations) - Full time

Question:

Q9B1: # OF FULL-TIME SCHOOL RESOURCE OFFICERS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

# OF PART-TIME SCHOOL RESOURCE OFFICERSQ9B2

288-289(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

School Resource Officers (Include all career law enforcement officers with arrest authority, who are assigned to work in collaboration with school organizations) - Part time

Question:

Q9B2: # OF PART-TIME SCHOOL RESOURCE OFFICERS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

# OF FULL-TIME SWORN LAW ENFORCEMENT OFFICERS---NOT SROSQ9C1

290-291(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

Sworn law enforcement officers who are not School Resource Officers - Full timeQuestion:

Q9C1: # OF FULL-TIME SWORN LAW ENFORCEMENT OFFICERS---NOT SROS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

# OF PART-TIME SWORN LAW ENFORCEMENT OFFICERS---NOT SROSQ9C2

292-293(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

Sworn law enforcement officers who are not School Resource Officers - Part timeQuestion:

Q9C2: # OF PART-TIME SWORN LAW ENFORCEMENT OFFICERS---NOT SROS

LabelValue

Missing-9 (M)

Don't Know-8 (M)

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Q9C2: # OF PART-TIME SWORN LAW ENFORCEMENT OFFICERS---NOT SROS

LabelValue

Refused-7 (M)

Question was skipped-1 (M)

GUARDS IN UNIFORM OR IDENTIFIABLE CLOTHESQ10A

294-295(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did any of the law enforcement officers, security guards, or security personnel at your school routinely wear a uniform (or other identifiable clothing) or carry a firearm during the times they were at your school?

Question:

a. Uniformed, or other identifiable clothing

Q10A: GUARDS IN UNIFORM OR IDENTIFIABLE CLOTHES

LabelValue

Yes1

No2

Question was skipped-1 (M)

GUARDS ARMED WITH FIREARMSQ10B

296-297(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Question:

b. Armed with firearm

Q10B: GUARDS ARMED WITH FIREARMS

LabelValue

Yes1

No2

Question was skipped-1 (M)

SECURITY ENFORCEMENT AND PATROLQ11A

298-299(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

a. Security enforcement and patrol

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Q11A: SECURITY ENFORCEMENT AND PATROL

LabelValue

Yes1

No2

Question was skipped-1 (M)

MAINTAIN SCHOOL DISCIPLINEQ11B

300-301(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

b. Maintaining school discipline and safety

Q11B: MAINTAIN SCHOOL DISCIPLINE

LabelValue

Yes1

No2

Question was skipped-1 (M)

COORDINATED WITH LOCAL POLICEQ11C

302-303(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

c. Coordination with local police and emergency team

Q11C: COORDINATED WITH LOCAL POLICE

LabelValue

Yes1

No2

Question was skipped-1 (M)

IDENTIFY PROBLEMS AND SEEK SOLUTIONSQ11D

304-305(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

d. Identifying problems in the school and proactively seeking solutions to those problems

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Q11D: IDENTIFY PROBLEMS AND SEEK SOLUTIONS

LabelValue

Yes1

No2

Question was skipped-1 (M)

TRAIN TEACHERS IN SCHOOL SAFETYQ11E

306-307(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

e. Training teachers and staff in school safety or crime prevention

Q11E: TRAIN TEACHERS IN SCHOOL SAFETY

LabelValue

Yes1

No2

Question was skipped-1 (M)

MENTOR STUDENTSQ11F

308-309(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

f. Mentoring students

Q11F: MENTOR STUDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACH OR TRAIN STUDENTS (E.G., DRUG-RELATED EDUCATION)Q11G

310-311(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

Did these sworn law enforcement officers, security guards, or security personnel participate in the following activities at your school?

Question:

g. Teaching a law-related education course or training students (e.g., drug-related education, criminal law or crime prevention courses)

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Q11G: TEACH OR TRAIN STUDENTS (E.G., DRUG-RELATED EDUCATION)

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---CLASSROOM MANAGEMENTQ12A

312-313(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

a. Classroom management for teachers

Q12A: TEACHER TRAINING---CLASSROOM MANAGEMENT

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---DISCIPLINE POLICIESQ12B

314-315(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

b. School-wide discipline policies and practices related to violence, alcohol and/or drug use

Q12B: TEACHER TRAINING---DISCIPLINE POLICIES

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---SAFETY PROCEDURESQ12C

316-317(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

c. Safety procedures

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Q12C: TEACHER TRAINING---SAFETY PROCEDURES

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---EARLY WARNING SIGNS FOR VIOLENT BEHAVIORQ12D

318-319(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

d. Recognizing early warning signs of students likely to exhibit violent behavior

Q12D: TEACHER TRAINING---EARLY WARNING SIGNS FOR VIOLENT BEHAVIOR

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---STUDENT ALCOHOL/DRUG ABUSEQ12E

320-321(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

e. Recognizing signs of students using/abusing alcohol and/or drugs

Q12E: TEACHER TRAINING---STUDENT ALCOHOL/DRUG ABUSE

LabelValue

Yes1

No2

Question was skipped-1 (M)

TEACHER TRAINING---POSITIVE BEHAVIORAL INTERVENTIONQ12F

322-323(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, which of the following trainings for classroom teachers or aides did your school or district provide?

Question:

f. Positive behavioral intervention strategies

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Q12F: TEACHER TRAINING---POSITIVE BEHAVIORAL INTERVENTION

LabelValue

Yes1

No2

Question was skipped-1 (M)

EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER TRAININGQ14A

324-324(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

a. Lack of or inadequate teacher training in classroom management

Q14A: EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER TRAINING

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY INADEQUATE/LACK OF ALTERNATIVE PLACEMENTQ14B

325-325(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

b. Lack of or inadequate alternative placements/programs for disruptive students

Q14B: EFFORTS LIMITED BY INADEQUATE/LACK OF ALTERNATIVE PLACEMENT

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY PARENTAL COMPLAINTSQ14C

326-326(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

c. Likelihood of complaints from parents

Q14C: EFFORTS LIMITED BY PARENTAL COMPLAINTS

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

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EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER SUPPORTQ14D

327-327(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

d. Lack of teacher support for school policies

Q14D: EFFORTS LIMITED BY INADEQUATE/LACK OF TEACHER SUPPORT

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY INADEQUATE/LACK OF PARENT SUPPORTQ14E

328-328(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

e. Lack of parental support for school policies

Q14E: EFFORTS LIMITED BY INADEQUATE/LACK OF PARENT SUPPORT

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY FEAR OF STUDENT RETALIATIONQ14F

329-329(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

f. Teachers' fear of student retaliation

Q14F: EFFORTS LIMITED BY FEAR OF STUDENT RETALIATION

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY FEAR OF LITIGATIONQ14G

330-330(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

g. Fear of litigation

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Q14G: EFFORTS LIMITED BY FEAR OF LITIGATION

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY INADEQUATE FUNDSQ14H

331-331(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

h. Inadequate funds

Q14H: EFFORTS LIMITED BY INADEQUATE FUNDS

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY INCONSISTENT APPLICATION OF POLICIESQ14I

332-332(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

i. Inconsistent application of school policies by faculty or staff

Q14I: EFFORTS LIMITED BY INCONSISTENT APPLICATION OF POLICIES

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY FEAR OF DISTRICT OR STATE REPRISALQ14J

333-333(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

j. Fear of district or state reprisal

Q14J: EFFORTS LIMITED BY FEAR OF DISTRICT OR STATE REPRISAL

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

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EFFORTS LIMITED BY FEDERAL POLICIES/SPECIAL EDQ14K

334-334(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

k. Federal, state, or district policies on disciplining special education students

Q14K: EFFORTS LIMITED BY FEDERAL POLICIES/SPECIAL ED

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY OTHER FEDERAL POLICIESQ14L

335-335(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

l. Other federal policies on discipline and safety

Q14L: EFFORTS LIMITED BY OTHER FEDERAL POLICIES

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

EFFORTS LIMITED BY STATE/DISTRICT POLICYQ14M

336-336(width: 1; decimal: 0)Location:

numericVariable Type:

To what extent did the following factors limit your school's efforts to reduce or prevent crime?Question:

m. Other state or district policies on discipline and safety

Q14M: EFFORTS LIMITED BY STATE/DISTRICT POLICY

LabelValue

Limit in major way1

Limit in minor way2

Does not limit3

ANY SCHOOL DEATHS FROM HOMICIDESQ15

337-338(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, did any of your school's students, faculty, or staff die as a result of a homicide committed at your school?

Question:

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Q15: ANY SCHOOL DEATHS FROM HOMICIDES

LabelValue

Yes1

No2

Question was skipped-1 (M)

SCHOOL SHOOTING INCIDENTSQ16

339-340(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

During the 2003-2004 school year, has there been at least one incident at your school that involved a shooting (whether or not anyone was hurt)? Please include those incidents that occurred at school, whether or not a student or non-student used the firearm.

Question:

Q16: SCHOOL SHOOTING INCIDENTS

LabelValue

Yes1

No2

Question was skipped-1 (M)

# OF RAPES/ATTEMPTED RAPES---TOTALQ17A1

341-341(width: 1; decimal: 0)Location:

numericVariable Type:

17. Please provide the number of incidents your school recorded during the 2003-2004 school year for the offenses listed below. Please provide information on:

Question:

The number of incidents, not the number of victims or offenders.

Recorded incidents, regardless of whether any disciplinary action was taken.

Recorded incidents, regardless of whether students or non-students were involved.

Incidents occurring before, during, or after normal school hours.

Only the most serious offense when an incident involved multiple offenses. For example, if an incident included a rape and robbery, include the incident only under rape. The list below does not necessarily dictate the order of seriousness. Use your own judgment when determining which is the most serious offense.

a. Rape or attempted rape - Total number of recorded incidents

# OF RAPES REPORTED TO POLICEQ17A2

342-342(width: 1; decimal: 0)Location:

numericVariable Type:

17. Please provide the number of incidents your school recorded during the 2003-2004 school year for the offenses listed below. Please provide information on:

Question:

a. Rape or attempted rape - Number reported to police or other law enforcement

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# OF SEXUAL BATTERY OTHER THAN RAPE---TOTALQ17B1

343-344(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

b. Sexual battery other than rape (include threatened rape) Total number of recorded incidents

# OF SEXUAL BATTERY OTHER THAN RAPE REPORTED TO POLICEQ17B2

345-346(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

b. Sexual battery other than rape (include threatened rape) Number reported to police or other law enforcement

# OF ROBBERIES WITH WEAPON---TOTALQ17C1_1

347-348(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

c. Robbery (taking things by force)

i. With a weapon Total number of recorded incidents

# OF ROBBERIES WITH WEAPON REPORTED TO POLICEQ17C1_2

349-350(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

c. Robbery (taking things by force)

i. With a weapon Number reported to police or other law enforcement

# OF INCIDENTS OF ROBBERY WITHOUT WEAPON---TOTALQ17C2_1

351-352(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

c. Robbery (taking things by force)

ii. Without a weapon Total number of recorded incidents

# OF ROBBERY WITHOUT WEAPON REPORTED TO POLICEQ17C2_2

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353-354(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

c. Robbery (taking things by force)

ii. Without a weapon Number reported to police or other law enforcement

# OF ATTACKS WITH WEAPON---TOTALQ17D1_1

355-356(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

d. Physical attack or fight

i. With a weapon Total number of recorded incidents

# OF ATTACKS WITH WEAPON REPORTED TO POLICEQ17D1_2

357-358(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

d. Physical attack or fight

i. With a weapon Number reported to police or other law enforcement

# OF ATTACKS WITHOUT WEAPON---TOTALQ17D2_1

359-361(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

d. Physical attack or fight

ii. Without a weapon Total number of recorded incidents

# OF ATTACKS WITHOUT WEAPON REPORTED TO POLICEQ17D2_2

362-364(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

d. Physical attack or fight

ii. Without a weapon Number reported to police or other law enforcement

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# OF THREATS OF ATTACK WITH WEAPON---TOTALQ17E1_1

365-366(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

e. Threats of physical attack

i. With a weapon Total number of recorded incidents

# OF THREATS OF ATTACK WITH WEAPON REPORTED TO POLICEQ17E1_2

367-368(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

e. Threats of physical attack

i. With a weapon Number reported to police or other law enforcement

# OF THREATS OF ATTACK WITHOUT WEAPON---TOTALQ17E2_1

369-372(width: 4; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

e. Threats of physical attack

ii. Without a weapon Total number of recorded incidents

# OF THREATS OF ATTACK WITHOUT WEAPON REPORTED TO POLICEQ17E2_2

373-375(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

e. Threats of physical attack

ii. Without a weapon Number reported to police or other law enforcement

# OF INCIDENTS THEFT/LARCENY---TOTALQ17F1

376-378(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

f. Theft/larceny (taking things worth over $10 without personal confrontation) Total number of recorded incidents

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# OF INCIDENTS THEFT/LARCENY REPORTED TO POLICEQ17F2

379-381(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

f. Theft/larceny (taking things worth over $10 without personal confrontation) Number reported to police or other law enforcement

# OF POSSESSION OF FIREARMS---TOTALQ17G1

382-383(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

g. Possession of a firearm/explosive device Total number of recorded incidents

# OF POSSESSION OF FIREARMS REPORTED TO POLICEQ17G2

384-385(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

g. Possession of a firearm/explosive device Number reported to police or other law enforcement

# OF POSSESSION KNIFE/SHARP OBJECT---TOTALQ17H1

386-387(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

h. Possession of a knife or sharp object with intent to harm Total number of recorded incidents

# OF POSSESSION KNIFE/SHARP OBJECT REPORTED TO POLICEQ17H2

388-389(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

h. Possession of a knife or sharp object with intent to harm Number reported to police or other law enforcement

# OF DISTRIBUTION OF DRUGS---TOTALQ17I1

390-391(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

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i. Distribution of illegal drugs Total number of recorded incidents

# OF DISTRIBUTION OF DRUGS REPORTED TO POLICEQ17I2

392-393(width: 2; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

i. Distribution of illegal drugs Number reported to police or other law enforcement

# OF POSSESSION OR USE OF ALCOHOL---TOTALQ17J1

394-396(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

j. Possession or use of alcohol or illegal drugs Total number of recorded incidents

# OF POSSESSION OR USE OF ALCOHOL REPORTED TO POLICEQ17J2

397-399(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

j. Possession or use of alcohol or illegal drugs Number reported to police or other law enforcement

# OF INCIDENTS OF VANDALISM---TOTALQ17K1

400-402(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

k. Vandalism Total number of recorded incidents

# OF INCIDENT OF VANDALISM REPORTED TO POLICEQ17K2

403-405(width: 3; decimal: 0)Location:

numericVariable Type:

17. Please record the number of incidents that occurred at school during the 2003-2004 school year for the offenses listed below.

Question:

k. Vandalism Number reported to police or other law enforcement

# OF HATE CRIMESQ18A

406-408(width: 3; decimal: 0)Location:

numericVariable Type:

17. During the 2003-04 school year, how many of the following incidents occurred?Question:

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a. Hate crime

# OF GANG-RELATED CRIMESQ18B

409-411(width: 3; decimal: 0)Location:

numericVariable Type:

17. During the 2003-04 school year, how many of the following incidents occurred?Question:

b. Gang related crime

# OF TIMES SCHOOL DISRUPTED (E.G., BOMB, CHEMICAL, RADIOLOGICAL, DEATH THREATS)

Q19

412-413(width: 2; decimal: 0)Location:

numericVariable Type:

19. How many times during the 2003-2004 school year were activities disrupted by actions such as death threats, bomb threats, or chemical, biological, or radiological threats? Exclude all fire alarms from your response, including false fire alarms. (If no such incident occurred, please record zero [0].)

Question:

HOW OFTEN STUDENT RACIAL TENSIONSQ20A

414-414(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

a. Student racial tensions

Q20A: HOW OFTEN STUDENT RACIAL TENSIONS

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT BULLYING OCCURSQ20B

415-415(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

b. Student bullying

Q20B: HOW OFTEN STUDENT BULLYING OCCURS

LabelValue

Happens daily1

At least once a week2

At least once a month3

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Q20B: HOW OFTEN STUDENT BULLYING OCCURS

LabelValue

Happens on occasion4

Never happens5

HOW OFTEN STUDENT SEXUAL HARASSMENT OF STUDENTQ20C

416-416(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

c. Student sexual harassment of other students

Q20C: HOW OFTEN STUDENT SEXUAL HARASSMENT OF STUDENT

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT VERBAL ABUSE OF TEACHERSQ20D

417-417(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

d. Student verbal abuse of teachers

Q20D: HOW OFTEN STUDENT VERBAL ABUSE OF TEACHERS

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT DISORDER IN CLASSROOMSQ20E

418-418(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

e. Widespread disorder in classrooms

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Q20E: HOW OFTEN STUDENT DISORDER IN CLASSROOMS

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT ACTS OF DISRESPECTQ20F

419-419(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

f. Student acts of disrespect for teachers

Q20F: HOW OFTEN STUDENT ACTS OF DISRESPECT

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT GANG ACTIVITIESQ20G

420-420(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

g. Gang activities

Q20G: HOW OFTEN STUDENT GANG ACTIVITIES

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

HOW OFTEN STUDENT CULT OR EXTREMIST ACTIVITIESQ20H

421-421(width: 1; decimal: 0)Location:

numericVariable Type:

20. To the best of your knowledge, how often did the following types of problems occur at your school?

Question:

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h. Cult or extremist group activities

Q20H: HOW OFTEN STUDENT CULT OR EXTREMIST ACTIVITIES

LabelValue

Happens daily1

At least once a week2

At least once a month3

Happens on occasion4

Never happens5

REMOVAL WITH NO SERVICES AVAILABLEQ21A1

422-423(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

a. Removal with no continuing school services for at least the remainder of the school year

Q21A1: REMOVAL WITH NO SERVICES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

REMOVAL WITH NO SERVICES---ACTION USEDQ21A2

424-425(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

a. Removal with no continuing school services for at least the remainder of the school year

Q21A2: REMOVAL WITH NO SERVICES---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

REMOVAL WITH TUTORING/AT-HOME INSTRUCTION AVAILABLEQ21B1

426-427(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

b. Removal with school-provided tutoring/at-home instruction for at least the remainder of the school year

Q21B1: REMOVAL WITH TUTORING/AT-HOME INSTRUCTION AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

REMOVAL WITH TUTORING/AT-HOME INSTRUCTION---ACTION USEDQ21B2

428-429(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

b. Removal with school-provided tutoring/at-home instruction for at least the remainder of the school year

Q21B2: REMOVAL WITH TUTORING/AT-HOME INSTRUCTION---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

TRANSFER TO SPECIALIZED SCHOOL AVAILABLEQ21C1

430-431(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

c. Transfer to a specialized school for disciplinary reasons

Q21C1: TRANSFER TO SPECIALIZED SCHOOL AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

TRANSFER TO SPECIALIZED SCHOOL AVAILABLE---ACTION USEDQ21C2

432-433(width: 2; decimal: 0)Location:

numericVariable Type:

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-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

c. Transfer to a specialized school for disciplinary reasons

Q21C2: TRANSFER TO SPECIALIZED SCHOOL AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

TRANSFER TO REGULAR SCHOOL AVAILABLEQ21D1

434-435(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

d. Transfer to another regular school for disciplinary reasons

Q21D1: TRANSFER TO REGULAR SCHOOL AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

TRANSFER TO REGULAR SCHOOL AVAILABLE---ACTION USEDQ21D2

436-437(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

d. Transfer to another regular school for disciplinary reasons

Q21D2: TRANSFER TO REGULAR SCHOOL AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SUSPENSION/NO SERVICES AVAILABLEQ21E1

438-439(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

e. Out-of-school suspension or removal for less than the remainder of the school year with no curriculum/services provided

Q21E1: OUTSIDE SUSPENSION/NO SERVICES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SUSPENSION/NO SERVICES AVAILABLE---ACTION USEDQ21E2

440-441(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

e. Out-of-school suspension or removal for less than the remainder of the school year with no curriculum/services provided

Q21E2: OUTSIDE SUSPENSION/NO SERVICES AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SUSPENSION WITH SERVICES AVAILABLEQ21F1

442-443(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

f. Out-of-school suspension or removal for less than the remainder of the school year with curriculum/services provided

Q21F1: OUTSIDE SUSPENSION WITH SERVICES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SUSPENSION WITH SERVICES AVAILABLE---ACTION USEDQ21F2

444-445(width: 2; decimal: 0)Location:

numericVariable Type:

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-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

f. Out-of-school suspension or removal for less than the remainder of the school year with curriculum/services provided

Q21F2: OUTSIDE SUSPENSION WITH SERVICES AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLEQ21G1

446-447(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

g. In-school suspension for less than the remainder of the school year with no curriculum/services provided

Q21G1: IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLE---ACTION USEDQ21G2

448-449(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

g. In-school suspension for less than the remainder of the school year with no curriculum/services provided

Q21G2: IN-SCHOOL SUSPENSION/NO SERVICES AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL SUSPENSION WITH SERVICES AVAILABLEQ21H1

450-451(width: 2; decimal: 0)Location:

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numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

h. In-school suspension for less than the remainder of the school year with curriculum/services provided

Q21H1: IN-SCHOOL SUSPENSION WITH SERVICES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL SUSPENSION WITH SERVICES AVAILABLE---ACTION USEDQ21H2

452-453(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

h. In-school suspension for less than the remainder of the school year with curriculum/services provided

Q21H2: IN-SCHOOL SUSPENSION WITH SERVICES AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

REFERRAL TO SCHOOL COUNSELOR AVAILABLEQ21I1

454-455(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

i. Referral to a school counselor

Q21I1: REFERRAL TO SCHOOL COUNSELOR AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

REFERRAL TO SCHOOL COUNSELOR AVAILABLE---ACTION USEDQ21I2

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456-457(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

i. Referral to a school counselor

Q21I2: REFERRAL TO SCHOOL COUNSELOR AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL DISCIPLINARY PLAN AVAILABLEQ21J1

458-459(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

j. Assigned to program designed to reduce disciplinary problems during school hours

Q21J1: IN-SCHOOL DISCIPLINARY PLAN AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

IN-SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USEDQ21J2

460-461(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

j. Assigned to program designed to reduce disciplinary problems during school hours

Q21J2: IN-SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLEQ21K1

462-463(width: 2; decimal: 0)Location:

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numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

k. Assigned to program designed to reduce disciplinary problems outside of school hours

Q21K1: OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USEDQ21K2

464-465(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

k. Assigned to program designed to reduce disciplinary problems outside of school hours

Q21K2: OUTSIDE SCHOOL DISCIPLINARY PLAN AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

KEEP OFF BUS FOR MISBEHAVIOR AVAILABLEQ21L1

466-467(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

l. Kept off school bus due to misbehavior

Q21L1: KEEP OFF BUS FOR MISBEHAVIOR AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

KEEP OFF BUS FOR MISBEHAVIOR AVAILABLE---ACTION USEDQ21L2

468-469(width: 2; decimal: 0)Location:

numericVariable Type:

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-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

l. Kept off school bus due to misbehavior

Q21L2: KEEP OFF BUS FOR MISBEHAVIOR AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

CORPORAL PUNISHMENT AVAILABLEQ21M1

470-471(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

m. Corporal punishment

Q21M1: CORPORAL PUNISHMENT AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

CORPORAL PUNISHMENT AVAILABLE---ACTION USEDQ21M2

472-473(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

m. Corporal punishment

Q21M2: CORPORAL PUNISHMENT AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

SCHOOL PROBATION AVAILABLEQ21N1

474-475(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

n. Put on school probation with threatened consequences if another incident occurs

Q21N1: SCHOOL PROBATION AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

SCHOOL PROBATION AVAILABLE---ACTION USEDQ21N2

476-477(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

n. Put on school probation with threatened consequences if another incident occurs

Q21N2: SCHOOL PROBATION AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

DETENTION/SATURDAY SCHOOL AVAILABLEQ21O1

478-479(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

o. Detention and/or Saturday school

Q21O1: DETENTION/SATURDAY SCHOOL AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

DETENTION/SATURDAY SCHOOL AVAILABLE---ACTION USEDQ21O2

480-481(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

o. Detention and/or Saturday school

Q21O2: DETENTION/SATURDAY SCHOOL AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

LOSS OF STUDENT PRIVILEGES AVAILABLEQ21P1

482-483(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

p. Loss of student privileges

Q21P1: LOSS OF STUDENT PRIVILEGES AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

LOSS OF STUDENT PRIVILEGES AVAILABLE---ACTION USEDQ21P2

484-485(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

p. Loss of student privileges

Q21P2: LOSS OF STUDENT PRIVILEGES AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE COMMUNITY SERVICE AVAILABLEQ21Q1

486-487(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

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21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

q. Requirement of participation in community service

Q21Q1: REQUIRE COMMUNITY SERVICE AVAILABLE

LabelValue

Yes1

No2

Question was skipped-1 (M)

REQUIRE COMMUNITY SERVICE AVAILABLE---ACTION USEDQ21Q2

488-489(width: 2; decimal: 0)Location:

numericVariable Type:

-1Range of Missing Values (M):

21. During the 2003-2004 school year, did your school allow for the use of the following disciplinary actions? If yes, were the actions used this school year?

Question:

q. Requirement of participation in community service

Q21Q2: REQUIRE COMMUNITY SERVICE AVAILABLE---ACTION USED

LabelValue

Yes1

No2

Question was skipped-1 (M)

STUDENT USE/POSSESSION FIREARM/EXPLOSIVE DEVICE---TOTALQ22A1

490-492(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

Please follow these guidelines when determining the number of offenses and disciplinary actions:

If more than one student was involved in an incident, please count each student separately when providing the number of disciplinary actions.

If a student was disciplined more than once, please count each offense separately (e.g., a student who was suspended five times would be counted as five suspensions). However, if a student was disciplined in two different ways for a single infraction (e.g., the student was both suspended and referred to counseling), count only the most severe disciplinary action that was taken.

a. Use/possession of a firearm/ explosive device

1. Total students involved in recorded offenses (regardless of disciplinary action)

# OF REMOVALS FOR FIREARM USE/POSSESSIONQ22A2

493-493(width: 1; decimal: 0)Location:

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numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

a. Use/possession of a firearm/ explosive device

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR FIREARM USE/POSSESSIONQ22A3

494-494(width: 1; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

a. Use/possession of a firearm/ explosive device

3. Transfers to specialized schools for disciplinary reasons

# OF SUSPENSIONS FOR FIREARM USE/POSSESSIONQ22A4

495-497(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

a. Use/possession of a firearm/ explosive device

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR FIREARM USE/POSSESSIONQ22A5

498-500(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

a. Use/possession of a firearm/ explosive device

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

STUDENT USE/POSSESSION WEAPON (OTHER THAN FIREARM)---TOTALQ22B1

501-502(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

b. Use/possession of a weapon other than a firearm

1. Total students involved in recorded offenses (regardless of disciplinary action)

# OF REMOVALS FOR WEAPON USEQ22B2

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503-504(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

b. Use/possession of a weapon other than a firearm

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR WEAPON USEQ22B3

505-506(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

b. Use/possession of a weapon other than a firearm

3. Transfers to specialized schools for discliplinary reasons

# OF SUSPENSIONS FOR WEAPON USEQ22B4

507-508(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

b. Use/possession of a weapon other than a firearm

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR WEAPON USEQ22B5

509-510(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

b. Use/possession of a weapon other than a firearm

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

# OF DISTRIBUTION/POSSESSION/USE ILLEGAL DRUGS---TOTALQ22C1

511-513(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

c. Distribution, possession, or use of illegal drugs

1. Total students involved in recorded offenses (regardless of disciplinary action)

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# OF REMOVALS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGSQ22C2

514-515(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

c. Distribution, possession, or use of illegal drugs

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGSQ22C3

516-518(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

c. Distribution, possession, or use of illegal drugs

3. Transfers to specialized schools for disciplinary reasons

# OF SUSPENSIONS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGSQ22C4

519-521(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

c. Distribution, possession, or use of illegal drugs

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR DISTRIBUTION/POSSESSION/USE---ILLEGAL DRUGSQ22C5

522-524(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

c. Distribution, possession, or use of illegal drugs

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

# OF DISTRIBUTION/POSSESSION/USE ALCOHOL---TOTALQ22D1

525-526(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

d. Distribution, possession, or use of alcohol

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1. Total students involved in recorded offenses (regardless of disciplinary action)

# OF REMOVALS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOLQ22D2

527-528(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

d. Distribution, possession, or use of alcohol

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOLQ22D3

529-530(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

d. Distribution, possession, or use of alcohol

3. Transfers to specialized schools for disciplinary reasons

# OF SUSPENSIONS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOLQ22D4

531-532(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

d. Distribution, possession, or use of alcohol

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR DISTRIBUTION/POSSESSION/USE---ALCOHOLQ22D5

533-534(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

d. Distribution, possession, or use of alcohol

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

ATTACKS/FIGHTS---TOTALQ22E1

535-537(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

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e. Physical attacks or fights

1. Total students involved in recorded offenses (regardless of disciplinary action)

# OF REMOVALS FOR ATTACKS/FIGHTSQ22E2

538-539(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

e. Physical attacks or fights

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR ATTACKS/FIGHTSQ22E3

540-542(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

e. Physical attacks or fights

3. Transfers to specialized schools for disciplinary reasons

# OF SUSPENSIONS FOR ATTACKS/FIGHTSQ22E4

543-545(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

e. Physical attacks or fights

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR ATTACKS/FIGHTSQ22E5

546-548(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

e. Physical attacks or fights

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

INSUBORDINATION---TOTALQ22F1

549-552(width: 4; decimal: 0)Location:

numericVariable Type:

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22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

f. Insubordination

1. Total students involved in recorded offenses (regardless of disciplinary action)

# OF REMOVALS FOR INSUBORDINATIONQ22F2

553-554(width: 2; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

f. Insubordination

2. Removals with no continuing school services for at least the remainder of the school year

# OF TRANSFERS FOR INSUBORDINATIONQ22F3

555-557(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

f. Insubordination

3. Transfers to specialized schools for disciplinary reasons

# OF SUSPENSIONS FOR INSUBORDINATIONQ22F4

558-560(width: 3; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

f. Insubordination

4. Out-of-school suspensions lasting 5 or more days, but less than the remainder of the school year

# OF OTHER ACTIONS FOR INSUBORDINATIONQ22F5

561-564(width: 4; decimal: 0)Location:

numericVariable Type:

22. During the 2003-2004 school year, how many students were involved in committing the following offenses, and how many of the following disciplinary actions were taken in response?

Question:

f. Insubordination

5. Other disciplinary action (e.g., suspension for less than 5 days, detention, etc.)

# OF REMOVALS WITH NO SERVICE---TOTALQ23A

565-567(width: 3; decimal: 0)Location:

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numericVariable Type:

23. During the 2003-2004 school year, how many students were removed from your school without continuing services for at least the remainder of the school year or transferred to a specialized school for disciplinary reasons?

Question:

a. Total removals with no continuing services for at least the remainder of the school year?

# OF TRANSFERS TO SPECIALIZED SCHOOLS---TOTALQ23B

568-570(width: 3; decimal: 0)Location:

numericVariable Type:

Question:

b. Total transfers to specialized schools for disciplinary reasons?

PERCENT STUDENTS LIMITED ENGLISH PROFICIENTQ25B

571-573(width: 3; decimal: 0)Location:

numericVariable Type:

25. What percentage of your current students fit the following criteria?Question:

Limited English Proficient (LEP)

PERCENT SPECIAL-EDUCATION STUDENTSQ25C

574-576(width: 3; decimal: 0)Location:

numericVariable Type:

25. What percentage of your current students fit the following criteria?Question:

Special education students

PERCENT STUDENTS BELOW 15TH PERCENTILE STANDARDIZED TESTSQ26A

577-578(width: 2; decimal: 0)Location:

numericVariable Type:

26. What is your best estimate of the percentage of your current students who are the following?Question:

a. Below the 15th percentile on standardized tests

PERCENT STUDENTS LIKELY TO GO TO COLLEGEQ26B

579-581(width: 3; decimal: 0)Location:

numericVariable Type:

26. What is your best estimate of the percentage of your current students who are the following?Question:

b. Likely to go to college after high school

PERCENT STUDENTS ACADEMIC ACHIEVEMENT IMPORTANTQ26C

582-584(width: 3; decimal: 0)Location:

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numericVariable Type:

26. What is your best estimate of the percentage of your current students who are the following?Question:

c. Consider academic achievement to be very important

TYPICAL NUMBER OF CLASSROOM CHANGESQ27

585-586(width: 2; decimal: 0)Location:

numericVariable Type:

27. How many classroom changes do most students make in a typical day?Question:

Count going to lunch and then returning to the same or a different classroom as two classroom changes. Do not count morning arrival or afternoon departure.

# OF PAID FULL-TIME SPECIAL-ED TEACHERQ28A1

587-588(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

a. Special education teachers - Number of full-time

# OF PAID PART-TIME SPECIAL-ED TEACHERQ28A2

589-590(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

a. Special education teachers - Number of part-time

# OF PAID FULL-TIME SPECIAL-ED AIDESQ28B1

591-592(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

a. Special education aides - Number of full-time

# OF PAID PART-TIME SPECIAL-ED AIDESQ28B2

593-594(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

a. Special education aides - Number of part-time

# OF PAID FULL-TIME COUNSELORSQ28E1

595-596(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

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e. Counselors/mental health professionals - Number of full-time

# OF PAID PART-TIME COUNSELORSQ28E2

597-598(width: 2; decimal: 0)Location:

numericVariable Type:

28. How many paid staff are at your school in the following categories?Question:

e. Counselors/mental health professionals - Number of part-time

CRIME WHERE STUDENTS LIVEQ29

599-599(width: 1; decimal: 0)Location:

numericVariable Type:

29. How would you describe the crime level in the area(s) in which your students live?Question:

Q29: CRIME WHERE STUDENTS LIVE

LabelValue

High level of crime1

Moderate level of crime2

Low level of crime3

Students come from areas with very different levels of crime4

CRIME WHERE SCHOOL LOCATEDQ30

600-600(width: 1; decimal: 0)Location:

numericVariable Type:

30. How would you describe the crime level in the area where your school is located?Question:

Q30: CRIME WHERE SCHOOL LOCATED

LabelValue

High level of crime1

Moderate level of crime2

Low level of crime3

Students come from areas with very different levels of crime4

AVERAGE PERCENT DAILY ATTENDANCEQ32

601-603(width: 3; decimal: 0)Location:

numericVariable Type:

32. What is your school's average daily attendance?Question:

# OF STUDENTS TRANSFERRED TO SCHOOLQ33A

604-607(width: 4; decimal: 0)Location:

numericVariable Type:

33. During the 2003-2004 school year, how many students transferred to or from your school after the school year had started? Please report on the total mobility, not just transfers due to disciplinary

Question:

actions. (If a student transferred more than once in the school year, count each transfer separately. If no transfers, please record zero [0].)

a. Transferred to the school

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# OF STUDENTS TRANSFERRED FROM SCHOOLQ33B

608-611(width: 4; decimal: 0)Location:

numericVariable Type:

Question:

actions. (If a student transferred more than once in the school year, count each transfer separately. If no transfers, please record zero [0].)

a. Transferred from the school

DATE QUESTIONNAIRE COMPLETEDQ34C_DD

612-613(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

34. Please provide the following datesQuestion:

c. Date you completed the questionnaire

Q34C_DD: DATE QUESTIONNAIRE COMPLETED

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

MONTH QUESTIONNAIRE COMPLETEDQ34C_MM

614-615(width: 2; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

34. Please provide the following datesQuestion:

c. Date you completed the questionnaire - Month

Q34C_MM: MONTH QUESTIONNAIRE COMPLETED

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

YEAR QUESTIONNAIRE COMPLETEDQ34C_YY

616-619(width: 4; decimal: 0)Location:

numericVariable Type:

-9, -8, -7, -1Range of Missing Values (M):

34. Please provide the following datesQuestion:

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c. Date you completed the questionnaire - Year

Q34C_YY: YEAR QUESTIONNAIRE COMPLETED

LabelValue

Missing-9 (M)

Don't Know-8 (M)

Refused-7 (M)

Question was skipped-1 (M)

NUMBER OF TYPES OF CRISES COVERED IN WRITTEN PLANSCRISIS04

620-620(width: 1; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF DISCIPLINARY ACTIONS RECORDEDDISTOT04

621-624(width: 4; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF INCIDENTS RECORDEDINCID04

625-628(width: 4; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF INCIDENTS REPORTED TO POLICEINCPOL04

629-631(width: 3; decimal: 0)Location:

numericVariable Type:

TOTAL 'OTHER ACTIONS' FOR SPECIFIED OFFENSESOTHACT04

632-635(width: 4; decimal: 0)Location:

numericVariable Type:

TOTAL OSS > 5 DAYS BUT < THE REMAINDER OF SCHOOL FOR SPECIFIED OFFENSESOUTSUS04

636-638(width: 3; decimal: 0)Location:

numericVariable Type:

NUMBER OF TYPES OF PROBLEMS THAT OCCUR AT LEAST ONCE A WEEKPROBWK04

639-639(width: 1; decimal: 0)Location:

numericVariable Type:

TOTAL REMOVALS WITH NO CONTINUING SCHOOL SERVICES FOR SPECIFIED OFFENSESREMOVL04

640-641(width: 2; decimal: 0)Location:

numericVariable Type:

NESTING VARIABLESTRATA64

642-644(width: 3; decimal: 0)Location:

numericVariable Type:

STRATA64: NESTING VARIABLE

LabelValue

<300, Primary, City111

<300, Primary, Urban fringe112

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STRATA64: NESTING VARIABLE

LabelValue

<300, Primary, Town113

<300, Primary, Rural114

<300, Middle, City121

<300, Middle, Urban fringe122

<300, Middle, Town123

<300, Middle, Rural124

<300, High School, City131

<300, High School, Urban fringe132

<300, High School, Town133

<300, High School, Rural134

<300, Combined, City141

<300, Combined, Urban fringe142

<300, Combined, Town143

<300, Combined, Rural144

300-499, Primary, City211

300-499, Primary, Urban fringe212

300-499, Primary, Town213

300-499, Primary, Rural214

300-499, Middle, City221

300-499, Middle, Urban fringe222

300-499, Middle, Town223

300-499, Middle, Rural224

300-499, High School, City231

300-499, High School, Urban fringe232

300-499, High School, Town233

300-499, High School, Rural234

300-499, Combined, City241

300-499, Combined, Urban fringe242

300-499, Combined, Town243

300-499, Combined, Rural244

500-999, Primary, City311

500-999, Primary, Urban fringe312

500-999, Primary, Town313

500-999, Primary, Rural314

500-999, Middle, City321

500-999, Middle, Urban fringe322

500-999, Middle, Town323

500-999, Middle, Rural324

500-999, High School, City331

500-999, High School, Urban fringe332

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STRATA64: NESTING VARIABLE

LabelValue

500-999, High School, Town333

500-999, High School, Rural334

500-999, Combined, City341

500-999, Combined, Urban fringe342

500-999, Combined, Town343

500-999, Combined, Rural344

1,000+, Primary, City411

1,000+, Primary, Urban fringe412

1,000+, Primary, Town413

1,000+, Primary, Rural414

1,000+, Middle, City421

1,000+, Middle, Urban fringe422

1,000+, Middle, Town423

1,000+, Middle, Rural424

1,000+, High School, City431

1,000+, High School, Urban fringe432

1,000+, High School, Town433

1,000+, High School, Rural434

1,000+, Combined, City441

1,000+, Combined, Urban fringe442

1,000+, Combined, Town443

1,000+, Combined Rural444

TOTAL STUDENTS INVOLVED IN SPECIFIED OFFENSESSTUOFF04

645-648(width: 4; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF SERIOUS VIOLENT INCIDENTS RECORDEDSVINC04

649-650(width: 2; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF SERIOUS VIOLENT INCIDENTS REPORTED TO POLICESVPOL04

651-652(width: 2; decimal: 0)Location:

numericVariable Type:

TOTAL TRANSFERS TO SPECIALIZED SCHOOLS FOR SPECIFIED OFFENSESTRANSF04

653-655(width: 3; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF VIOLENT INCIDENTS RECORDEDVIOINC04

656-659(width: 4; decimal: 0)Location:

numericVariable Type:

TOTAL NUMBER OF VIOLENT INCIDENTS REPORTED TO POLICEVIOPOL04

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660-662(width: 3; decimal: 0)Location:

numericVariable Type:

RECODED % MINORITY STUDENT ENROLLMENTIN SCHOOL---BASEDON 03-04 SASS FRAME VARIABLE (SCHOOL)

FR_CATMN

663-664(width: 2; decimal: 0)Location:

numericVariable Type:

-8Range of Missing Values (M):

FR_CATMN: RECODED % MINORITY STUDENT ENROLLMENT IN SCHOOL---BASED ON 03-04 SASS FRAME VARIABLE (SCHOOL)

LabelValue

Less than 5 percent1

5 to 20 percent2

20 to 50 percent3

50 percent or more4

Missing-8 (M)

URBANICITY---FROM 03-04 SASS FRAME VARIABLE (SCHOOL)FR_LOC4

665-665(width: 1; decimal: 0)Location:

numericVariable Type:

FR_LOC4: URBANICITY---FROM 03-04 SASS FRAME VARIABLE (SCHOOL)

LabelValue

City1

Urban Fringe2

Town3

Rural4

SCHOOL GRADES OFFERED---BASED ON 03-04 SASS FRAME VARIABLES (SCHOOL)FR_LVEL

666-666(width: 1; decimal: 0)Location:

numericVariable Type:

FR_LVEL: SCHOOL GRADES OFFERED---BASEDON 03-04 SASS FRAME VARIABLES (SCHOOL)

LabelValue

Elementary1

Middle2

Secondary3

Combined4

SCHOOL SIZE CATEGORIES---FROM 03-04 SASS FRAME (SCHOOL)FR_SIZE

667-667(width: 1; decimal: 0)Location:

numericVariable Type:

FINAL WEIGHT FOR THE SAMPLEFINALWGT

668-675(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 1REPWGT1

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676-683(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 2REPWGT2

684-691(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 3REPWGT3

692-699(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 4REPWGT4

700-707(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 5REPWGT5

708-715(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 6REPWGT6

716-723(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 7REPWGT7

724-731(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 8REPWGT8

732-739(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 9REPWGT9

740-747(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 10REPWGT10

748-755(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 11REPWGT11

756-763(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 12REPWGT12

764-771(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 13REPWGT13

772-779(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 14REPWGT14

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780-787(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 15REPWGT15

788-795(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 16REPWGT16

796-803(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 17REPWGT17

804-811(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 18REPWGT18

812-819(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 19REPWGT19

820-827(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 20REPWGT20

828-835(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 21REPWGT21

836-843(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 22REPWGT22

844-851(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 23REPWGT23

852-859(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 24REPWGT24

860-867(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 25REPWGT25

868-875(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 26REPWGT26

876-883(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 27REPWGT27

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884-891(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 28REPWGT28

892-899(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 29REPWGT29

900-907(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 30REPWGT30

908-915(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 31REPWGT31

916-923(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 32REPWGT32

924-931(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 33REPWGT33

932-939(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 34REPWGT34

940-947(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 35REPWGT35

948-955(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 36REPWGT36

956-963(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 37REPWGT37

964-971(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 38REPWGT38

972-979(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 39REPWGT39

980-987(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 40REPWGT40

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988-995(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 41REPWGT41

996-1003(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 42REPWGT42

1004-1011(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 43REPWGT43

1012-1019(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 44REPWGT44

1020-1027(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 45REPWGT45

1028-1035(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 46REPWGT46

1036-1043(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 47REPWGT47

1044-1051(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 48REPWGT48

1052-1059(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 49REPWGT49

1060-1067(width: 8; decimal: 4)Location:

numericVariable Type:

JACKKNIFE REPLICATE 50REPWGT50

1068-1075(width: 8; decimal: 4)Location:

numericVariable Type:

"IMPUTATION FLAG"IQ1A

1076-1077(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1A: "IMPUTATION FLAG"

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

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IQ1A: "IMPUTATION FLAG"

LabelValue

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1B

1078-1079(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

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IQ1B: IMPUTATION FLAG

LabelValue

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1C

1080-1081(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

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IQ1C: IMPUTATION FLAG

LabelValue

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1D

1082-1083(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

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IQ1D: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1E

1084-1085(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

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IQ1E: IMPUTATION FLAG

LabelValue

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1F

1086-1087(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1G

1088-1089(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ1G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1H

1090-1091(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1H: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ1H: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1I

1092-1093(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1I: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ1I: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1J

1094-1095(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1J: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ1J: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1K

1096-1097(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1K: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ1K: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1L

1098-1099(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1L: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1M

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1100-1101(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1M: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1N

1102-1103(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1N: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ1N: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1O

1104-1105(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1O: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ1O: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1P

1106-1107(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1P: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ1P: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1Q

1108-1109(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1Q: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ1Q: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1R

1110-1111(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1R: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ1S

1112-1113(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1S: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1T

1114-1115(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1T: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ1T: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1U

1116-1117(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1U: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ1U: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ1V

1118-1119(width: 2; decimal: 0)Location:

numericVariable Type:

IQ1V: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ1V: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2A1

1120-1121(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ2A1: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2A2

1122-1123(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ2A2: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2B1

1124-1125(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2B2

1126-1127(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ2B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2C1

1128-1129(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2C1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ2C1: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2C2

1130-1131(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2C2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ2C2: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2D1

1132-1133(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2D1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

- 119 -

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IQ2D1: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2D2

1134-1135(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2D2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ2D2: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2E1

1136-1137(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2E1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ2E2

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1138-1139(width: 2; decimal: 0)Location:

numericVariable Type:

IQ2E2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3A

1140-1141(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

- 122 -

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IQ3A: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3B

1142-1143(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

- 123 -

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IQ3B: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3C

1144-1145(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

- 124 -

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IQ3C: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3D

1146-1147(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ3D: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3E

1148-1149(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

- 126 -

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IMPUTATION FLAGIQ3F

1150-1151(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3G

1152-1153(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

- 127 -

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IQ3G: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ3H

1154-1155(width: 2; decimal: 0)Location:

numericVariable Type:

IQ3H: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

- 128 -

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IQ3H: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ4A

1156-1157(width: 2; decimal: 0)Location:

numericVariable Type:

IQ4A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ4A: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ4B

1158-1159(width: 2; decimal: 0)Location:

numericVariable Type:

IQ4B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ4B: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ4C

1160-1161(width: 2; decimal: 0)Location:

numericVariable Type:

IQ4C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ4C: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ5A

1162-1163(width: 2; decimal: 0)Location:

numericVariable Type:

IQ5A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ5B

1164-1165(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ5B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ5C

1166-1167(width: 2; decimal: 0)Location:

numericVariable Type:

IQ5C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ5C: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ5D

1168-1169(width: 2; decimal: 0)Location:

numericVariable Type:

IQ5D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ5D: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6A

1170-1171(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ6A: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6B

1172-1173(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ6B: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6C

1174-1175(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6D

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1176-1177(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6E

1178-1179(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ6E: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6F

1180-1181(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

- 139 -

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IQ6F: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6G

1182-1183(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ6G: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ6H

1184-1185(width: 2; decimal: 0)Location:

numericVariable Type:

IQ6H: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ6H: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ7

1186-1187(width: 2; decimal: 0)Location:

numericVariable Type:

IQ7: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

- 142 -

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IMPUTATION FLAGIQ8A

1188-1189(width: 2; decimal: 0)Location:

numericVariable Type:

IQ8A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ8B

1190-1191(width: 2; decimal: 0)Location:

numericVariable Type:

IQ8B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ8B: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ8C

1192-1193(width: 2; decimal: 0)Location:

numericVariable Type:

IQ8C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ8C: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ8D

1194-1195(width: 2; decimal: 0)Location:

numericVariable Type:

IQ8D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ8D: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ8E

1196-1197(width: 2; decimal: 0)Location:

numericVariable Type:

IQ8E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ8E: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9A1

1198-1199(width: 2; decimal: 0)Location:

numericVariable Type:

IQ9A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ9A1: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9A2

1200-1201(width: 2; decimal: 0)Location:

numericVariable Type:

IQ9A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9B1

1202-1203(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ9B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9B2

1204-1205(width: 2; decimal: 0)Location:

numericVariable Type:

IQ9B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ9B2: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9C1

1206-1207(width: 2; decimal: 0)Location:

numericVariable Type:

IQ9C1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ9C1: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ9C2

1208-1209(width: 2; decimal: 0)Location:

numericVariable Type:

IQ9C2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ9C2: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ10A

1210-1211(width: 2; decimal: 0)Location:

numericVariable Type:

IQ10A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ10A: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ10B

1212-1213(width: 2; decimal: 0)Location:

numericVariable Type:

IQ10B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11A

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1214-1215(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11B

1216-1217(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ11B: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11C

1218-1219(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

- 155 -

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IQ11C: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11D

1220-1221(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ11D: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11E

1222-1223(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ11E: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ11F

1224-1225(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ11G

1226-1227(width: 2; decimal: 0)Location:

numericVariable Type:

IQ11G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12A

1228-1229(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ12A: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12B

1230-1231(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ12B: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12C

1232-1233(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ12C: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12D

1234-1235(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ12D: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12E

1236-1237(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ12E: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ12F

1238-1239(width: 2; decimal: 0)Location:

numericVariable Type:

IQ12F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14A

1240-1241(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ14A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14B

1242-1243(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ14B: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14C

1244-1245(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ14C: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14D

1246-1247(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ14D: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14E

1248-1249(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ14E: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14F

1250-1251(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14G

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1252-1253(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14H

1254-1255(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14H: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ14H: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14I

1256-1257(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14I: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ14I: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14J

1258-1259(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14J: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ14J: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14K

1260-1261(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14K: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ14K: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ14L

1262-1263(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14L: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ14M

1264-1265(width: 2; decimal: 0)Location:

numericVariable Type:

IQ14M: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ15

1266-1267(width: 2; decimal: 0)Location:

numericVariable Type:

IQ15: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ15: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ16

1268-1269(width: 2; decimal: 0)Location:

numericVariable Type:

IQ16: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ16: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17A1

1270-1271(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ17A1: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17A2

1272-1273(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ17A2: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17B1

1274-1275(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ17B1: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17B2

1276-1277(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17C1_1

1278-1279(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ17C1_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17C1_2

1280-1281(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17C1_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ17C1_2: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17C2_1

1282-1283(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17C2_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ17C2_1: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17C2_2

1284-1285(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17C2_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

- 183 -

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IQ17C2_2: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17D1_1

1286-1287(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17D1_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ17D1_1: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17D1_2

1288-1289(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17D1_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17D2_1

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1290-1291(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17D2_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17D2_2

1292-1293(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17D2_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ17D2_2: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17E1_1

1294-1295(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17E1_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ17E1_1: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17E1_2

1296-1297(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17E1_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ17E1_2: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17E2_1

1298-1299(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17E2_1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ17E2_1: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17E2_2

1300-1301(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17E2_2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ17F1

1302-1303(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17F1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17F2

1304-1305(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17F2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ17F2: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17G1

1306-1307(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17G1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ17G1: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17G2

1308-1309(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17G2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ17G2: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17H1

1310-1311(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17H1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ17H1: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17H2

1312-1313(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17H2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ17H2: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17I1

1314-1315(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17I1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17I2

1316-1317(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ17I2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17J1

1318-1319(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17J1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ17J1: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17J2

1320-1321(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17J2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ17J2: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17K1

1322-1323(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17K1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ17K1: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ17K2

1324-1325(width: 2; decimal: 0)Location:

numericVariable Type:

IQ17K2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ17K2: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ18A

1326-1327(width: 2; decimal: 0)Location:

numericVariable Type:

IQ18A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ18B

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1328-1329(width: 2; decimal: 0)Location:

numericVariable Type:

IQ18B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ19

1330-1331(width: 2; decimal: 0)Location:

numericVariable Type:

IQ19: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ19: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20A

1332-1333(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ20A: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20B

1334-1335(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ20B: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20C

1336-1337(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ20C: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20D

1338-1339(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20D: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ20E

1340-1341(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20E: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20F

1342-1343(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20F: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ20F: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20G

1344-1345(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20G: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ20G: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ20H

1346-1347(width: 2; decimal: 0)Location:

numericVariable Type:

IQ20H: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ20H: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21A1

1348-1349(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ21A1: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21A2

1350-1351(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ21A2: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21B1

1352-1353(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21B2

1354-1355(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ21B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21C1

1356-1357(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21C1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ21C1: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21C2

1358-1359(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21C2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ21C2: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21D1

1360-1361(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21D1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ21D1: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21D2

1362-1363(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21D2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ21D2: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21E1

1364-1365(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21E1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21E2

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1366-1367(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21E2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21F1

1368-1369(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21F1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ21F1: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21F2

1370-1371(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21F2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ21F2: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21G1

1372-1373(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21G1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ21G1: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21G2

1374-1375(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21G2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ21G2: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21H1

1376-1377(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21H1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ21H2

1378-1379(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21H2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21I1

1380-1381(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21I1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ21I1: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21I2

1382-1383(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21I2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

- 224 -

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IQ21I2: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21J1

1384-1385(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21J1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ21J1: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21J2

1386-1387(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21J2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ21J2: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21K1

1388-1389(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21K1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ21K1: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21K2

1390-1391(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21K2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21L1

1392-1393(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ21L1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21L2

1394-1395(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21L2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ21L2: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21M1

1396-1397(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21M1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ21M1: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21M2

1398-1399(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21M2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ21M2: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21N1

1400-1401(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21N1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ21N1: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21N2

1402-1403(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21N2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21O1

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1404-1405(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21O1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21O2

1406-1407(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21O2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ21O2: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21P1

1408-1409(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21P1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

- 235 -

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IQ21P1: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21P2

1410-1411(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21P2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

- 236 -

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IQ21P2: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21Q1

1412-1413(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21Q1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

- 237 -

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IQ21Q1: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ21Q2

1414-1415(width: 2; decimal: 0)Location:

numericVariable Type:

IQ21Q2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ22A1

1416-1417(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22A2

1418-1419(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

- 239 -

- Study 25681 -

IQ22A2: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22A3

1420-1421(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22A3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

- 240 -

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IQ22A3: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22A4

1422-1423(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22A4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ22A4: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22A5

1424-1425(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22A5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ22A5: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22B1

1426-1427(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ22B1: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22B2

1428-1429(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22B3

1430-1431(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ22B3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22B4

1432-1433(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22B4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ22B4: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22B5

1434-1435(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22B5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ22B5: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22C1

1436-1437(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22C1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ22C1: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22C2

1438-1439(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22C2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ22C2: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22C3

1440-1441(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22C3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22C4

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1442-1443(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22C4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22C5

1444-1445(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22C5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ22C5: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22D1

1446-1447(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22D1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ22D1: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22D2

1448-1449(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22D2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ22D2: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22D3

1450-1451(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22D3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ22D3: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22D4

1452-1453(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22D4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ22D5

1454-1455(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22D5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22E1

1456-1457(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22E1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ22E1: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22E2

1458-1459(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22E2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ22E2: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22E3

1460-1461(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22E3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ22E3: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22E4

1462-1463(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22E4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ22E4: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22E5

1464-1465(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22E5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ22E5: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22F1

1466-1467(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22F1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22F2

1468-1469(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ22F2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22F3

1470-1471(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22F3: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ22F3: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22F4

1472-1473(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22F4: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ22F4: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ22F5

1474-1475(width: 2; decimal: 0)Location:

numericVariable Type:

IQ22F5: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ22F5: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ23A

1476-1477(width: 2; decimal: 0)Location:

numericVariable Type:

IQ23A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

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IQ23A: IMPUTATION FLAG

LabelValue

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ23B

1478-1479(width: 2; decimal: 0)Location:

numericVariable Type:

IQ23B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ25B

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1480-1481(width: 2; decimal: 0)Location:

numericVariable Type:

IQ25B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ25C

1482-1483(width: 2; decimal: 0)Location:

numericVariable Type:

IQ25C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

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IQ25C: IMPUTATION FLAG

LabelValue

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ26A

1484-1485(width: 2; decimal: 0)Location:

numericVariable Type:

IQ26A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

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IQ26A: IMPUTATION FLAG

LabelValue

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ26B

1486-1487(width: 2; decimal: 0)Location:

numericVariable Type:

IQ26B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

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IQ26B: IMPUTATION FLAG

LabelValue

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ26C

1488-1489(width: 2; decimal: 0)Location:

numericVariable Type:

IQ26C: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

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IQ26C: IMPUTATION FLAG

LabelValue

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ27

1490-1491(width: 2; decimal: 0)Location:

numericVariable Type:

IQ27: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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IMPUTATION FLAGIQ28A1

1492-1493(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28A1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ28A2

1494-1495(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28A2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

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IQ28A2: IMPUTATION FLAG

LabelValue

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ28B1

1496-1497(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28B1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

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IQ28B1: IMPUTATION FLAG

LabelValue

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ28B2

1498-1499(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28B2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

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IQ28B2: IMPUTATION FLAG

LabelValue

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ28E1

1500-1501(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28E1: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

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IQ28E1: IMPUTATION FLAG

LabelValue

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ28E2

1502-1503(width: 2; decimal: 0)Location:

numericVariable Type:

IQ28E2: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

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IQ28E2: IMPUTATION FLAG

LabelValue

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ29

1504-1505(width: 2; decimal: 0)Location:

numericVariable Type:

IQ29: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ30

1506-1507(width: 2; decimal: 0)Location:

numericVariable Type:

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IQ30: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ32

1508-1509(width: 2; decimal: 0)Location:

numericVariable Type:

IQ32: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

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IQ32: IMPUTATION FLAG

LabelValue

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ33A

1510-1511(width: 2; decimal: 0)Location:

numericVariable Type:

IQ33A: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

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IQ33A: IMPUTATION FLAG

LabelValue

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

IMPUTATION FLAGIQ33B

1512-1513(width: 2; decimal: 0)Location:

numericVariable Type:

IQ33B: IMPUTATION FLAG

LabelValue

Value not imputed0

Missing value imputed to 'zero'1

Missing value logically imputed to yes/no2

'No'/'yes' value logically imputed to = 'yes'/'no'3

Out of range value assumed to be count,used to impute a pct4

Miss val imputed use Best-Match procedure (perfect match)5

Miss val imputed use Best-Match procedure (relaxed criteria)6

Missing value imputed using data from the SASS Sample Frame7

Missing value imputed based on survey proportions8

Missing values are top-coded9

Zeroes imputed based on % observed in the donor class10

Values found using average ratio from 5 donors11

When Q22 col1 '1' and all oth cols missing, 1col impute to 112

Val imputed in order to maintain bal w/in Q22 & btw Q22/Q2313

Vals found by taking avg ratio from an entire imputation cls14

Original value was deleted and imputed based on imputed val15

Modal value imputed16

Missing value was imputed from an imputed value17

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IQ33B: IMPUTATION FLAG

LabelValue

Vals found by average values w/in an entire imputation class18

col1=1 and all oth cols miss/zero,1 col impute to 1/rem to 019

Values imputed from non-imputed Q22 col1 values20

Values imputed from non-imputed Q22 col2 - col5 values21

Val adj downward to maintain relationship between Q22/Q2322

Values imputed from at least one imputed Q22 value23

Values imputed from all existing Q22 values24

Values modified by nonimputed Q33 value25

Values imputed from imputed Q23b values26

Values imputed from existing Q23b values27

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School Survey on Crime and Safety: 2003–04

Public-Use Data File Codebook

U.S. Department of Education Institute of Education Sciences NCES 2007-333

School Survey on Crime and Safety: 2003–04

Public-Use Data File Codebook

December 2006

David Izrael Frederick A. deFriesse Abt Associates Inc.

Kathryn Chandler Project Officer National Center for Education Statistics

U.S. Department of Education Margaret Spellings Secretary

Institute of Education Sciences Grover J. Whitehurst Director

National Center for Education Statistics Mark Schneider Commissioner

The National Center for Education Statistics (NCES) is the primary federal entity for collecting, analyzing, and reporting data related to education in the United States and other nations. It fulfills a congressional mandate to collect, collate, analyze, and report full and complete statistics on the condition of education in the United States; conduct and publish reports and specialized analyses of the meaning and significance of such statistics; assist state and local education agencies in improving their statistical systems; and review and report on education activities in foreign countries.

NCES activities are designed to address high-priority education data needs; provide consistent, reliable, complete, and accurate indicators of education status and trends; and report timely, useful, and high- quality data to the U.S. Department of Education, the Congress, the states, other education policymakers, practitioners, data users, and the general public. Unless specifically noted, all information contained herein is in the public domain.

We strive to make our products available in a variety of formats and in language that is appropriate to a variety of audiences. You, as our customer, are the best judge of our success in communicating information effectively. If you have any comments or suggestions about this or any other NCES product or report, we would like to hear from you. Please direct your comments to

National Center for Education Statistics Institute of Education Sciences U.S. Department of Education 1990 K Street NW Washington, DC 20006-5651

December 2006

The NCES World Wide Web Home Page address is http://nces.ed.gov. The NCES World Wide Web Electronic Catalog is http://nces.ed.gov/pubsearch.

This publication is only available online. To download, view, and print the report as a PDF file, go to the NCES World Wide Web Electronic Catalog address shown above.

Suggested Citation

Izrael, D., and deFriesse, F.A. (2006). School Survey on Crime and Safety: 2003–04 Public-Use Data File Codebook (2007-333). U.S. Department of Education. Washington, DC: National Center for Education Statistics.

Content Contact Kathryn Chandler (202) 502-7486 [email protected]

SSOCS 2004 Codebook ABTIDABTIDABTIDABTID Temporary unique school identifierVariable Name:

Q_NUMYRSQ_NUMYRSQ_NUMYRSQ_NUMYRS Number of years respondent at the schoolVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2324

7.0

66205

6.7

MeanMeanMeanMean 7.3 6.8

Q_RESPQ_RESPQ_RESPQ_RESP Title/position of respondentVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

405-9 Not ascertained 14.6 13177.3 16.4

18261 Principal 65.9 56116.0 69.7

4292 Vice-principal or disciplinarian 15.5 7186.4 8.9

163 Counselor 0.6 588.1 0.7

244 Administrative or secretarial staff 0.9 740.7 0.9

95 Teacher or instructor 0.3 395.9 0.5

56 Safe Schools staff 0.2 55.6 0.1

187 Superintendent or district staff 0.6 1152.4 1.4

138 Security personnel 0.5 211.9 0.3

2795 Other 1.0 829.9 1.0

2772 80454.2100.0 100.0

Q_R_SPFYQ_R_SPFYQ_R_SPFYQ_R_SPFY Title/position of respondent - Other verbatim responsesVariable Name:

Page 1

SSOCS 2004 Codebook (continued)

Q1AQ1AQ1AQ1A School practice requires visitor check inVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27431 Yes 99.0 79087.0 98.3

292 No 1.0 1367.1 1.7

2772 80454.2100.0 100.0

Q1BQ1BQ1BQ1B Access controlled locked/monitored doorsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23041 Yes 83.1 66743.1 83.0

4682 No 16.9 13711.0 17.0

2772 80454.2100.0 100.0

Q1CQ1CQ1CQ1C Grounds have locked/monitored gatesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

10611 Yes 38.3 29111.3 36.2

17112 No 61.7 51342.8 63.8

2772 80454.2100.0 100.0

Q1DQ1DQ1DQ1D Students pass through metal detectorsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

621 Yes 2.2 855.8 1.1

27102 No 97.8 79598.3 98.9

2772 80454.2100.0 100.0

Q1EQ1EQ1EQ1E Visitors pass through metal detectorsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

491 Yes 1.8 746.9 0.9

27232 No 98.2 79707.3 99.1

2772 80454.2100.0 100.0

Q1FQ1FQ1FQ1F Have random metal detector checks on studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2631 Yes 9.5 4473.5 5.6

25092 No 90.5 75980.6 94.4

2772 80454.2100.0 100.0

Page 2

SSOCS 2004 Codebook (continued)

Q1GQ1GQ1GQ1G Practice to close campus for lunchVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

20471 Yes 73.8 53123.9 66.0

7252 No 26.2 27330.3 34.0

2772 80454.2100.0 100.0

Q1HQ1HQ1HQ1H Practice random dog sniffs for drugsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

10421 Yes 37.6 17117.2 21.3

17302 No 62.4 63336.9 78.7

2772 80454.2100.0 100.0

Q1IQ1IQ1IQ1I Random sweeps for contraband not including dog sniffsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

5581 Yes 20.1 10318.1 12.8

22142 No 79.9 70136.0 87.2

2772 80454.2100.0 100.0

Q1JQ1JQ1JQ1J Require drug testing for any studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2641 Yes 9.5 4258.3 5.3

25082 No 90.5 76195.8 94.7

2772 80454.2100.0 100.0

Q1KQ1KQ1KQ1K Require drug testing for athletesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1651 Yes 6.0 3392.7 4.2

26072 No 94.0 77061.4 95.8

2772 80454.2100.0 100.0

Q1LQ1LQ1LQ1L Require drug testing for students in extra-curricular

activities

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

911 Yes 3.3 2090.2 2.6

26812 No 96.7 78364.0 97.4

2772 80454.2100.0 100.0

Page 3

SSOCS 2004 Codebook (continued)

Q1MQ1MQ1MQ1M Require students to wear uniformsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

3041 Yes 11.0 11085.6 13.8

24682 No 89.0 69368.5 86.2

2772 80454.2100.0 100.0

Q1NQ1NQ1NQ1N Practice to enforce a strict dress codeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17401 Yes 62.8 44327.3 55.1

10322 No 37.2 36126.8 44.9

2772 80454.2100.0 100.0

Q1OQ1OQ1OQ1O Provide school lockers to studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19421 Yes 70.1 39851.7 49.5

8302 No 29.9 40602.4 50.5

2772 80454.2100.0 100.0

Q1PQ1PQ1PQ1P Require clear book bags or ban book bagsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2401 Yes 8.7 4954.0 6.2

25322 No 91.3 75500.1 93.8

2772 80454.2100.0 100.0

Q1QQ1QQ1QQ1Q Require students to wear badge or photo IDVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

3181 Yes 11.5 5124.0 6.4

24542 No 88.5 75330.1 93.6

2772 80454.2100.0 100.0

Q1RQ1RQ1RQ1R Require faculty/staff to wear badge or photo IDVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

13881 Yes 50.1 38601.1 48.0

13842 No 49.9 41853.1 52.0

2772 80454.2100.0 100.0

Page 4

SSOCS 2004 Codebook (continued)

Q1SQ1SQ1SQ1S Security camera(s) monitor the schoolVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

12981 Yes 46.8 28969.7 36.0

14742 No 53.2 51484.5 64.0

2772 80454.2100.0 100.0

Q1TQ1TQ1TQ1T Provide telephones in most classroomsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17911 Yes 64.6 48891.2 60.8

9812 No 35.4 31563.0 39.2

2772 80454.2100.0 100.0

Q1UQ1UQ1UQ1U Provide two-way radios to any staffVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

20431 Yes 73.7 57248.4 71.2

7292 No 26.3 23205.7 28.8

2772 80454.2100.0 100.0

Q1VQ1VQ1VQ1V Tobacco prohibited on school groundsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25401 Yes 91.6 71428.3 88.8

2322 No 8.4 9025.9 11.2

2772 80454.2100.0 100.0

Q2A1Q2A1Q2A1Q2A1 School has written plan for shootingsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23261 Yes 83.9 63163.7 78.5

4462 No 16.1 17290.4 21.5

2772 80454.2100.0 100.0

Page 5

SSOCS 2004 Codebook (continued)

Q2A2Q2A2Q2A2Q2A2 Drilled students on plan for shootingsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

446-1 Question was skipped 16.1 17290.4 21.5

11281 Yes 40.7 29393.7 36.5

11982 No 43.2 33770.0 42.0

2772 80454.2100.0 100.0

Q2B1Q2B1Q2B1Q2B1 Written plan for natural disastersVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26741 Yes 96.5 77251.7 96.0

982 No 3.5 3202.4 4.0

2772 80454.2100.0 100.0

Q2B2Q2B2Q2B2Q2B2 Drilled students on plan for natural disastersVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

98-1 Question was skipped 3.5 3202.4 4.0

22381 Yes 80.7 64895.9 80.7

4362 No 15.7 12355.8 15.4

2772 80454.2100.0 100.0

Q2C1Q2C1Q2C1Q2C1 Written crisis plan for hostagesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21471 Yes 77.5 59121.8 73.5

6252 No 22.5 21332.3 26.5

2772 80454.2100.0 100.0

Q2C2Q2C2Q2C2Q2C2 Drilled students on plan for hostagesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

625-1 Question was skipped 22.5 21332.3 26.5

9471 Yes 34.2 25432.7 31.6

12002 No 43.3 33689.1 41.9

2772 80454.2100.0 100.0

Page 6

SSOCS 2004 Codebook (continued)

Q2D1Q2D1Q2D1Q2D1 Written plan for bomb threatsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26551 Yes 95.8 75598.5 94.0

1172 No 4.2 4855.6 6.0

2772 80454.2100.0 100.0

Q2D2Q2D2Q2D2Q2D2 Drilled students on plan for bomb threatsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

117-1 Question was skipped 4.2 4855.6 6.0

15831 Yes 57.1 41870.8 52.0

10722 No 38.7 33727.7 41.9

2772 80454.2100.0 100.0

Q2E1Q2E1Q2E1Q2E1 Written plan for chemical, biological, or radiological

threats

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19921 Yes 71.9 55701.4 69.2

7802 No 28.1 24752.8 30.8

2772 80454.2100.0 100.0

Q2E2Q2E2Q2E2Q2E2 Drilled students on plan for chemical, biological, or

radiological threats

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

780-1 Question was skipped 28.1 24752.8 30.8

7851 Yes 28.3 21809.9 27.1

12072 No 43.5 33891.5 42.1

2772 80454.2100.0 100.0

Q3AQ3AQ3AQ3A Prevention curriculum/instruction/trainingVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23361 Yes 84.3 70343.2 87.4

4362 No 15.7 10111.0 12.6

2772 80454.2100.0 100.0

Page 7

SSOCS 2004 Codebook (continued)

Q3BQ3BQ3BQ3B Behavioral modification for studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25021 Yes 90.3 73567.2 91.4

2702 No 9.7 6887.0 8.6

2772 80454.2100.0 100.0

Q3CQ3CQ3CQ3C Student counseling/social workVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26041 Yes 93.9 74553.6 92.7

1682 No 6.1 5900.6 7.3

2772 80454.2100.0 100.0

Q3DQ3DQ3DQ3D Individual mentoring/tutoring studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25611 Yes 92.4 74172.3 92.2

2112 No 7.6 6281.8 7.8

2772 80454.2100.0 100.0

Q3EQ3EQ3EQ3E Recreation/enrichment student activitiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23391 Yes 84.4 67133.3 83.4

4332 No 15.6 13320.8 16.6

2772 80454.2100.0 100.0

Q3FQ3FQ3FQ3F Student involvement resolving problemsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

16671 Yes 60.1 45906.6 57.1

11052 No 39.9 34547.5 42.9

2772 80454.2100.0 100.0

Q3GQ3GQ3GQ3G Promote sense of community/integrationVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22441 Yes 81.0 65672.5 81.6

5282 No 19.0 14781.7 18.4

2772 80454.2100.0 100.0

Page 8

SSOCS 2004 Codebook (continued)

Q3HQ3HQ3HQ3H Hotline/tipline to report problemsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

11861 Yes 42.8 25292.6 31.4

15862 No 57.2 55161.6 68.6

2772 80454.2100.0 100.0

Q4AQ4AQ4AQ4A Formal process to obtain parental inputVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

16691 Yes 60.2 47362.4 58.9

11032 No 39.8 33091.7 41.1

2772 80454.2100.0 100.0

Q4BQ4BQ4BQ4B Provide training/assistance to parentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

13311 Yes 48.0 40397.4 50.2

14412 No 52.0 40056.8 49.8

2772 80454.2100.0 100.0

Q4CQ4CQ4CQ4C Program involves parents at schoolVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

5431 Yes 19.6 16915.3 21.0

22292 No 80.4 63538.8 79.0

2772 80454.2100.0 100.0

Q5AQ5AQ5AQ5A Parent participates in open house or back-to-school nightVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2191 0-25% 7.9 4391.1 5.5

6582 26-50% 23.7 13537.5 16.8

9523 51-75% 34.3 24973.3 31.0

8754 76-100% 31.6 35365.3 44.0

685 School does not offer 2.5 2186.9 2.7

2772 80454.2100.0 100.0

Page 9

SSOCS 2004 Codebook (continued)

Q5BQ5BQ5BQ5B Parent participates in parent-teacher conferenceVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

3031 0-25% 10.9 5337.4 6.6

6412 26-50% 23.1 13046.9 16.2

7473 51-75% 26.9 18866.0 23.4

9044 76-100% 32.6 40254.7 50.0

1775 School does not offer 6.4 2949.2 3.7

2772 80454.2100.0 100.0

Q5CQ5CQ5CQ5C Parent participates in subject-area eventsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

4311 0-25% 15.5 8422.6 10.5

7982 26-50% 28.8 19968.9 24.8

8783 51-75% 31.7 26047.7 32.4

5824 76-100% 21.0 23244.9 28.9

835 School does not offer 3.0 2770.1 3.4

2772 80454.2100.0 100.0

Q5DQ5DQ5DQ5D Parent volunteers at schoolVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17101 0-25% 61.7 41525.3 51.6

6902 26-50% 24.9 23562.3 29.3

2403 51-75% 8.7 10395.2 12.9

874 76-100% 3.1 3864.6 4.8

455 School does not offer 1.6 1106.7 1.4

2772 80454.2100.0 100.0

Q6AQ6AQ6AQ6A Community involvement-parent groupsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

20221 Yes 72.9 58941.9 73.3

7502 No 27.1 21512.3 26.7

2772 80454.2100.0 100.0

Page 10

SSOCS 2004 Codebook (continued)

Q6BQ6BQ6BQ6B Community involvement-social servicesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19731 Yes 71.2 54198.9 67.4

7992 No 28.8 26255.3 32.6

2772 80454.2100.0 100.0

Q6CQ6CQ6CQ6C Community involvement-juvenile justiceVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

16521 Yes 59.6 36999.4 46.0

11202 No 40.4 43454.8 54.0

2772 80454.2100.0 100.0

Q6DQ6DQ6DQ6D Community involvement-law enforcementVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24571 Yes 88.6 66861.3 83.1

3152 No 11.4 13592.9 16.9

2772 80454.2100.0 100.0

Q6EQ6EQ6EQ6E Community involvement-mental healthVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

16351 Yes 59.0 42442.6 52.8

11372 No 41.0 38011.5 47.2

2772 80454.2100.0 100.0

Q6FQ6FQ6FQ6F Community involvement-civic organizationsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

12881 Yes 46.5 34818.8 43.3

14842 No 53.5 45635.4 56.7

2772 80454.2100.0 100.0

Q6GQ6GQ6GQ6G Community involvement-businessVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

8941 Yes 32.3 25434.3 31.6

18782 No 67.7 55019.8 68.4

2772 80454.2100.0 100.0

Page 11

SSOCS 2004 Codebook (continued)

Q6HQ6HQ6HQ6H Community involvement-religious organizationsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

7051 Yes 25.4 17996.7 22.4

20672 No 74.6 62457.5 77.6

2772 80454.2100.0 100.0

Q7Q7Q7Q7 Sworn law enforcement officer or security guardVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17541 Yes 63.3 36119.3 44.9

10182 No 36.7 44334.8 55.1

2772 80454.2100.0 100.0

Q8AQ8AQ8AQ8A Security used during school hoursVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

16491 Yes 59.5 31889.0 39.6

1052 No 3.8 4230.3 5.3

2772 80454.2100.0 100.0

Q8BQ8BQ8BQ8B Security while students arrive/leaveVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15251 Yes 55.0 27623.9 34.3

2292 No 8.3 8495.4 10.6

2772 80454.2100.0 100.0

Q8CQ8CQ8CQ8C Security at selected school activitiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15581 Yes 56.2 27869.5 34.6

1962 No 7.1 8249.9 10.3

2772 80454.2100.0 100.0

Page 12

SSOCS 2004 Codebook (continued)

Q8DQ8DQ8DQ8D Security when school not occurringVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

7001 Yes 25.3 12328.6 15.3

10542 No 38.0 23790.8 29.6

2772 80454.2100.0 100.0

Q8EQ8EQ8EQ8E Other times security usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

2121 Yes 7.6 6864.0 8.5

15422 No 55.6 29255.4 36.4

2772 80454.2100.0 100.0

Q8ECODEQ8ECODEQ8ECODEQ8ECODE Coded other times security usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

301 Available as needed 26.1 1164.4 23.2

812 D.A.R.E. /education activities 70.4 3773.1 75.2

44 Other 3.5 79.3 1.6

115 5016.9100.0 100.0

Q8E_SPFYQ8E_SPFYQ8E_SPFYQ8E_SPFY Verbatim responsesVariable Name:

Page 13

SSOCS 2004 Codebook (continued)

Q9A1Q9A1Q9A1Q9A1 # of full-time security guardsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

10370 37.4 25427.2 31.6

2701 9.7 5477.2 6.8

1612 5.8 2105.8 2.6

1073 3.9 1285.8 1.6

634 2.3 734.2 0.9

405 1.4 378.1 0.5

276 1.0 248.7 0.3

117 0.4 105.1 0.1

128 0.4 128.8 0.2

109 0.4 80.9 0.1

410 0.1 36.1 0.0

311 0.1 23.9 0.0

412 0.1 41.5 0.1

213 0.1 18.5 0.0

117 0.0 9.4 0.0

218 0.1 18.3 0.0

2772 80454.2100.0 100.0

Page 14

SSOCS 2004 Codebook (continued)

Q9A2Q9A2Q9A2Q9A2 # of part-time security guardsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

13980 50.4 30053.2 37.4

1661 6.0 3748.5 4.7

762 2.7 1078.9 1.3

233 0.8 299.4 0.4

174 0.6 163.3 0.2

265 0.9 223.7 0.3

146 0.5 186.8 0.2

77 0.3 59.0 0.1

78 0.3 111.5 0.1

39 0.1 23.2 0.0

310 0.1 48.8 0.1

611 0.2 50.6 0.1

112 0.0 9.1 0.0

314 0.1 24.2 0.0

215 0.1 21.0 0.0

118 0.0 9.1 0.0

125 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 15

SSOCS 2004 Codebook (continued)

Q9B1Q9B1Q9B1Q9B1 # of full-time School Resource OfficersVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

7560 27.3 22234.2 27.6

8731 31.5 12631.8 15.7

892 3.2 903.5 1.1

183 0.6 182.1 0.2

44 0.1 37.1 0.0

45 0.1 34.4 0.0

36 0.1 23.3 0.0

37 0.1 34.2 0.0

18 0.0 9.1 0.0

19 0.0 10.6 0.0

110 0.0 7.2 0.0

112 0.0 12.0 0.0

2772 80454.2100.0 100.0

Q9B2Q9B2Q9B2Q9B2 # of part-time School Resource OfficersVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

10930 39.4 20398.8 25.4

5551 20.0 13994.1 17.4

892 3.2 1538.0 1.9

73 0.3 89.5 0.1

34 0.1 38.5 0.0

35 0.1 22.0 0.0

16 0.0 9.6 0.0

17 0.0 6.1 0.0

110 0.0 10.8 0.0

112 0.0 12.0 0.0

2772 80454.2100.0 100.0

Page 16

SSOCS 2004 Codebook (continued)

Q9C1Q9C1Q9C1Q9C1 # of full-time sworn law enforcement officers---not SROsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15940 57.5 33849.5 42.1

1141 4.1 1458.5 1.8

292 1.0 544.8 0.7

73 0.3 145.1 0.2

54 0.2 55.4 0.1

35 0.1 46.8 0.1

17 0.0 10.2 0.0

110 0.0 9.1 0.0

2772 80454.2100.0 100.0

Q9C2Q9C2Q9C2Q9C2 # of part-time sworn law enforcement officers---not SROsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15000 54.1 30376.4 37.8

1581 5.7 4038.6 5.0

552 2.0 1087.3 1.4

173 0.6 333.8 0.4

154 0.5 187.8 0.2

35 0.1 37.2 0.0

26 0.1 17.3 0.0

28 0.1 16.2 0.0

210 0.1 24.8 0.0

2772 80454.2100.0 100.0

Q10AQ10AQ10AQ10A Guards in uniform or identifiable clothesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

16151 Yes 58.3 33188.0 41.3

1392 No 5.0 2931.3 3.6

2772 80454.2100.0 100.0

Page 17

SSOCS 2004 Codebook (continued)

Q10BQ10BQ10BQ10B Guards armed with firearmsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

14561 Yes 52.5 27229.2 33.8

2982 No 10.8 8890.1 11.0

2772 80454.2100.0 100.0

Q11AQ11AQ11AQ11A Security enforcement and patrolVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15451 Yes 55.7 27693.9 34.4

2092 No 7.5 8425.4 10.5

2772 80454.2100.0 100.0

Q11BQ11BQ11BQ11B Maintain school disciplineVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15601 Yes 56.3 28397.5 35.3

1942 No 7.0 7721.8 9.6

2772 80454.2100.0 100.0

Q11CQ11CQ11CQ11C Coordinated with local policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15491 Yes 55.9 28137.4 35.0

2052 No 7.4 7982.0 9.9

2772 80454.2100.0 100.0

Q11DQ11DQ11DQ11D Identify problems and seek solutionsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

15201 Yes 54.8 27759.5 34.5

2342 No 8.4 8359.9 10.4

2772 80454.2100.0 100.0

Page 18

SSOCS 2004 Codebook (continued)

Q11EQ11EQ11EQ11E Train teachers in school safetyVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

9791 Yes 35.3 16295.1 20.3

7752 No 28.0 19824.3 24.6

2772 80454.2100.0 100.0

Q11FQ11FQ11FQ11F Mentor studentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

13111 Yes 47.3 24720.8 30.7

4432 No 16.0 11398.5 14.2

2772 80454.2100.0 100.0

Q11GQ11GQ11GQ11G Teach or train students (e.g., drug-related education)Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1018-1 Question was skipped 36.7 44334.8 55.1

8701 Yes 31.4 18547.2 23.1

8842 No 31.9 17572.2 21.8

2772 80454.2100.0 100.0

Q12AQ12AQ12AQ12A Teacher training---classroom managementVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

20931 Yes 75.5 58182.8 72.3

6792 No 24.5 22271.4 27.7

2772 80454.2100.0 100.0

Q12BQ12BQ12BQ12B Teacher training---discipline policiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19861 Yes 71.6 54271.7 67.5

7862 No 28.4 26182.5 32.5

2772 80454.2100.0 100.0

Page 19

SSOCS 2004 Codebook (continued)

Q12CQ12CQ12CQ12C Teacher training---safety proceduresVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24901 Yes 89.8 70660.4 87.8

2822 No 10.2 9793.8 12.2

2772 80454.2100.0 100.0

Q12DQ12DQ12DQ12D Teacher training---early warning signs for violent behaviorVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

14001 Yes 50.5 36029.8 44.8

13722 No 49.5 44424.4 55.2

2772 80454.2100.0 100.0

Q12EQ12EQ12EQ12E Teacher training---student alcohol/drug abuseVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

13921 Yes 50.2 32128.3 39.9

13802 No 49.8 48325.8 60.1

2772 80454.2100.0 100.0

Q12FQ12FQ12FQ12F Teacher training---positive behavioral interventionVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21271 Yes 76.7 61339.5 76.2

6452 No 23.3 19114.6 23.8

2772 80454.2100.0 100.0

Q14AQ14AQ14AQ14A Efforts limited by inadequate/lack of teacher trainingVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1101 Limit in major way 4.0 2603.9 3.2

10512 Limit in minor way 37.9 26801.8 33.3

16113 Does not limit 58.1 51048.4 63.5

2772 80454.2100.0 100.0

Page 20

SSOCS 2004 Codebook (continued)

Q14BQ14BQ14BQ14B Efforts limited by inadequate/lack of alternative placementVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

6991 Limit in major way 25.2 19104.8 23.7

10412 Limit in minor way 37.6 28713.6 35.7

10323 Does not limit 37.2 32635.8 40.6

2772 80454.2100.0 100.0

Q14CQ14CQ14CQ14C Efforts limited by parental complaintsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1001 Limit in major way 3.6 2814.7 3.5

7102 Limit in minor way 25.6 19367.7 24.1

19623 Does not limit 70.8 58271.7 72.4

2772 80454.2100.0 100.0

Q14DQ14DQ14DQ14D Efforts limited by inadequate/lack of teacher supportVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

801 Limit in major way 2.9 1450.0 1.8

6082 Limit in minor way 21.9 13416.9 16.7

20843 Does not limit 75.2 65587.3 81.5

2772 80454.2100.0 100.0

Q14EQ14EQ14EQ14E Efforts limited by inadequate/lack of parent supportVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2021 Limit in major way 7.3 4639.7 5.8

10802 Limit in minor way 39.0 28773.6 35.8

14903 Does not limit 53.8 47040.8 58.5

2772 80454.2100.0 100.0

Q14FQ14FQ14FQ14F Efforts limited by fear of student retaliationVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

411 Limit in major way 1.5 710.7 0.9

5262 Limit in minor way 19.0 11524.7 14.3

22053 Does not limit 79.5 68218.8 84.8

2772 80454.2100.0 100.0

Page 21

SSOCS 2004 Codebook (continued)

Q14GQ14GQ14GQ14G Efforts limited by fear of litigationVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

781 Limit in major way 2.8 1881.1 2.3

7712 Limit in minor way 27.8 19940.2 24.8

19233 Does not limit 69.4 58632.9 72.9

2772 80454.2100.0 100.0

Q14HQ14HQ14HQ14H Efforts limited by inadequate fundsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

6571 Limit in major way 23.7 17512.9 21.8

10832 Limit in minor way 39.1 29097.4 36.2

10323 Does not limit 37.2 33843.9 42.1

2772 80454.2100.0 100.0

Q14IQ14IQ14IQ14I Efforts limited by inconsistent application of policiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1771 Limit in major way 6.4 3821.7 4.8

11442 Limit in minor way 41.3 29519.9 36.7

14513 Does not limit 52.3 47112.5 58.6

2772 80454.2100.0 100.0

Q14JQ14JQ14JQ14J Efforts limited by fear of district or state reprisalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

461 Limit in major way 1.7 1257.9 1.6

4072 Limit in minor way 14.7 10551.9 13.1

23193 Does not limit 83.7 68644.3 85.3

2772 80454.2100.0 100.0

Q14KQ14KQ14KQ14K Efforts limited by federal policies/special edVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

6161 Limit in major way 22.2 13037.9 16.2

12172 Limit in minor way 43.9 34621.5 43.0

9393 Does not limit 33.9 32794.8 40.8

2772 80454.2100.0 100.0

Page 22

SSOCS 2004 Codebook (continued)

Q14LQ14LQ14LQ14L Efforts limited by other federal policiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1031 Limit in major way 3.7 2277.2 2.8

8052 Limit in minor way 29.0 19957.4 24.8

18643 Does not limit 67.2 58219.6 72.4

2772 80454.2100.0 100.0

Q14MQ14MQ14MQ14M Efforts limited by state/district policyVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

791 Limit in major way 2.8 1537.3 1.9

7932 Limit in minor way 28.6 19745.7 24.5

19003 Does not limit 68.5 59171.1 73.5

2772 80454.2100.0 100.0

Q15Q15Q15Q15 Any school deaths from homicidesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

51 Yes 0.2 67.0 0.1

27672 No 99.8 80387.2 99.9

2772 80454.2100.0 100.0

Q16Q16Q16Q16 School shooting incidentsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

151 Yes 0.5 204.4 0.3

27572 No 99.5 80249.8 99.7

2772 80454.2100.0 100.0

Q17A1Q17A1Q17A1Q17A1 # of rapes/attempted rapes---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27210 98.2 79810.9 99.2

381 1.4 487.0 0.6

112 0.4 140.1 0.2

14 0.0 7.2 0.0

15 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 23

SSOCS 2004 Codebook (continued)

Q17A2Q17A2Q17A2Q17A2 # of rapes reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27230 98.2 79836.4 99.2

371 1.3 468.6 0.6

102 0.4 132.9 0.2

14 0.0 7.2 0.0

15 0.0 9.1 0.0

2772 80454.2100.0 100.0

Q17B1Q17B1Q17B1Q17B1 # of sexual battery other than rape---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25890 93.4 78059.6 97.0

1091 3.9 1546.5 1.9

272 1.0 366.0 0.5

183 0.6 194.5 0.2

94 0.3 95.1 0.1

95 0.3 85.0 0.1

36 0.1 27.6 0.0

37 0.1 29.1 0.0

110 0.0 9.4 0.0

112 0.0 12.8 0.0

133 0.0 8.7 0.0

135 0.0 10.6 0.0

150 0.0 9.4 0.0

2772 80454.2100.0 100.0

Page 24

SSOCS 2004 Codebook (continued)

Q17B2Q17B2Q17B2Q17B2 # of sexual battery other than rape reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26040 93.9 78354.6 97.4

1041 3.8 1365.4 1.7

262 0.9 356.9 0.4

163 0.6 166.1 0.2

64 0.2 61.4 0.1

95 0.3 82.4 0.1

26 0.1 18.2 0.0

27 0.1 19.7 0.0

110 0.0 9.4 0.0

135 0.0 10.6 0.0

150 0.0 9.4 0.0

2772 80454.2100.0 100.0

Q17C1_1Q17C1_1Q17C1_1Q17C1_1 # of robberies with weapon---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 98.8 79977.9 99.4

161 0.6 324.9 0.4

62 0.2 56.1 0.1

43 0.1 38.1 0.0

24 0.1 18.5 0.0

110 0.0 10.6 0.0

112 0.0 8.2 0.0

115 0.0 9.1 0.0

135 0.0 10.8 0.0

2772 80454.2100.0 100.0

Page 25

SSOCS 2004 Codebook (continued)

Q17C1_2Q17C1_2Q17C1_2Q17C1_2 # of robberies with weapon reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 98.8 79977.9 99.4

161 0.6 324.9 0.4

62 0.2 56.1 0.1

43 0.1 38.1 0.0

24 0.1 18.5 0.0

110 0.0 10.6 0.0

112 0.0 8.2 0.0

115 0.0 9.1 0.0

135 0.0 10.8 0.0

2772 80454.2100.0 100.0

Q17C2_1Q17C2_1Q17C2_1Q17C2_1 # of incidents of robbery without weapon---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25250 91.1 75384.5 93.7

851 3.1 2120.7 2.6

472 1.7 1189.6 1.5

323 1.2 456.2 0.6

204 0.7 531.8 0.7

155 0.5 220.4 0.3

96 0.3 116.5 0.1

47 0.1 40.3 0.1

48 0.1 32.6 0.0

19 0.0 6.1 0.0

1210 0.4 122.0 0.2

111 0.0 6.0 0.0

312 0.1 29.4 0.0

214 0.1 13.4 0.0

115 0.0 17.0 0.0

118 0.0 4.5 0.0

720 0.3 132.8 0.2

122 0.0 9.4 0.0

125 0.0 9.1 0.0

141 0.0 12.0 0.0

2772 80454.2100.0 100.0

Page 26

SSOCS 2004 Codebook (continued)

Q17C2_2Q17C2_2Q17C2_2Q17C2_2 # of robbery without weapon reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25670 92.6 77106.8 95.8

841 3.0 1848.8 2.3

392 1.4 600.8 0.7

313 1.1 351.9 0.4

84 0.3 88.4 0.1

85 0.3 146.3 0.2

86 0.3 74.3 0.1

27 0.1 18.5 0.0

38 0.1 23.5 0.0

29 0.1 10.6 0.0

1010 0.4 97.9 0.1

111 0.0 6.0 0.0

112 0.0 9.4 0.0

214 0.1 13.4 0.0

119 0.0 12.0 0.0

320 0.1 27.2 0.0

122 0.0 9.4 0.0

125 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 27

SSOCS 2004 Codebook (continued)

Q17D1_1Q17D1_1Q17D1_1Q17D1_1 # of attacks with weapon---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26110 94.2 77247.8 96.0

811 2.9 1604.5 2.0

282 1.0 402.7 0.5

73 0.3 281.9 0.4

114 0.4 152.1 0.2

105 0.4 161.1 0.2

66 0.2 205.9 0.3

17 0.0 69.9 0.1

28 0.1 19.7 0.0

510 0.2 98.1 0.1

111 0.0 101.0 0.1

113 0.0 12.8 0.0

115 0.0 10.6 0.0

220 0.1 18.7 0.0

126 0.0 25.4 0.0

140 0.0 16.7 0.0

142 0.0 7.1 0.0

150 0.0 9.1 0.0

197 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 28

SSOCS 2004 Codebook (continued)

Q17D1_2Q17D1_2Q17D1_2Q17D1_2 # of attacks with weapon reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26380 95.2 78196.6 97.2

751 2.7 1349.8 1.7

262 0.9 336.7 0.4

83 0.3 243.2 0.3

74 0.3 67.3 0.1

75 0.3 57.1 0.1

46 0.1 129.9 0.2

28 0.1 19.7 0.0

110 0.0 9.4 0.0

220 0.1 18.7 0.0

124 0.0 16.7 0.0

197 0.0 9.1 0.0

2772 80454.2100.0 100.0

Q17D2_1Q17D2_1Q17D2_1Q17D2_1 # of attacks without weapon---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

280

26.8

80454

280

21.0

MeanMeanMeanMean 17.4 11.6

Q17D2_2Q17D2_2Q17D2_2Q17D2_2 # of attacks without weapon reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

214

15.2

80454

214

10.3

MeanMeanMeanMean 6.8 3.1

Page 29

SSOCS 2004 Codebook (continued)

Q17E1_1Q17E1_1Q17E1_1Q17E1_1 # of threats of attack with weapon---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24540 88.5 73502.5 91.4

1461 5.3 3597.4 4.5

722 2.6 1595.2 2.0

393 1.4 677.6 0.8

164 0.6 297.0 0.4

175 0.6 239.8 0.3

46 0.1 69.8 0.1

37 0.1 32.5 0.0

38 0.1 76.5 0.1

710 0.3 123.2 0.2

212 0.1 64.3 0.1

215 0.1 20.0 0.0

120 0.0 14.0 0.0

121 0.0 80.5 0.1

225 0.1 20.0 0.0

130 0.0 25.4 0.0

150 0.0 9.1 0.0

175 0.0 9.4 0.0

2772 80454.2100.0 100.0

Page 30

SSOCS 2004 Codebook (continued)

Q17E1_2Q17E1_2Q17E1_2Q17E1_2 # of threats of attack with weapon reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25230 91.0 75627.7 94.0

1221 4.4 2914.6 3.6

572 2.1 983.4 1.2

293 1.0 409.2 0.5

114 0.4 141.4 0.2

175 0.6 243.6 0.3

26 0.1 24.7 0.0

17 0.0 9.4 0.0

28 0.1 18.5 0.0

19 0.0 18.0 0.0

310 0.1 23.4 0.0

112 0.0 6.3 0.0

114 0.0 10.6 0.0

120 0.0 14.0 0.0

175 0.0 9.4 0.0

2772 80454.2100.0 100.0

Q17E2_1Q17E2_1Q17E2_1Q17E2_1 # of threats of attack without weapon---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2011

49.8

80454

2011

37.1

MeanMeanMeanMean 12.0 7.0

Q17E2_2Q17E2_2Q17E2_2Q17E2_2 # of threats of attack without weapon reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

385

11.6

80454

385

8.0

MeanMeanMeanMean 3.0 1.3

Page 31

SSOCS 2004 Codebook (continued)

Q17F1Q17F1Q17F1Q17F1 # of incidents theft/larceny---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

210

11.2

80454

210

6.9

MeanMeanMeanMean 5.5 2.5

Q17F2Q17F2Q17F2Q17F2 # of incidents theft/larceny reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

7.8

80454

100

4.8

MeanMeanMeanMean 3.3 1.4

Q17G1Q17G1Q17G1Q17G1 # of possession of firearms---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24930 89.9 75578.7 93.9

1581 5.7 3292.9 4.1

752 2.7 1108.7 1.4

233 0.8 267.9 0.3

114 0.4 102.3 0.1

35 0.1 27.3 0.0

56 0.2 47.5 0.1

17 0.0 9.1 0.0

110 0.0 9.1 0.0

111 0.0 3.9 0.0

120 0.0 6.9 0.0

2772 80454.2100.0 100.0

Page 32

SSOCS 2004 Codebook (continued)

Q17G2Q17G2Q17G2Q17G2 # of possession of firearms reported to policeVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25170 90.8 76545.2 95.1

1451 5.2 2564.8 3.2

682 2.5 901.4 1.1

253 0.9 283.3 0.4

74 0.3 67.9 0.1

35 0.1 27.3 0.0

46 0.1 39.3 0.0

17 0.0 9.1 0.0

110 0.0 9.1 0.0

120 0.0 6.9 0.0

2772 80454.2100.0 100.0

Q17H1Q17H1Q17H1Q17H1 # of possession knife/sharp object---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2.1

80454

1.4

MeanMeanMeanMean 0.8 0.4

Q17H2Q17H2Q17H2Q17H2 # of possession knife/sharp object reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

1.9

80454

1.2

MeanMeanMeanMean 0.6 0.3

Page 33

SSOCS 2004 Codebook (continued)

Q17I1Q17I1Q17I1Q17I1 # of distribution of drugs---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

3.4

80454

2.0

MeanMeanMeanMean 1.1 0.4

Q17I2Q17I2Q17I2Q17I2 # of distribution of drugs reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

3.1

80454

1.8

MeanMeanMeanMean 1.0 0.4

Q17J1Q17J1Q17J1Q17J1 # of possession or use of alcohol---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

8.4

80454

100

5.0

MeanMeanMeanMean 4.4 1.6

Q17J2Q17J2Q17J2Q17J2 # of possession or use of alcohol reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

7.4

80454

100

4.4

MeanMeanMeanMean 3.7 1.4

Page 34

SSOCS 2004 Codebook (continued)

Q17K1Q17K1Q17K1Q17K1 # of incidents of vandalism---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

123

8.4

80454

123

5.6

MeanMeanMeanMean 3.9 2.2

Q17K2Q17K2Q17K2Q17K2 # of incident of vandalism reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

123

6.1

80454

123

3.9

MeanMeanMeanMean 2.1 1.2

Q18AQ18AQ18AQ18A # of hate crimesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26300 94.9 78456.1 97.5

611 2.2 899.4 1.1

402 1.4 591.0 0.7

173 0.6 159.1 0.2

54 0.2 58.0 0.1

115 0.4 178.3 0.2

36 0.1 29.8 0.0

18 0.0 9.4 0.0

110 0.0 9.4 0.0

111 0.0 10.8 0.0

127 0.0 43.8 0.1

1116 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 35

SSOCS 2004 Codebook (continued)

Q18BQ18BQ18BQ18B # of gang-related crimesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

4.5

80454

100

2.8

MeanMeanMeanMean 0.7 0.3

Q19Q19Q19Q19 # of times school disrupted (e.g., bomb, chemical,

radiological, death threats)

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24650 88.9 75363.3 93.7

1701 6.1 3177.4 3.9

632 2.3 996.8 1.2

343 1.2 344.0 0.4

134 0.5 150.0 0.2

65 0.2 144.4 0.2

36 0.1 40.1 0.0

37 0.1 42.0 0.1

18 0.0 9.1 0.0

49 0.1 33.6 0.0

310 0.1 40.6 0.1

111 0.0 59.5 0.1

125 0.0 9.4 0.0

126 0.0 5.0 0.0

127 0.0 9.1 0.0

133 0.0 12.0 0.0

134 0.0 9.1 0.0

142 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 36

SSOCS 2004 Codebook (continued)

Q20AQ20AQ20AQ20A How often student racial tensionsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

221 Happens daily 0.8 326.9 0.4

852 At least once a week 3.1 1369.1 1.7

1253 At least once a month 4.5 2283.1 2.8

15884 Happens on occasion 57.3 38814.9 48.2

9525 Never happens 34.3 37660.0 46.8

2772 80454.2100.0 100.0

Q20BQ20BQ20BQ20B How often student bullying occursVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

3261 Happens daily 11.8 7855.7 9.8

5242 At least once a week 18.9 13675.0 17.0

6073 At least once a month 21.9 15621.1 19.4

12824 Happens on occasion 46.2 41977.0 52.2

335 Never happens 1.2 1325.3 1.6

2772 80454.2100.0 100.0

Q20CQ20CQ20CQ20C How often student sexual harassment of studentVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

371 Happens daily 1.3 700.7 0.9

1422 At least once a week 5.1 2344.1 2.9

3763 At least once a month 13.6 7194.8 8.9

18614 Happens on occasion 67.1 49833.3 61.9

3565 Never happens 12.8 20381.2 25.3

2772 80454.2100.0 100.0

Q20DQ20DQ20DQ20D How often student verbal abuse of teachersVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1001 Happens daily 3.6 1849.1 2.3

3362 At least once a week 12.1 6784.8 8.4

4213 At least once a month 15.2 8328.3 10.4

15284 Happens on occasion 55.1 43854.2 54.5

3875 Never happens 14.0 19637.8 24.4

2772 80454.2100.0 100.0

Page 37

SSOCS 2004 Codebook (continued)

Q20EQ20EQ20EQ20E How often student disorder in classroomsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

281 Happens daily 1.0 700.4 0.9

912 At least once a week 3.3 1555.2 1.9

1163 At least once a month 4.2 2238.7 2.8

9724 Happens on occasion 35.1 23378.8 29.1

15655 Never happens 56.5 52580.9 65.4

2772 80454.2100.0 100.0

Q20FQ20FQ20FQ20F How often student acts of disrespectVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2551 Happens daily 9.2 4774.2 5.9

4842 At least once a week 17.5 10891.6 13.5

4123 At least once a month 14.9 10002.9 12.4

14874 Happens on occasion 53.6 47387.6 58.9

1345 Never happens 4.8 7397.9 9.2

2772 80454.2100.0 100.0

Q20GQ20GQ20GQ20G How often student gang activitiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

221 Happens daily 0.8 271.2 0.3

462 At least once a week 1.7 568.2 0.7

943 At least once a month 3.4 1169.7 1.5

7064 Happens on occasion 25.5 11399.7 14.2

19045 Never happens 68.7 67045.3 83.3

2772 80454.2100.0 100.0

Q20HQ20HQ20HQ20H How often student cult or extremist activitiesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

12 At least once a week 0.0 14.0 0.0

73 At least once a month 0.3 66.8 0.1

2154 Happens on occasion 7.8 2659.8 3.3

25495 Never happens 92.0 77713.6 96.6

2772 80454.2100.0 100.0

Page 38

SSOCS 2004 Codebook (continued)

Q21A1Q21A1Q21A1Q21A1 Removal with no services availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

16201 Yes 58.4 41409.8 51.5

11522 No 41.6 39044.4 48.5

2772 80454.2100.0 100.0

Q21A2Q21A2Q21A2Q21A2 Removal with no services---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1152-1 Question was skipped 41.6 39044.4 48.5

6151 Yes 22.2 9315.4 11.6

10052 No 36.3 32094.4 39.9

2772 80454.2100.0 100.0

Q21B1Q21B1Q21B1Q21B1 Removal with tutoring/at-home instruction availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

18571 Yes 67.0 49732.5 61.8

9152 No 33.0 30721.6 38.2

2772 80454.2100.0 100.0

Q21B2Q21B2Q21B2Q21B2 Removal with tutoring/at-home instruction---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

915-1 Question was skipped 33.0 30721.6 38.2

8841 Yes 31.9 13166.1 16.4

9732 No 35.1 36566.4 45.4

2772 80454.2100.0 100.0

Q21C1Q21C1Q21C1Q21C1 Transfer to specialized school availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21331 Yes 76.9 53839.6 66.9

6392 No 23.1 26614.6 33.1

2772 80454.2100.0 100.0

Page 39

SSOCS 2004 Codebook (continued)

Q21C2Q21C2Q21C2Q21C2 Transfer to specialized school available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

639-1 Question was skipped 23.1 26614.6 33.1

14841 Yes 53.5 27104.6 33.7

6492 No 23.4 26735.0 33.2

2772 80454.2100.0 100.0

Q21D1Q21D1Q21D1Q21D1 Transfer to regular school availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

10891 Yes 39.3 30430.3 37.8

16832 No 60.7 50023.9 62.2

2772 80454.2100.0 100.0

Q21D2Q21D2Q21D2Q21D2 Transfer to regular school available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1683-1 Question was skipped 60.7 50023.9 62.2

5921 Yes 21.4 11322.9 14.1

4972 No 17.9 19107.4 23.7

2772 80454.2100.0 100.0

Q21E1Q21E1Q21E1Q21E1 Outside suspension/no services availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21271 Yes 76.7 54420.9 67.6

6452 No 23.3 26033.3 32.4

2772 80454.2100.0 100.0

Q21E2Q21E2Q21E2Q21E2 Outside suspension/no services available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

645-1 Question was skipped 23.3 26033.3 32.4

19141 Yes 69.0 43169.8 53.7

2132 No 7.7 11251.1 14.0

2772 80454.2100.0 100.0

Page 40

SSOCS 2004 Codebook (continued)

Q21F1Q21F1Q21F1Q21F1 Outside suspension with services availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21781 Yes 78.6 60189.5 74.8

5942 No 21.4 20264.6 25.2

2772 80454.2100.0 100.0

Q21F2Q21F2Q21F2Q21F2 Outside suspension with services available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

594-1 Question was skipped 21.4 20264.6 25.2

16301 Yes 58.8 35267.8 43.8

5482 No 19.8 24921.7 31.0

2772 80454.2100.0 100.0

Q21G1Q21G1Q21G1Q21G1 In-school suspension/no services availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

4731 Yes 17.1 17849.1 22.2

22992 No 82.9 62605.1 77.8

2772 80454.2100.0 100.0

Q21G2Q21G2Q21G2Q21G2 In-school suspension/no services available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2299-1 Question was skipped 82.9 62605.1 77.8

2721 Yes 9.8 8378.2 10.4

2012 No 7.3 9470.8 11.8

2772 80454.2100.0 100.0

Q21H1Q21H1Q21H1Q21H1 In-school suspension with services availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

20941 Yes 75.5 60171.9 74.8

6782 No 24.5 20282.3 25.2

2772 80454.2100.0 100.0

Page 41

SSOCS 2004 Codebook (continued)

Q21H2Q21H2Q21H2Q21H2 In-school suspension with services available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

678-1 Question was skipped 24.5 20282.3 25.2

18871 Yes 68.1 49571.2 61.6

2072 No 7.5 10600.7 13.2

2772 80454.2100.0 100.0

Q21I1Q21I1Q21I1Q21I1 Referral to school counselor availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26671 Yes 96.2 74816.1 93.0

1052 No 3.8 5638.0 7.0

2772 80454.2100.0 100.0

Q21I2Q21I2Q21I2Q21I2 Referral to school counselor available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

105-1 Question was skipped 3.8 5638.0 7.0

26401 Yes 95.2 72925.5 90.6

272 No 1.0 1890.7 2.4

2772 80454.2100.0 100.0

Q21J1Q21J1Q21J1Q21J1 In-school disciplinary plan availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17031 Yes 61.4 44878.7 55.8

10692 No 38.6 35575.4 44.2

2772 80454.2100.0 100.0

Q21J2Q21J2Q21J2Q21J2 In-school disciplinary plan available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1069-1 Question was skipped 38.6 35575.4 44.2

15551 Yes 56.1 37842.0 47.0

1482 No 5.3 7036.7 8.7

2772 80454.2100.0 100.0

Page 42

SSOCS 2004 Codebook (continued)

Q21K1Q21K1Q21K1Q21K1 Outside school disciplinary plan availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

10331 Yes 37.3 23720.4 29.5

17392 No 62.7 56733.8 70.5

2772 80454.2100.0 100.0

Q21K2Q21K2Q21K2Q21K2 Outside school disciplinary plan available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1739-1 Question was skipped 62.7 56733.8 70.5

8581 Yes 31.0 15465.0 19.2

1752 No 6.3 8255.4 10.3

2772 80454.2100.0 100.0

Q21L1Q21L1Q21L1Q21L1 Keep off bus for misbehavior availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25151 Yes 90.7 71130.4 88.4

2572 No 9.3 9323.8 11.6

2772 80454.2100.0 100.0

Q21L2Q21L2Q21L2Q21L2 Keep off bus for misbehavior available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

257-1 Question was skipped 9.3 9323.8 11.6

22781 Yes 82.2 60944.1 75.8

2372 No 8.5 10186.3 12.7

2772 80454.2100.0 100.0

Q21M1Q21M1Q21M1Q21M1 Corporal punishment availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

4041 Yes 14.6 13367.1 16.6

23682 No 85.4 67087.1 83.4

2772 80454.2100.0 100.0

Page 43

SSOCS 2004 Codebook (continued)

Q21M2Q21M2Q21M2Q21M2 Corporal punishment available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2368-1 Question was skipped 85.4 67087.1 83.4

2931 Yes 10.6 9733.1 12.1

1112 No 4.0 3634.0 4.5

2772 80454.2100.0 100.0

Q21N1Q21N1Q21N1Q21N1 School probation availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19961 Yes 72.0 49898.0 62.0

7762 No 28.0 30556.2 38.0

2772 80454.2100.0 100.0

Q21N2Q21N2Q21N2Q21N2 School probation available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

776-1 Question was skipped 28.0 30556.2 38.0

18111 Yes 65.3 39963.5 49.7

1852 No 6.7 9934.4 12.3

2772 80454.2100.0 100.0

Q21O1Q21O1Q21O1Q21O1 Detention/Saturday school availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22811 Yes 82.3 56964.3 70.8

4912 No 17.7 23489.8 29.2

2772 80454.2100.0 100.0

Q21O2Q21O2Q21O2Q21O2 Detention/Saturday school available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

491-1 Question was skipped 17.7 23489.8 29.2

21921 Yes 79.1 51673.5 64.2

892 No 3.2 5290.8 6.6

2772 80454.2100.0 100.0

Page 44

SSOCS 2004 Codebook (continued)

Q21P1Q21P1Q21P1Q21P1 Loss of student privileges availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26261 Yes 94.7 74689.8 92.8

1462 No 5.3 5764.3 7.2

2772 80454.2100.0 100.0

Q21P2Q21P2Q21P2Q21P2 Loss of student privileges available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

146-1 Question was skipped 5.3 5764.3 7.2

25521 Yes 92.1 71050.6 88.3

742 No 2.7 3639.3 4.5

2772 80454.2100.0 100.0

Q21Q1Q21Q1Q21Q1Q21Q1 Require community service availableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

11341 Yes 40.9 27250.7 33.9

16382 No 59.1 53203.5 66.1

2772 80454.2100.0 100.0

Q21Q2Q21Q2Q21Q2Q21Q2 Require community service available---action usedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1638-1 Question was skipped 59.1 53203.5 66.1

9651 Yes 34.8 20135.9 25.0

1692 No 6.1 7114.8 8.8

2772 80454.2100.0 100.0

Page 45

SSOCS 2004 Codebook (continued)

Q22A1Q22A1Q22A1Q22A1 Student use/possession firearm/explosive device---totalVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25310 91.3 76389.9 94.9

1201 4.3 2159.1 2.7

642 2.3 1091.8 1.4

283 1.0 403.0 0.5

104 0.4 119.8 0.1

45 0.1 35.1 0.0

86 0.3 125.0 0.2

17 0.0 9.1 0.0

18 0.0 10.8 0.0

211 0.1 21.6 0.0

119 0.0 40.7 0.1

1127 0.0 20.0 0.0

1501 0.0 28.3 0.0

2772 80454.2100.0 100.0

Q22A2Q22A2Q22A2Q22A2 # of removals for firearm use/possessionVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27140 97.9 79626.0 99.0

391 1.4 587.8 0.7

162 0.6 170.6 0.2

33 0.1 69.8 0.1

2772 80454.2100.0 100.0

Q22A3Q22A3Q22A3Q22A3 # of transfers for firearm use/possessionVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26740 96.5 78999.7 98.2

651 2.3 1032.5 1.3

202 0.7 192.9 0.2

113 0.4 195.3 0.2

14 0.0 24.7 0.0

15 0.0 9.1 0.0

2772 80454.2100.0 100.0

Page 46

SSOCS 2004 Codebook (continued)

Q22A4Q22A4Q22A4Q22A4 # of suspensions for firearm use/possessionVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26870 96.9 79002.7 98.2

451 1.6 859.7 1.1

252 0.9 386.1 0.5

73 0.3 110.5 0.1

34 0.1 29.4 0.0

25 0.1 18.8 0.0

17 0.0 9.1 0.0

19 0.0 9.6 0.0

1150 0.0 28.3 0.0

2772 80454.2100.0 100.0

Q22A5Q22A5Q22A5Q22A5 # of other actions for firearm use/possessionVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27220 98.2 79367.2 98.6

261 0.9 510.6 0.6

102 0.4 331.3 0.4

73 0.3 113.5 0.1

14 0.0 10.1 0.0

26 0.1 20.5 0.0

18 0.0 12.0 0.0

117 0.0 40.7 0.1

1125 0.0 20.0 0.0

1350 0.0 28.3 0.0

2772 80454.2100.0 100.0

Q22B1Q22B1Q22B1Q22B1 Student use/possession weapon (other than firearm)---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

3.1

80454

2.5

MeanMeanMeanMean 1.3 0.7

Page 47

SSOCS 2004 Codebook (continued)

Q22B2Q22B2Q22B2Q22B2 # of removals for weapon useVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26390 95.2 78834.7 98.0

781 2.8 1125.9 1.4

312 1.1 293.5 0.4

93 0.3 81.7 0.1

24 0.1 14.9 0.0

75 0.3 53.9 0.1

26 0.1 15.9 0.0

17 0.0 3.9 0.0

210 0.1 17.6 0.0

111 0.0 12.2 0.0

2772 80454.2100.0 100.0

Q22B3Q22B3Q22B3Q22B3 # of transfers for weapon useVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23610 85.2 75310.3 93.6

1861 6.7 2595.2 3.2

922 3.3 1086.0 1.3

453 1.6 581.6 0.7

244 0.9 236.1 0.3

185 0.6 178.1 0.2

166 0.6 160.1 0.2

87 0.3 80.5 0.1

68 0.2 74.1 0.1

29 0.1 14.5 0.0

310 0.1 25.3 0.0

311 0.1 28.1 0.0

312 0.1 23.6 0.0

213 0.1 19.7 0.0

114 0.0 9.1 0.0

115 0.0 9.1 0.0

120 0.0 22.8 0.0

2772 80454.2100.0 100.0

Page 48

SSOCS 2004 Codebook (continued)

Q22B4Q22B4Q22B4Q22B4 # of suspensions for weapon useVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22390 80.8 71186.1 88.5

2321 8.4 5242.0 6.5

1212 4.4 1776.3 2.2

603 2.2 957.9 1.2

374 1.3 443.5 0.6

245 0.9 265.5 0.3

156 0.5 146.7 0.2

127 0.4 107.8 0.1

48 0.1 42.8 0.1

69 0.2 58.6 0.1

610 0.2 56.7 0.1

111 0.0 12.2 0.0

612 0.2 69.5 0.1

213 0.1 19.3 0.0

515 0.2 49.3 0.1

121 0.0 9.4 0.0

125 0.0 10.6 0.0

2772 80454.2100.0 100.0

Page 49

SSOCS 2004 Codebook (continued)

Q22B5Q22B5Q22B5Q22B5 # of other actions for weapon useVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24690 89.1 72880.5 90.6

1451 5.2 3607.4 4.5

702 2.5 1762.1 2.2

333 1.2 1103.7 1.4

194 0.7 318.6 0.4

125 0.4 363.9 0.5

96 0.3 132.5 0.2

47 0.1 46.2 0.1

18 0.0 7.7 0.0

39 0.1 28.7 0.0

310 0.1 79.1 0.1

111 0.0 19.1 0.0

112 0.0 12.8 0.0

115 0.0 11.2 0.0

142 0.0 80.5 0.1

2772 80454.2100.0 100.0

Q22C1Q22C1Q22C1Q22C1 Student distribution/possession/use illegal drugs---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

229

9.3

80454

229

5.5

MeanMeanMeanMean 4.1 1.5

Page 50

SSOCS 2004 Codebook (continued)

Q22C2Q22C2Q22C2Q22C2 # of removals for distribution/possession/use---illegal drugsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25010 90.2 76947.5 95.6

1211 4.4 1563.6 1.9

672 2.4 998.7 1.2

283 1.0 319.7 0.4

174 0.6 250.0 0.3

105 0.4 122.7 0.2

106 0.4 87.6 0.1

38 0.1 24.9 0.0

410 0.1 39.1 0.0

211 0.1 16.4 0.0

212 0.1 18.0 0.0

115 0.0 6.6 0.0

216 0.1 23.8 0.0

120 0.0 8.2 0.0

122 0.0 9.1 0.0

138 0.0 9.1 0.0

145 0.0 9.1 0.0

2772 80454.2100.0 100.0

Q22C3Q22C3Q22C3Q22C3 # of transfers for distribution/possession/use---illegal drugsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

111

4.0

80454

111

2.3

MeanMeanMeanMean 1.1 0.4

Page 51

SSOCS 2004 Codebook (continued)

Q22C4Q22C4Q22C4Q22C4 # of suspensions for distribution/possession/use---illegal

drugs

Variable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

105

5.2

80454

105

2.9

MeanMeanMeanMean 1.7 0.6

Q22C5Q22C5Q22C5Q22C5 # of other actions for distribution/possession/use---illegal

drugs

Variable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

111

4.0

80454

111

2.3

MeanMeanMeanMean 0.8 0.3

Q22D1Q22D1Q22D1Q22D1 # of distribution/possession/use alcohol---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

4.1

80454

2.5

MeanMeanMeanMean 1.5 0.5

Q22D2Q22D2Q22D2Q22D2 # of removals for distribution/possession/use---alcoholVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27370 98.7 79990.5 99.4

151 0.5 153.2 0.2

132 0.5 160.2 0.2

23 0.1 92.4 0.1

24 0.1 22.2 0.0

17 0.0 11.9 0.0

220 0.1 23.8 0.0

2772 80454.2100.0 100.0

Page 52

SSOCS 2004 Codebook (continued)

Q22D3Q22D3Q22D3Q22D3 # of transfers for distribution/possession/use---alcoholVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25590 92.3 78096.9 97.1

971 3.5 1236.0 1.5

412 1.5 405.5 0.5

203 0.7 167.1 0.2

174 0.6 163.0 0.2

145 0.5 137.0 0.2

96 0.3 100.7 0.1

47 0.1 45.5 0.1

38 0.1 23.7 0.0

510 0.2 53.4 0.1

114 0.0 8.6 0.0

119 0.0 9.4 0.0

128 0.0 7.2 0.0

2772 80454.2100.0 100.0

Q22D4Q22D4Q22D4Q22D4 # of suspensions for distribution/possession/use---alcoholVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2.6

80454

1.5

MeanMeanMeanMean 0.7 0.2

Q22D5Q22D5Q22D5Q22D5 # of other actions for distribution/possession/use---alcoholVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2.3

80454

1.4

MeanMeanMeanMean 0.5 0.2

Page 53

SSOCS 2004 Codebook (continued)

Q22E1Q22E1Q22E1Q22E1 Attacks/fights---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

400

36.0

80454

400

27.7

MeanMeanMeanMean 22.1 13.8

Q22E2Q22E2Q22E2Q22E2 # of removals for attacks/fightsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26080 94.1 78006.3 97.0

671 2.4 822.8 1.0

362 1.3 575.6 0.7

223 0.8 330.5 0.4

124 0.4 236.2 0.3

95 0.3 125.4 0.2

16 0.0 14.8 0.0

27 0.1 15.1 0.0

18 0.0 8.2 0.0

410 0.1 128.5 0.2

111 0.0 19.7 0.0

212 0.1 18.1 0.0

314 0.1 42.3 0.1

220 0.1 79.6 0.1

131 0.0 14.4 0.0

146 0.0 16.7 0.0

2772 80454.2100.0 100.0

Q22E3Q22E3Q22E3Q22E3 # of transfers for attacks/fightsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

221

5.8

80454

221

4.0

MeanMeanMeanMean 1.2 0.5

Page 54

SSOCS 2004 Codebook (continued)

Q22E4Q22E4Q22E4Q22E4 # of suspensions for attacks/fightsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

200

16.4

80454

200

10.9

MeanMeanMeanMean 6.1 2.7

Q22E5Q22E5Q22E5Q22E5 # of other actions for attacks/fightsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

338

25.7

80454

338

20.7

MeanMeanMeanMean 12.7 9.0

Q22F1Q22F1Q22F1Q22F1 Insubordination---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2343

164.8

80454

2343

110.9

MeanMeanMeanMean 62.4 31.8

Page 55

SSOCS 2004 Codebook (continued)

Q22F2Q22F2Q22F2Q22F2 # of removals for insubordinationVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26950 97.2 78987.9 98.2

291 1.0 713.1 0.9

132 0.5 176.7 0.2

163 0.6 251.5 0.3

54 0.2 65.4 0.1

35 0.1 38.9 0.0

27 0.1 29.2 0.0

28 0.1 26.8 0.0

310 0.1 28.4 0.0

114 0.0 6.9 0.0

215 0.1 22.1 0.0

132 0.0 107.3 0.1

2772 80454.2100.0 100.0

Q22F3Q22F3Q22F3Q22F3 # of transfers for insubordinationVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

242

7.7

80454

242

4.7

MeanMeanMeanMean 1.2 0.5

Q22F4Q22F4Q22F4Q22F4 # of suspensions for insubordinationVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

700

27.0

80454

700

15.1

MeanMeanMeanMean 5.1 2.1

Page 56

SSOCS 2004 Codebook (continued)

Q22F5Q22F5Q22F5Q22F5 # of other actions for insubordinationVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

1968

139.3

80454

1968

93.2

MeanMeanMeanMean 47.5 24.0

Q23AQ23AQ23AQ23A # of removals with no service---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

109

6.7

80454

109

4.5

MeanMeanMeanMean 1.6 0.8

Q23BQ23BQ23BQ23B # of transfers to specialized schools---totalVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

623

22.1

80454

623

14.7

MeanMeanMeanMean 7.0 3.1

Q25BQ25BQ25BQ25B Percent students limited English proficientVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

15.0

1.5

80454

100

18.0

MeanMeanMeanMean 8.0 9.5

Page 57

SSOCS 2004 Codebook (continued)

Q25CQ25CQ25CQ25C Percent special-education studentsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

7.6

80454

100

8.8

MeanMeanMeanMean 13.1 12.9

Q26AQ26AQ26AQ26A Percent students below 15th percentile standardized testsVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

14.8

80454

15.6

MeanMeanMeanMean 15.0 14.9

Q26BQ26BQ26BQ26B Percent students likely to go to collegeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

25.0

80454

100

26.0

MeanMeanMeanMean 55.6 52.6

Q26CQ26CQ26CQ26C Percent students academic achievement importantVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

23.2

80454

100

24.1

MeanMeanMeanMean 66.2 65.8

Page 58

SSOCS 2004 Codebook (continued)

Q27Q27Q27Q27 Typical number of classroom changesVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

580 2.1 3916.1 4.9

361 1.3 2420.6 3.0

1062 3.8 6512.0 8.1

1733 6.2 8299.3 10.3

4254 15.3 15854.2 19.7

3085 11.1 7913.5 9.8

5426 19.6 13478.0 16.8

5107 18.4 9416.7 11.7

3668 13.2 6952.5 8.6

1569 5.6 2810.7 3.5

6110 2.2 2030.4 2.5

811 0.3 238.7 0.3

412 0.1 128.5 0.2

313 0.1 52.9 0.1

414 0.1 91.9 0.1

316 0.1 30.8 0.0

117 0.0 16.4 0.0

218 0.1 89.1 0.1

620 0.2 202.1 0.3

2772 80454.2100.0 100.0

Q28A1Q28A1Q28A1Q28A1 # of paid full-time special-ed teacherVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

5.0

80454

3.9

MeanMeanMeanMean 6.4 4.4

Page 59

SSOCS 2004 Codebook (continued)

Q28A2Q28A2Q28A2Q28A2 # of paid part-time special-ed teacherVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19000 68.5 51803.6 64.4

6061 21.9 20780.6 25.8

1782 6.4 4848.3 6.0

533 1.9 1966.0 2.4

154 0.5 505.5 0.6

85 0.3 291.2 0.4

36 0.1 19.6 0.0

37 0.1 128.7 0.2

18 0.0 21.0 0.0

19 0.0 5.8 0.0

110 0.0 9.1 0.0

111 0.0 54.5 0.1

115 0.0 6.0 0.0

123 0.0 14.3 0.0

2772 80454.2100.0 100.0

Q28B1Q28B1Q28B1Q28B1 # of paid full-time special-ed aidesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

6.3

80454

5.7

MeanMeanMeanMean 5.3 4.2

Q28B2Q28B2Q28B2Q28B2 # of paid part-time special-ed aidesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2.7

80454

2.8

MeanMeanMeanMean 0.9 0.9

Page 60

SSOCS 2004 Codebook (continued)

Q28E1Q28E1Q28E1Q28E1 # of paid full-time counselorsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2620 9.5 16722.6 20.8

8701 31.4 37600.0 46.7

5662 20.4 13311.6 16.5

3583 12.9 5196.7 6.5

2424 8.7 2762.1 3.4

1435 5.2 1515.2 1.9

1276 4.6 1161.0 1.4

547 1.9 537.3 0.7

488 1.7 449.5 0.6

369 1.3 423.4 0.5

2410 0.9 242.0 0.3

811 0.3 71.9 0.1

1212 0.4 105.1 0.1

413 0.1 33.9 0.0

814 0.3 93.6 0.1

715 0.3 158.1 0.2

119 0.0 8.2 0.0

120 0.0 6.9 0.0

127 0.0 55.1 0.1

2772 80454.2100.0 100.0

Q28E2Q28E2Q28E2Q28E2 # of paid part-time counselorsVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

17590 63.5 49114.2 61.0

6971 25.1 24202.2 30.1

2062 7.4 5075.7 6.3

623 2.2 1321.5 1.6

294 1.0 426.3 0.5

115 0.4 88.0 0.1

36 0.1 35.1 0.0

17 0.0 9.1 0.0

38 0.1 75.4 0.1

115 0.0 106.7 0.1

2772 80454.2100.0 100.0

Page 61

SSOCS 2004 Codebook (continued)

Q29Q29Q29Q29 Crime where students liveVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1831 High level of crime 6.6 5841.5 7.3

5832 Moderate level of crime 21.0 15478.4 19.2

15883 Low level of crime 57.3 48461.9 60.2

4184 Students come from areas with very different

levels of crime

15.1 10672.3 13.3

2772 80454.2100.0 100.0

Q30Q30Q30Q30 Crime where school locatedVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

1621 High level of crime 5.8 5054.9 6.3

5362 Moderate level of crime 19.3 14245.5 17.7

20743 Low level of crime 74.8 61153.8 76.0

2772 80454.2100.0 100.0

Q32Q32Q32Q32 Average percent daily attendanceVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

100

7.1

80454

100

8.7

MeanMeanMeanMean 93.6 93.8

Q33AQ33AQ33AQ33A # of students transferred to schoolVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

1000

94.7

43.5

80454

1000

69.9

MeanMeanMeanMean 75.4 53.3

Page 62

SSOCS 2004 Codebook (continued)

Q33BQ33BQ33BQ33B # of students transferred from schoolVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2456

121.2

80454

2456

83.1

MeanMeanMeanMean 77.4 50.8

Q34C_DDQ34C_DDQ34C_DDQ34C_DD Date questionnaire completedVariable Name:

Q34C_MMQ34C_MMQ34C_MMQ34C_MM Month questionnaire completedVariable Name:

Q34C_YYQ34C_YYQ34C_YYQ34C_YY Year questionnaire completedVariable Name:

CRISIS04CRISIS04CRISIS04CRISIS04 Number of types of crises covered in written plansVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

260 0.9 1245.7 1.5

791 2.8 3216.5 4.0

1832 6.6 7048.4 8.8

2913 10.5 8623.7 10.7

4894 17.6 13946.3 17.3

17045 61.5 46373.5 57.6

2772 80454.2100.0 100.0

Page 63

SSOCS 2004 Codebook (continued)

DISTOT04DISTOT04DISTOT04DISTOT04 Total number of disciplinary actions recordedVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2112

168.2

80454

2112

113.9

MeanMeanMeanMean 81.1 42.1

INCID04INCID04INCID04INCID04 Total number of incidents recordedVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2142

75.5

80454

2142

55.3

MeanMeanMeanMean 46.4 26.5

INCPOL04INCPOL04INCPOL04INCPOL04 Total number of incidents reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

519

37.9

80454

519

24.6

MeanMeanMeanMean 21.5 9.5

OTHACT04OTHACT04OTHACT04OTHACT04 Total 'other actions' for specified offensesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2005

149.2

80454

2005

101.7

MeanMeanMeanMean 62.0 33.9

Page 64

SSOCS 2004 Codebook (continued)

OUTSUS04OUTSUS04OUTSUS04OUTSUS04 Total OSS > 5 days but < the remainder of school for

specified offenses

Variable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

768

40.7

80454

768

24.6

MeanMeanMeanMean 14.2 6.0

PROBWK04PROBWK04PROBWK04PROBWK04 Number of types of problems that occur at least once a

week

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

15760 56.9 51764.2 64.3

5141 18.5 14569.2 18.1

3312 11.9 7606.9 9.5

1883 6.8 3694.3 4.6

894 3.2 1684.5 2.1

485 1.7 822.4 1.0

196 0.7 223.4 0.3

77 0.3 89.1 0.1

2772 80454.2100.0 100.0

REMOVL04REMOVL04REMOVL04REMOVL04 Total removals with no continuing school services for

specified offenses

Variable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

3.5

80454

2.7

MeanMeanMeanMean 0.7 0.4

Page 65

SSOCS 2004 Codebook (continued)

STRATA64STRATA64STRATA64STRATA64 Nesting VariableVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19111 <300, Primary, City 0.7 2038.1 2.5

25112 <300, Primary, Urban fringe 0.9 2667.0 3.3

16113 <300, Primary, Town 0.6 1616.7 2.0

58114 <300, Primary, Rural 2.1 6153.4 7.6

11121 <300, Middle, City 0.4 279.4 0.3

11122 <300, Middle, Urban fringe 0.4 340.9 0.4

19123 <300, Middle, Town 0.7 438.8 0.5

38124 <300, Middle, Rural 1.4 1093.1 1.4

9131 <300, High School, City 0.3 258.9 0.3

6132 <300, High School, Urban fringe 0.2 169.6 0.2

8133 <300, High School, Town 0.3 160.4 0.2

42134 <300, High School, Rural 1.5 1036.6 1.3

3141 <300, Combined, City 0.1 403.3 0.5

1142 <300, Combined, Urban fringe 0.0 127.0 0.2

25144 <300, Combined, Rural 0.9 2207.1 2.7

64211 300-499, Primary, City 2.3 5173.3 6.4

85212 300-499, Primary, Urban fringe 3.1 6247.4 7.8

40213 300-499, Primary, Town 1.4 2213.9 2.8

49214 300-499, Primary, Rural 1.8 3693.5 4.6

26221 300-499, Middle, City 0.9 391.9 0.5

45222 300-499, Middle, Urban fringe 1.6 944.6 1.2

41223 300-499, Middle, Town 1.5 790.8 1.0

48224 300-499, Middle, Rural 1.7 978.9 1.2

9231 300-499, High School, City 0.3 129.7 0.2

12232 300-499, High School, Urban fringe 0.4 248.2 0.3

25233 300-499, High School, Town 0.9 395.9 0.5

45234 300-499, High School, Rural 1.6 802.1 1.0

1241 300-499, Combined, City 0.0 78.4 0.1

2242 300-499, Combined, Urban fringe 0.1 163.0 0.2

3243 300-499, Combined, Town 0.1 180.7 0.2

14244 300-499, Combined, Rural 0.5 1090.0 1.4

98311 500-999, Primary, City 3.5 5674.1 7.1

Page 66

SSOCS 2004 Codebook (continued) 128312 500-999, Primary, Urban fringe 4.6 7506.6 9.3

19313 500-999, Primary, Town 0.7 1293.5 1.6

62314 500-999, Primary, Rural 2.2 3131.9 3.9

156321 500-999, Middle, City 5.6 1993.5 2.5

217322 500-999, Middle, Urban fringe 7.8 2996.9 3.7

57323 500-999, Middle, Town 2.1 956.4 1.2

74324 500-999, Middle, Rural 2.7 1114.8 1.4

28331 500-999, High School, City 1.0 325.1 0.4

80332 500-999, High School, Urban fringe 2.9 899.5 1.1

60333 500-999, High School, Town 2.2 762.9 0.9

66334 500-999, High School, Rural 2.4 777.2 1.0

3341 500-999, Combined, City 0.1 153.6 0.2

7342 500-999, Combined, Urban fringe 0.3 277.5 0.3

6343 500-999, Combined, Town 0.2 266.4 0.3

18344 500-999, Combined, Rural 0.6 876.8 1.1

16411 1,000+, Primary, City 0.6 691.1 0.9

10412 1,000+, Primary, Urban fringe 0.4 462.7 0.6

3414 1,000+, Primary, Rural 0.1 202.3 0.3

75421 1,000+, Middle, City 2.7 720.0 0.9

113422 1,000+, Middle, Urban fringe 4.1 1109.3 1.4

9423 1,000+, Middle, Town 0.3 75.4 0.1

29424 1,000+, Middle, Rural 1.0 268.2 0.3

206431 1,000+, High School, City 7.4 1640.5 2.0

278432 1,000+, High School, Urban fringe 10.0 2210.6 2.7

62433 1,000+, High School, Town 2.2 436.5 0.5

73434 1,000+, High School, Rural 2.6 575.1 0.7

4441 1,000+, Combined, City 0.1 107.7 0.1

8442 1,000+, Combined, Urban fringe 0.3 215.8 0.3

2443 1,000+, Combined, Town 0.1 57.0 0.1

5444 1,000+, Combined Rural 0.2 163.2 0.2

2772 80454.2100.0 100.0

Page 67

SSOCS 2004 Codebook (continued)

STUOFF04STUOFF04STUOFF04STUOFF04 Total students involved in specified offensesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2514

186.4

80454

2514

127.3

MeanMeanMeanMean 91.8 48.6

SVINC04SVINC04SVINC04SVINC04 Total number of serious violent incidents recordedVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

5.0

80454

3.3

MeanMeanMeanMean 1.2 0.7

SVPOL04SVPOL04SVPOL04SVPOL04 Total number of serious violent incidents reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

4.0

80454

2.4

MeanMeanMeanMean 0.9 0.4

TRANSF04TRANSF04TRANSF04TRANSF04 Total transfers to specialized schools for specified offensesVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

354

13.9

80454

354

8.9

MeanMeanMeanMean 4.2 1.7

Page 68

SSOCS 2004 Codebook (continued)

VIOINC04VIOINC04VIOINC04VIOINC04 Total number of violent incidents recordedVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

2139

63.8

80454

2139

48.2

MeanMeanMeanMean 30.6 19.3

VIOPOL04VIOPOL04VIOPOL04VIOPOL04 Total number of violent incidents reported to policeVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

505

24.0

80454

505

16.2

MeanMeanMeanMean 10.6 4.8

FR_CATMNFR_CATMNFR_CATMNFR_CATMN Recoded % minority student enrollment in school---based

on 03-04 SASS frame variable (School)

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

58-8 2.1 1691.7 2.1

5531 Less than 5 percent 19.9 17077.6 21.2

7042 5 to 20 percent 25.4 19732.5 24.5

6573 20 to 50 percent 23.7 17685.2 22.0

8004 50 percent or more 28.9 24267.2 30.2

2772 80454.2100.0 100.0

FR_LOC4FR_LOC4FR_LOC4FR_LOC4 Urbanicity---from 03-04 SASS frame variable (School)Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

7281 City 26.3 20058.4 24.9

10282 Urban Fringe 37.1 26586.4 33.0

3673 Town 13.2 9645.2 12.0

6494 Rural 23.4 24164.1 30.0

2772 80454.2100.0 100.0

Page 69

SSOCS 2004 Codebook (continued)

FR_LVELFR_LVELFR_LVELFR_LVEL School grades offered---based on 03-04 SASS frame

variables (School)

Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

6921 Elementary 25.0 48765.3 60.6

9692 Middle 35.0 14492.9 18.0

10093 Secondary 36.4 10828.6 13.5

1024 Combined 3.7 6367.4 7.9

2772 80454.2100.0 100.0

FR_SIZEFR_SIZEFR_SIZEFR_SIZE School size categories---from 03-04 SASS frame (School)Variable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

2911 < 300 10.5 18990.2 23.6

5092 300 - 499 18.4 23522.3 29.2

10793 500 - 999 38.9 29006.6 36.1

8934 1,000 + 32.2 8935.2 11.1

2772 80454.2100.0 100.0

FINALWGTFINALWGTFINALWGTFINALWGT Final weight for the sampleVariable Name:

NNNN

MinMinMinMin

MaxMaxMaxMax

StDevStDevStDevStDev

MedianMedianMedianMedian

UnweightedUnweightedUnweightedUnweighted WeightedWeightedWeightedWeightedContinuous Statistics:Continuous Statistics:Continuous Statistics:Continuous Statistics:

2772

3.8698093

134.44858

28.4

14.378707

MeanMeanMeanMean 29.0

REPWGT1REPWGT1REPWGT1REPWGT1 Jackknife replicate 1Variable Name:

REPWGT2REPWGT2REPWGT2REPWGT2 Jackknife replicate 2Variable Name:

Page 70

SSOCS 2004 Codebook (continued)

REPWGT3REPWGT3REPWGT3REPWGT3 Jackknife replicate 3Variable Name:

REPWGT4REPWGT4REPWGT4REPWGT4 Jackknife replicate 4Variable Name:

REPWGT5REPWGT5REPWGT5REPWGT5 Jackknife replicate 5Variable Name:

REPWGT6REPWGT6REPWGT6REPWGT6 Jackknife replicate 6Variable Name:

REPWGT7REPWGT7REPWGT7REPWGT7 Jackknife replicate 7Variable Name:

REPWGT8REPWGT8REPWGT8REPWGT8 Jackknife replicate 8Variable Name:

REPWGT9REPWGT9REPWGT9REPWGT9 Jackknife replicate 9Variable Name:

Page 71

SSOCS 2004 Codebook (continued)

REPWGT10REPWGT10REPWGT10REPWGT10 Jackknife replicate 10Variable Name:

REPWGT11REPWGT11REPWGT11REPWGT11 Jackknife replicate 11Variable Name:

REPWGT12REPWGT12REPWGT12REPWGT12 Jackknife replicate 12Variable Name:

REPWGT13REPWGT13REPWGT13REPWGT13 Jackknife replicate 13Variable Name:

REPWGT14REPWGT14REPWGT14REPWGT14 Jackknife replicate 14Variable Name:

REPWGT15REPWGT15REPWGT15REPWGT15 Jackknife replicate 15Variable Name:

REPWGT16REPWGT16REPWGT16REPWGT16 Jackknife replicate 16Variable Name:

Page 72

SSOCS 2004 Codebook (continued)

REPWGT17REPWGT17REPWGT17REPWGT17 Jackknife replicate 17Variable Name:

REPWGT18REPWGT18REPWGT18REPWGT18 Jackknife replicate 18Variable Name:

REPWGT19REPWGT19REPWGT19REPWGT19 Jackknife replicate 19Variable Name:

REPWGT20REPWGT20REPWGT20REPWGT20 Jackknife replicate 20Variable Name:

REPWGT21REPWGT21REPWGT21REPWGT21 Jackknife replicate 21Variable Name:

REPWGT22REPWGT22REPWGT22REPWGT22 Jackknife replicate 22Variable Name:

REPWGT23REPWGT23REPWGT23REPWGT23 Jackknife replicate 23Variable Name:

Page 73

SSOCS 2004 Codebook (continued)

REPWGT24REPWGT24REPWGT24REPWGT24 Jackknife replicate 24Variable Name:

REPWGT25REPWGT25REPWGT25REPWGT25 Jackknife replicate 25Variable Name:

REPWGT26REPWGT26REPWGT26REPWGT26 Jackknife replicate 26Variable Name:

REPWGT27REPWGT27REPWGT27REPWGT27 Jackknife replicate 27Variable Name:

REPWGT28REPWGT28REPWGT28REPWGT28 Jackknife replicate 28Variable Name:

REPWGT29REPWGT29REPWGT29REPWGT29 Jackknife replicate 29Variable Name:

REPWGT30REPWGT30REPWGT30REPWGT30 Jackknife replicate 30Variable Name:

Page 74

SSOCS 2004 Codebook (continued)

REPWGT31REPWGT31REPWGT31REPWGT31 Jackknife replicate 31Variable Name:

REPWGT32REPWGT32REPWGT32REPWGT32 Jackknife replicate 32Variable Name:

REPWGT33REPWGT33REPWGT33REPWGT33 Jackknife replicate 33Variable Name:

REPWGT34REPWGT34REPWGT34REPWGT34 Jackknife replicate 34Variable Name:

REPWGT35REPWGT35REPWGT35REPWGT35 Jackknife replicate 35Variable Name:

REPWGT36REPWGT36REPWGT36REPWGT36 Jackknife replicate 36Variable Name:

REPWGT37REPWGT37REPWGT37REPWGT37 Jackknife replicate 37Variable Name:

Page 75

SSOCS 2004 Codebook (continued)

REPWGT38REPWGT38REPWGT38REPWGT38 Jackknife replicate 38Variable Name:

REPWGT39REPWGT39REPWGT39REPWGT39 Jackknife replicate 39Variable Name:

REPWGT40REPWGT40REPWGT40REPWGT40 Jackknife replicate 40Variable Name:

REPWGT41REPWGT41REPWGT41REPWGT41 Jackknife replicate 41Variable Name:

REPWGT42REPWGT42REPWGT42REPWGT42 Jackknife replicate 42Variable Name:

REPWGT43REPWGT43REPWGT43REPWGT43 Jackknife replicate 43Variable Name:

REPWGT44REPWGT44REPWGT44REPWGT44 Jackknife replicate 44Variable Name:

Page 76

SSOCS 2004 Codebook (continued)

REPWGT45REPWGT45REPWGT45REPWGT45 Jackknife replicate 45Variable Name:

REPWGT46REPWGT46REPWGT46REPWGT46 Jackknife replicate 46Variable Name:

REPWGT47REPWGT47REPWGT47REPWGT47 Jackknife replicate 47Variable Name:

REPWGT48REPWGT48REPWGT48REPWGT48 Jackknife replicate 48Variable Name:

REPWGT49REPWGT49REPWGT49REPWGT49 Jackknife replicate 49Variable Name:

REPWGT50REPWGT50REPWGT50REPWGT50 Jackknife replicate 50Variable Name:

IQ1AIQ1AIQ1AIQ1A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27710 Value not imputed 100.0

15 Missing value imputed using Best-Match

procedure (perfect match)

0.0

2772 100.0

Page 77

SSOCS 2004 Codebook (continued)

IQ1BIQ1BIQ1BIQ1B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ1CIQ1CIQ1CIQ1C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27470 Value not imputed 99.1

235 Missing value imputed using Best-Match

procedure (perfect match)

0.8

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ1DIQ1DIQ1DIQ1D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27700 Value not imputed 99.9

25 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

IQ1EIQ1EIQ1EIQ1E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27700 Value not imputed 99.9

25 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

IQ1FIQ1FIQ1FIQ1F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27680 Value not imputed 99.9

45 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

Page 78

SSOCS 2004 Codebook (continued)

IQ1GIQ1GIQ1GIQ1G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27500 Value not imputed 99.2

225 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ1HIQ1HIQ1HIQ1H Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27630 Value not imputed 99.7

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ1IIQ1IIQ1IIQ1I Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27630 Value not imputed 99.7

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ1JIQ1JIQ1JIQ1J Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27630 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ1KIQ1KIQ1KIQ1K Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27540 Value not imputed 99.4

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

Page 79

SSOCS 2004 Codebook (continued)

IQ1LIQ1LIQ1LIQ1L Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ1MIQ1MIQ1MIQ1M Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27680 Value not imputed 99.9

35 Missing value imputed using Best-Match

procedure (perfect match)

0.1

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ1NIQ1NIQ1NIQ1N Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ1OIQ1OIQ1OIQ1O Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27680 Value not imputed 99.9

45 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

IQ1PIQ1PIQ1PIQ1P Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27680 Value not imputed 99.9

15 Missing value imputed using Best-Match

procedure (perfect match)

0.0

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 80

SSOCS 2004 Codebook (continued)

IQ1QIQ1QIQ1QIQ1Q Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27700 Value not imputed 99.9

25 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

IQ1RIQ1RIQ1RIQ1R Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

55 Missing value imputed using Best-Match

procedure (perfect match)

0.2

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ1SIQ1SIQ1SIQ1S Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27670 Value not imputed 99.8

45 Missing value imputed using Best-Match

procedure (perfect match)

0.1

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ1TIQ1TIQ1TIQ1T Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27680 Value not imputed 99.9

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 81

SSOCS 2004 Codebook (continued)

IQ1UIQ1UIQ1UIQ1U Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ1VIQ1VIQ1VIQ1V Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27710 Value not imputed 100.0

15 Missing value imputed using Best-Match

procedure (perfect match)

0.0

2772 100.0

IQ2A1IQ2A1IQ2A1IQ2A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ2A2IQ2A2IQ2A2IQ2A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26820 Value not imputed 96.8

795 Missing value imputed using Best-Match

procedure (perfect match)

2.8

116 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.4

2772 100.0

Page 82

SSOCS 2004 Codebook (continued)

IQ2B1IQ2B1IQ2B1IQ2B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

75 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ2B2IQ2B2IQ2B2IQ2B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26940 Value not imputed 97.2

765 Missing value imputed using Best-Match

procedure (perfect match)

2.7

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ2C1IQ2C1IQ2C1IQ2C1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27440 Value not imputed 99.0

265 Missing value imputed using Best-Match

procedure (perfect match)

0.9

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ2C2IQ2C2IQ2C2IQ2C2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26670 Value not imputed 96.2

925 Missing value imputed using Best-Match

procedure (perfect match)

3.3

136 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.5

2772 100.0

Page 83

SSOCS 2004 Codebook (continued)

IQ2D1IQ2D1IQ2D1IQ2D1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ2D2IQ2D2IQ2D2IQ2D2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26680 Value not imputed 96.2

1035 Missing value imputed using Best-Match

procedure (perfect match)

3.7

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ2E1IQ2E1IQ2E1IQ2E1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

135 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

IQ2E2IQ2E2IQ2E2IQ2E2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26780 Value not imputed 96.6

855 Missing value imputed using Best-Match

procedure (perfect match)

3.1

96 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.3

2772 100.0

IQ3AIQ3AIQ3AIQ3A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

Page 84

SSOCS 2004 Codebook (continued)

IQ3BIQ3BIQ3BIQ3B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

IQ3CIQ3CIQ3CIQ3C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ3DIQ3DIQ3DIQ3D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ3EIQ3EIQ3EIQ3E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ3FIQ3FIQ3FIQ3F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

Page 85

SSOCS 2004 Codebook (continued)

IQ3GIQ3GIQ3GIQ3G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ3HIQ3HIQ3HIQ3H Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27580 Value not imputed 99.5

55 Missing value imputed using Best-Match

procedure (perfect match)

0.2

96 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.3

2772 100.0

IQ4AIQ4AIQ4AIQ4A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27600 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ4BIQ4BIQ4BIQ4B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27600 Value not imputed 99.6

125 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

Page 86

SSOCS 2004 Codebook (continued)

IQ4CIQ4CIQ4CIQ4C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ5AIQ5AIQ5AIQ5A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

IQ5BIQ5BIQ5BIQ5B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

IQ5CIQ5CIQ5CIQ5C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

75 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ5DIQ5DIQ5DIQ5D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27670 Value not imputed 99.8

55 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

Page 87

SSOCS 2004 Codebook (continued)

IQ6AIQ6AIQ6AIQ6A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

165 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

IQ6BIQ6BIQ6BIQ6B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27570 Value not imputed 99.5

155 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

IQ6CIQ6CIQ6CIQ6C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27460 Value not imputed 99.1

265 Missing value imputed using Best-Match

procedure (perfect match)

0.9

2772 100.0

IQ6DIQ6DIQ6DIQ6D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

165 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

IQ6EIQ6EIQ6EIQ6E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

205 Missing value imputed using Best-Match

procedure (perfect match)

0.7

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

Page 88

SSOCS 2004 Codebook (continued)

IQ6FIQ6FIQ6FIQ6F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27490 Value not imputed 99.2

235 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ6GIQ6GIQ6GIQ6G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27450 Value not imputed 99.0

275 Missing value imputed using Best-Match

procedure (perfect match)

1.0

2772 100.0

IQ6HIQ6HIQ6HIQ6H Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27500 Value not imputed 99.2

225 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ7IQ7IQ7IQ7 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27700 Value not imputed 99.9

25 Missing value imputed using Best-Match

procedure (perfect match)

0.1

2772 100.0

IQ8AIQ8AIQ8AIQ8A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27570 Value not imputed 99.5

155 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

Page 89

SSOCS 2004 Codebook (continued)

IQ8BIQ8BIQ8BIQ8B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27410 Value not imputed 98.9

285 Missing value imputed using Best-Match

procedure (perfect match)

1.0

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ8CIQ8CIQ8CIQ8C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27490 Value not imputed 99.2

235 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ8DIQ8DIQ8DIQ8D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27350 Value not imputed 98.7

375 Missing value imputed using Best-Match

procedure (perfect match)

1.3

2772 100.0

IQ8EIQ8EIQ8EIQ8E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27720 Value not imputed 100.0

2772 100.0

IQ9A1IQ9A1IQ9A1IQ9A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25770 Value not imputed 93.0

13810 Zeroes imputed based on % observed in the

donor class

5.0

5711 Values found using average ratio from 5

donors

2.1

2772 100.0

Page 90

SSOCS 2004 Codebook (continued)

IQ9A2IQ9A2IQ9A2IQ9A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22890 Value not imputed 82.6

39310 Zeroes imputed based on % observed in the

donor class

14.2

9011 Values found using average ratio from 5

donors

3.2

2772 100.0

IQ9B1IQ9B1IQ9B1IQ9B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25540 Value not imputed 92.1

12310 Zeroes imputed based on % observed in the

donor class

4.4

9511 Values found using average ratio from 5

donors

3.4

2772 100.0

IQ9B2IQ9B2IQ9B2IQ9B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22800 Value not imputed 82.3

33710 Zeroes imputed based on % observed in the

donor class

12.2

15511 Values found using average ratio from 5

donors

5.6

2772 100.0

IQ9C1IQ9C1IQ9C1IQ9C1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24980 Value not imputed 90.1

26510 Zeroes imputed based on % observed in the

donor class

9.6

911 Values found using average ratio from 5

donors

0.3

2772 100.0

Page 91

SSOCS 2004 Codebook (continued)

IQ9C2IQ9C2IQ9C2IQ9C2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

22960 Value not imputed 82.8

42910 Zeroes imputed based on % observed in the

donor class

15.5

4711 Values found using average ratio from 5

donors

1.7

2772 100.0

IQ10AIQ10AIQ10AIQ10A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

115 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ10BIQ10BIQ10BIQ10B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

135 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

IQ11AIQ11AIQ11AIQ11A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

135 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

IQ11BIQ11BIQ11BIQ11B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

125 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

Page 92

SSOCS 2004 Codebook (continued)

IQ11CIQ11CIQ11CIQ11C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

155 Missing value imputed using Best-Match

procedure (perfect match)

0.5

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ11DIQ11DIQ11DIQ11D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ11EIQ11EIQ11EIQ11E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27570 Value not imputed 99.5

145 Missing value imputed using Best-Match

procedure (perfect match)

0.5

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ11FIQ11FIQ11FIQ11F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27580 Value not imputed 99.5

145 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

Page 93

SSOCS 2004 Codebook (continued)

IQ11GIQ11GIQ11GIQ11G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27580 Value not imputed 99.5

145 Missing value imputed using Best-Match

procedure (perfect match)

0.5

2772 100.0

IQ12AIQ12AIQ12AIQ12A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ12BIQ12BIQ12BIQ12B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27630 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ12CIQ12CIQ12CIQ12C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27630 Value not imputed 99.7

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

Page 94

SSOCS 2004 Codebook (continued)

IQ12DIQ12DIQ12DIQ12D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

125 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ12EIQ12EIQ12EIQ12E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ12FIQ12FIQ12FIQ12F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

115 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ14AIQ14AIQ14AIQ14A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27520 Value not imputed 99.3

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 95

SSOCS 2004 Codebook (continued)

IQ14BIQ14BIQ14BIQ14B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27520 Value not imputed 99.3

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ14CIQ14CIQ14CIQ14C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

205 Missing value imputed using Best-Match

procedure (perfect match)

0.7

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ14DIQ14DIQ14DIQ14D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27530 Value not imputed 99.3

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ14EIQ14EIQ14EIQ14E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27530 Value not imputed 99.3

195 Missing value imputed using Best-Match

procedure (perfect match)

0.7

2772 100.0

Page 96

SSOCS 2004 Codebook (continued)

IQ14FIQ14FIQ14FIQ14F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

165 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

IQ14GIQ14GIQ14GIQ14G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27540 Value not imputed 99.4

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

IQ14HIQ14HIQ14HIQ14H Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27480 Value not imputed 99.1

205 Missing value imputed using Best-Match

procedure (perfect match)

0.7

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ14IIQ14IIQ14IIQ14I Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27520 Value not imputed 99.3

195 Missing value imputed using Best-Match

procedure (perfect match)

0.7

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ14JIQ14JIQ14JIQ14J Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27540 Value not imputed 99.4

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

2772 100.0

Page 97

SSOCS 2004 Codebook (continued)

IQ14KIQ14KIQ14KIQ14K Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

205 Missing value imputed using Best-Match

procedure (perfect match)

0.7

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ14LIQ14LIQ14LIQ14L Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

215 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ14MIQ14MIQ14MIQ14M Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27500 Value not imputed 99.2

225 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ15IQ15IQ15IQ15 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27690 Value not imputed 99.9

32 Missing value logically imputed to = yes/no 0.1

2772 100.0

IQ16IQ16IQ16IQ16 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27690 Value not imputed 99.9

32 Missing value logically imputed to = yes/no 0.1

2772 100.0

Page 98

SSOCS 2004 Codebook (continued)

IQ17A1IQ17A1IQ17A1IQ17A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27490 Value not imputed 99.2

1910 Zeroes imputed based on % observed in the

donor class

0.7

411 Values found using average ratio from 5

donors

0.1

2772 100.0

IQ17A2IQ17A2IQ17A2IQ17A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27530 Value not imputed 99.3

1910 Zeroes imputed based on % observed in the

donor class

0.7

2772 100.0

IQ17B1IQ17B1IQ17B1IQ17B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 Value not imputed 98.8

2710 Zeroes imputed based on % observed in the

donor class

1.0

511 Values found using average ratio from 5

donors

0.2

2772 100.0

IQ17B2IQ17B2IQ17B2IQ17B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27380 Value not imputed 98.8

2710 Zeroes imputed based on % observed in the

donor class

1.0

711 Values found using average ratio from 5

donors

0.3

2772 100.0

Page 99

SSOCS 2004 Codebook (continued)

IQ17C1_1IQ17C1_1IQ17C1_1IQ17C1_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 Value not imputed 98.8

3010 Zeroes imputed based on % observed in the

donor class

1.1

211 Values found using average ratio from 5

donors

0.1

2772 100.0

IQ17C1_2IQ17C1_2IQ17C1_2IQ17C1_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 Value not imputed 98.8

3010 Zeroes imputed based on % observed in the

donor class

1.1

211 Values found using average ratio from 5

donors

0.1

2772 100.0

IQ17C2_1IQ17C2_1IQ17C2_1IQ17C2_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26500 Value not imputed 95.6

10710 Zeroes imputed based on % observed in the

donor class

3.9

1511 Values found using average ratio from 5

donors

0.5

2772 100.0

IQ17C2_2IQ17C2_2IQ17C2_2IQ17C2_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26520 Value not imputed 95.7

10110 Zeroes imputed based on % observed in the

donor class

3.6

1911 Values found using average ratio from 5

donors

0.7

2772 100.0

Page 100

SSOCS 2004 Codebook (continued)

IQ17D1_1IQ17D1_1IQ17D1_1IQ17D1_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24160 Value not imputed 87.2

33910 Zeroes imputed based on % observed in the

donor class

12.2

1711 Values found using average ratio from 5

donors

0.6

2772 100.0

IQ17D1_2IQ17D1_2IQ17D1_2IQ17D1_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24130 Value not imputed 87.0

34210 Zeroes imputed based on % observed in the

donor class

12.3

1711 Values found using average ratio from 5

donors

0.6

2772 100.0

IQ17D2_1IQ17D2_1IQ17D2_1IQ17D2_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

23610 Value not imputed 85.2

1710 Zeroes imputed based on % observed in the

donor class

0.6

39411 Values found using average ratio from 5

donors

14.2

2772 100.0

IQ17D2_2IQ17D2_2IQ17D2_2IQ17D2_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

21560 Value not imputed 77.8

22210 Zeroes imputed based on % observed in the

donor class

8.0

39411 Values found using average ratio from 5

donors

14.2

2772 100.0

Page 101

SSOCS 2004 Codebook (continued)

IQ17E1_1IQ17E1_1IQ17E1_1IQ17E1_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26850 Value not imputed 96.9

8010 Zeroes imputed based on % observed in the

donor class

2.9

711 Values found using average ratio from 5

donors

0.3

2772 100.0

IQ17E1_2IQ17E1_2IQ17E1_2IQ17E1_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26690 Value not imputed 96.3

7610 Zeroes imputed based on % observed in the

donor class

2.7

2711 Values found using average ratio from 5

donors

1.0

2772 100.0

IQ17E2_1IQ17E2_1IQ17E2_1IQ17E2_1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26120 Value not imputed 94.2

5410 Zeroes imputed based on % observed in the

donor class

1.9

10611 Values found using average ratio from 5

donors

3.8

2772 100.0

IQ17E2_2IQ17E2_2IQ17E2_2IQ17E2_2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24320 Value not imputed 87.7

10010 Zeroes imputed based on % observed in the

donor class

3.6

24011 Values found using average ratio from 5

donors

8.7

2772 100.0

Page 102

SSOCS 2004 Codebook (continued)

IQ17F1IQ17F1IQ17F1IQ17F1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26850 Value not imputed 96.9

1910 Zeroes imputed based on % observed in the

donor class

0.7

6811 Values found using average ratio from 5

donors

2.5

2772 100.0

IQ17F2IQ17F2IQ17F2IQ17F2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25160 Value not imputed 90.8

3510 Zeroes imputed based on % observed in the

donor class

1.3

22111 Values found using average ratio from 5

donors

8.0

2772 100.0

IQ17G1IQ17G1IQ17G1IQ17G1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26880 Value not imputed 97.0

2810 Zeroes imputed based on % observed in the

donor class

1.0

5611 Values found using average ratio from 5

donors

2.0

2772 100.0

IQ17G2IQ17G2IQ17G2IQ17G2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26760 Value not imputed 96.5

2910 Zeroes imputed based on % observed in the

donor class

1.0

6711 Values found using average ratio from 5

donors

2.4

2772 100.0

Page 103

SSOCS 2004 Codebook (continued)

IQ17H1IQ17H1IQ17H1IQ17H1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27240 Value not imputed 98.3

2710 Zeroes imputed based on % observed in the

donor class

1.0

2111 Values found using average ratio from 5

donors

0.8

2772 100.0

IQ17H2IQ17H2IQ17H2IQ17H2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26780 Value not imputed 96.6

2910 Zeroes imputed based on % observed in the

donor class

1.0

6511 Values found using average ratio from 5

donors

2.3

2772 100.0

IQ17I1IQ17I1IQ17I1IQ17I1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27220 Value not imputed 98.2

2610 Zeroes imputed based on % observed in the

donor class

0.9

2411 Values found using average ratio from 5

donors

0.9

2772 100.0

IQ17I2IQ17I2IQ17I2IQ17I2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26740 Value not imputed 96.5

2510 Zeroes imputed based on % observed in the

donor class

0.9

7311 Values found using average ratio from 5

donors

2.6

2772 100.0

Page 104

SSOCS 2004 Codebook (continued)

IQ17J1IQ17J1IQ17J1IQ17J1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26260 Value not imputed 94.7

810 Zeroes imputed based on % observed in the

donor class

0.3

13811 Values found using average ratio from 5

donors

5.0

2772 100.0

IQ17J2IQ17J2IQ17J2IQ17J2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25240 Value not imputed 91.1

1610 Zeroes imputed based on % observed in the

donor class

0.6

23211 Values found using average ratio from 5

donors

8.4

2772 100.0

IQ17K1IQ17K1IQ17K1IQ17K1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26950 Value not imputed 97.2

1810 Zeroes imputed based on % observed in the

donor class

0.6

5911 Values found using average ratio from 5

donors

2.1

2772 100.0

IQ17K2IQ17K2IQ17K2IQ17K2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25360 Value not imputed 91.5

3410 Zeroes imputed based on % observed in the

donor class

1.2

20211 Values found using average ratio from 5

donors

7.3

2772 100.0

Page 105

SSOCS 2004 Codebook (continued)

IQ18AIQ18AIQ18AIQ18A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

2010 Zeroes imputed based on % observed in the

donor class

0.7

111 Values found using average ratio from 5

donors

0.0

2772 100.0

IQ18BIQ18BIQ18BIQ18B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27460 Value not imputed 99.1

2410 Zeroes imputed based on % observed in the

donor class

0.9

211 Values found using average ratio from 5

donors

0.1

2772 100.0

IQ19IQ19IQ19IQ19 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27300 Value not imputed 98.5

375 Missing value imputed using Best-Match

procedure (perfect match)

1.3

56 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

2772 100.0

IQ20AIQ20AIQ20AIQ20A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

165 Missing value imputed using Best-Match

procedure (perfect match)

0.6

56 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

2772 100.0

Page 106

SSOCS 2004 Codebook (continued)

IQ20BIQ20BIQ20BIQ20B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ20CIQ20CIQ20CIQ20C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27610 Value not imputed 99.6

115 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ20DIQ20DIQ20DIQ20D Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ20EIQ20EIQ20EIQ20E Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 107

SSOCS 2004 Codebook (continued)

IQ20FIQ20FIQ20FIQ20F Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ20GIQ20GIQ20GIQ20G Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

2772 100.0

IQ20HIQ20HIQ20HIQ20H Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27670 Value not imputed 99.8

55 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

IQ21A1IQ21A1IQ21A1IQ21A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27600 Value not imputed 99.6

115 Missing value imputed using Best-Match

procedure (perfect match)

0.4

117 Missing value was imputed from an imputed

value

0.0

2772 100.0

IQ21A2IQ21A2IQ21A2IQ21A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

215 Original value was deleted and imputed

based on an imputed value

0.1

417 Missing value was imputed from an imputed

value

0.1

2772 100.0

Page 108

SSOCS 2004 Codebook (continued)

IQ21B1IQ21B1IQ21B1IQ21B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27510 Value not imputed 99.2

215 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ21B2IQ21B2IQ21B2IQ21B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27120 Value not imputed 97.8

605 Missing value imputed using Best-Match

procedure (perfect match)

2.2

2772 100.0

IQ21C1IQ21C1IQ21C1IQ21C1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

75 Missing value imputed using Best-Match

procedure (perfect match)

0.3

56 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

117 Missing value was imputed from an imputed

value

0.0

2772 100.0

IQ21C2IQ21C2IQ21C2IQ21C2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27640 Value not imputed 99.7

415 Original value was deleted and imputed

based on an imputed value

0.1

417 Missing value was imputed from an imputed

value

0.1

2772 100.0

Page 109

SSOCS 2004 Codebook (continued)

IQ21D1IQ21D1IQ21D1IQ21D1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27380 Value not imputed 98.8

295 Missing value imputed using Best-Match

procedure (perfect match)

1.0

56 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

2772 100.0

IQ21D2IQ21D2IQ21D2IQ21D2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27150 Value not imputed 97.9

465 Missing value imputed using Best-Match

procedure (perfect match)

1.7

116 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.4

2772 100.0

IQ21E1IQ21E1IQ21E1IQ21E1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

35 Missing value imputed using Best-Match

procedure (perfect match)

0.1

417 Missing value was imputed from an imputed

value

0.1

2772 100.0

IQ21E2IQ21E2IQ21E2IQ21E2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27440 Value not imputed 99.0

95 Missing value imputed using Best-Match

procedure (perfect match)

0.3

116 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.4

817 Missing value was imputed from an imputed

value

0.3

2772 100.0

Page 110

SSOCS 2004 Codebook (continued)

IQ21F1IQ21F1IQ21F1IQ21F1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

155 Missing value imputed using Best-Match

procedure (perfect match)

0.5

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ21F2IQ21F2IQ21F2IQ21F2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26970 Value not imputed 97.3

525 Missing value imputed using Best-Match

procedure (perfect match)

1.9

236 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.8

2772 100.0

IQ21G1IQ21G1IQ21G1IQ21G1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27520 Value not imputed 99.3

205 Missing value imputed using Best-Match

procedure (perfect match)

0.7

2772 100.0

IQ21G2IQ21G2IQ21G2IQ21G2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 Value not imputed 98.8

315 Missing value imputed using Best-Match

procedure (perfect match)

1.1

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

Page 111

SSOCS 2004 Codebook (continued)

IQ21H1IQ21H1IQ21H1IQ21H1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27530 Value not imputed 99.3

185 Missing value imputed using Best-Match

procedure (perfect match)

0.6

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ21H2IQ21H2IQ21H2IQ21H2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26700 Value not imputed 96.3

1005 Missing value imputed using Best-Match

procedure (perfect match)

3.6

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21I1IQ21I1IQ21I1IQ21I1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27590 Value not imputed 99.5

125 Missing value imputed using Best-Match

procedure (perfect match)

0.4

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

2772 100.0

IQ21I2IQ21I2IQ21I2IQ21I2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26660 Value not imputed 96.2

1025 Missing value imputed using Best-Match

procedure (perfect match)

3.7

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 112

SSOCS 2004 Codebook (continued)

IQ21J1IQ21J1IQ21J1IQ21J1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27500 Value not imputed 99.2

175 Missing value imputed using Best-Match

procedure (perfect match)

0.6

56 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

2772 100.0

IQ21J2IQ21J2IQ21J2IQ21J2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26980 Value not imputed 97.3

375 Missing value imputed using Best-Match

procedure (perfect match)

1.3

376 Missing value imputed using Best-Match

procedure (relaxed criteria)

1.3

2772 100.0

IQ21K1IQ21K1IQ21K1IQ21K1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27490 Value not imputed 99.2

195 Missing value imputed using Best-Match

procedure (perfect match)

0.7

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21K2IQ21K2IQ21K2IQ21K2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27200 Value not imputed 98.1

385 Missing value imputed using Best-Match

procedure (perfect match)

1.4

146 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.5

2772 100.0

Page 113

SSOCS 2004 Codebook (continued)

IQ21L1IQ21L1IQ21L1IQ21L1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

105 Missing value imputed using Best-Match

procedure (perfect match)

0.4

66 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.2

2772 100.0

IQ21L2IQ21L2IQ21L2IQ21L2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26830 Value not imputed 96.8

465 Missing value imputed using Best-Match

procedure (perfect match)

1.7

436 Missing value imputed using Best-Match

procedure (relaxed criteria)

1.6

2772 100.0

IQ21M1IQ21M1IQ21M1IQ21M1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27580 Value not imputed 99.5

115 Missing value imputed using Best-Match

procedure (perfect match)

0.4

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21M2IQ21M2IQ21M2IQ21M2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27480 Value not imputed 99.1

165 Missing value imputed using Best-Match

procedure (perfect match)

0.6

86 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.3

2772 100.0

Page 114

SSOCS 2004 Codebook (continued)

IQ21N1IQ21N1IQ21N1IQ21N1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27490 Value not imputed 99.2

235 Missing value imputed using Best-Match

procedure (perfect match)

0.8

2772 100.0

IQ21N2IQ21N2IQ21N2IQ21N2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26890 Value not imputed 97.0

805 Missing value imputed using Best-Match

procedure (perfect match)

2.9

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21O1IQ21O1IQ21O1IQ21O1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27620 Value not imputed 99.6

85 Missing value imputed using Best-Match

procedure (perfect match)

0.3

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21O2IQ21O2IQ21O2IQ21O2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26980 Value not imputed 97.3

705 Missing value imputed using Best-Match

procedure (perfect match)

2.5

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 115

SSOCS 2004 Codebook (continued)

IQ21P1IQ21P1IQ21P1IQ21P1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

75 Missing value imputed using Best-Match

procedure (perfect match)

0.3

2772 100.0

IQ21P2IQ21P2IQ21P2IQ21P2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26820 Value not imputed 96.8

875 Missing value imputed using Best-Match

procedure (perfect match)

3.1

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21Q1IQ21Q1IQ21Q1IQ21Q1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

125 Missing value imputed using Best-Match

procedure (perfect match)

0.4

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ21Q2IQ21Q2IQ21Q2IQ21Q2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27250 Value not imputed 98.3

215 Missing value imputed using Best-Match

procedure (perfect match)

0.8

266 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.9

2772 100.0

Page 116

SSOCS 2004 Codebook (continued)

IQ22A1IQ22A1IQ22A1IQ22A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27310 Value not imputed 98.5

918 Values found by finding average values

within an entire imputation class

0.3

3221 Values imputed from non-imputed Q22

column 2 - column 5 values

1.2

2772 100.0

IQ22A2IQ22A2IQ22A2IQ22A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27600 Value not imputed 99.6

514 Values found by taking average ratio from an

entire imputation class

0.2

419 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

320 Values imputed from non-imputed Q22

column 1 values

0.1

2772 100.0

IQ22A3IQ22A3IQ22A3IQ22A3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27560 Value not imputed 99.4

714 Values found by taking average ratio from an

entire imputation class

0.3

219 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

320 Values imputed from non-imputed Q22

column 1 values

0.1

121 Values imputed from non-imputed Q22

column 2 - column 5 values

0.0

322 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

Page 117

SSOCS 2004 Codebook (continued)

IQ22A4IQ22A4IQ22A4IQ22A4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27600 Value not imputed 99.6

314 Values found by taking average ratio from an

entire imputation class

0.1

519 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.2

220 Values imputed from non-imputed Q22

column 1 values

0.1

221 Values imputed from non-imputed Q22

column 2 - column 5 values

0.1

2772 100.0

IQ22A5IQ22A5IQ22A5IQ22A5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27440 Value not imputed 99.0

914 Values found by taking average ratio from an

entire imputation class

0.3

719 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.3

520 Values imputed from non-imputed Q22

column 1 values

0.2

721 Values imputed from non-imputed Q22

column 2 - column 5 values

0.3

2772 100.0

IQ22B1IQ22B1IQ22B1IQ22B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26150 Value not imputed 94.3

5618 Values found by finding average values

within an entire imputation class

2.0

10121 Values imputed from non-imputed Q22

column 2 - column 5 values

3.6

2772 100.0

Page 118

SSOCS 2004 Codebook (continued)

IQ22B2IQ22B2IQ22B2IQ22B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27390 Value not imputed 98.8

1914 Values found by taking average ratio from an

entire imputation class

0.7

419 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

520 Values imputed from non-imputed Q22

column 1 values

0.2

321 Values imputed from non-imputed Q22

column 2 - column 5 values

0.1

222 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

IQ22B3IQ22B3IQ22B3IQ22B3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27140 Value not imputed 97.9

3014 Values found by taking average ratio from an

entire imputation class

1.1

219 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

820 Values imputed from non-imputed Q22

column 1 values

0.3

121 Values imputed from non-imputed Q22

column 2 - column 5 values

0.0

1722 Values adjusted downward to maintain

relationship between Q22 and Q23

0.6

2772 100.0

Page 119

SSOCS 2004 Codebook (continued)

IQ22B4IQ22B4IQ22B4IQ22B4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27150 Value not imputed 97.9

3214 Values found by taking average ratio from an

entire imputation class

1.2

819 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.3

1220 Values imputed from non-imputed Q22

column 1 values

0.4

521 Values imputed from non-imputed Q22

column 2 - column 5 values

0.2

2772 100.0

IQ22B5IQ22B5IQ22B5IQ22B5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26600 Value not imputed 96.0

5414 Values found by taking average ratio from an

entire imputation class

1.9

1519 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.5

2420 Values imputed from non-imputed Q22

column 1 values

0.9

1921 Values imputed from non-imputed Q22

column 2 - column 5 values

0.7

2772 100.0

IQ22C1IQ22C1IQ22C1IQ22C1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25880 Value not imputed 93.4

4418 Values found by finding average values

within an entire imputation class

1.6

14021 Values imputed from non-imputed Q22

column 2 - column 5 values

5.1

2772 100.0

Page 120

SSOCS 2004 Codebook (continued)

IQ22C2IQ22C2IQ22C2IQ22C2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27320 Value not imputed 98.6

1314 Values found by taking average ratio from an

entire imputation class

0.5

319 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

2020 Values imputed from non-imputed Q22

column 1 values

0.7

121 Values imputed from non-imputed Q22

column 2 - column 5 values

0.0

322 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

IQ22C3IQ22C3IQ22C3IQ22C3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26920 Value not imputed 97.1

2614 Values found by taking average ratio from an

entire imputation class

0.9

619 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.2

2120 Values imputed from non-imputed Q22

column 1 values

0.8

121 Values imputed from non-imputed Q22

column 2 - column 5 values

0.0

2622 Values adjusted downward to maintain

relationship between Q22 and Q23

0.9

2772 100.0

Page 121

SSOCS 2004 Codebook (continued)

IQ22C4IQ22C4IQ22C4IQ22C4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26970 Value not imputed 97.3

2514 Values found by taking average ratio from an

entire imputation class

0.9

619 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.2

3620 Values imputed from non-imputed Q22

column 1 values

1.3

821 Values imputed from non-imputed Q22

column 2 - column 5 values

0.3

2772 100.0

IQ22C5IQ22C5IQ22C5IQ22C5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26240 Value not imputed 94.7

4414 Values found by taking average ratio from an

entire imputation class

1.6

1919 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.7

6120 Values imputed from non-imputed Q22

column 1 values

2.2

2421 Values imputed from non-imputed Q22

column 2 - column 5 values

0.9

2772 100.0

IQ22D1IQ22D1IQ22D1IQ22D1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26740 Value not imputed 96.5

5518 Values found by finding average values

within an entire imputation class

2.0

4321 Values imputed from non-imputed Q22

column 2 - column 5 values

1.6

2772 100.0

Page 122

SSOCS 2004 Codebook (continued)

IQ22D2IQ22D2IQ22D2IQ22D2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27400 Value not imputed 98.8

1414 Values found by taking average ratio from an

entire imputation class

0.5

219 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

1320 Values imputed from non-imputed Q22

column 1 values

0.5

121 Values imputed from non-imputed Q22

column 2 - column 5 values

0.0

222 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

IQ22D3IQ22D3IQ22D3IQ22D3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27040 Value not imputed 97.5

3114 Values found by taking average ratio from an

entire imputation class

1.1

319 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

1320 Values imputed from non-imputed Q22

column 1 values

0.5

321 Values imputed from non-imputed Q22

column 2 - column 5 values

0.1

1822 Values adjusted downward to maintain

relationship between Q22 and Q23

0.6

2772 100.0

Page 123

SSOCS 2004 Codebook (continued)

IQ22D4IQ22D4IQ22D4IQ22D4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27080 Value not imputed 97.7

3214 Values found by taking average ratio from an

entire imputation class

1.2

819 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.3

1920 Values imputed from non-imputed Q22

column 1 values

0.7

521 Values imputed from non-imputed Q22

column 2 - column 5 values

0.2

2772 100.0

IQ22D5IQ22D5IQ22D5IQ22D5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26540 Value not imputed 95.7

5514 Values found by taking average ratio from an

entire imputation class

2.0

1319 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.5

3520 Values imputed from non-imputed Q22

column 1 values

1.3

1521 Values imputed from non-imputed Q22

column 2 - column 5 values

0.5

2772 100.0

IQ22E1IQ22E1IQ22E1IQ22E1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25420 Value not imputed 91.7

6018 Values found by finding average values

within an entire imputation class

2.2

17021 Values imputed from non-imputed Q22

column 2 - column 5 values

6.1

2772 100.0

Page 124

SSOCS 2004 Codebook (continued)

IQ22E2IQ22E2IQ22E2IQ22E2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27150 Value not imputed 97.9

1614 Values found by taking average ratio from an

entire imputation class

0.6

119 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.0

3220 Values imputed from non-imputed Q22

column 1 values

1.2

421 Values imputed from non-imputed Q22

column 2 - column 5 values

0.1

422 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

IQ22E3IQ22E3IQ22E3IQ22E3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26450 Value not imputed 95.4

3014 Values found by taking average ratio from an

entire imputation class

1.1

119 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.0

5920 Values imputed from non-imputed Q22

column 1 values

2.1

621 Values imputed from non-imputed Q22

column 2 - column 5 values

0.2

3122 Values adjusted downward to maintain

relationship between Q22 and Q23

1.1

2772 100.0

Page 125

SSOCS 2004 Codebook (continued)

IQ22E4IQ22E4IQ22E4IQ22E4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26370 Value not imputed 95.1

3114 Values found by taking average ratio from an

entire imputation class

1.1

219 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.1

9420 Values imputed from non-imputed Q22

column 1 values

3.4

821 Values imputed from non-imputed Q22

column 2 - column 5 values

0.3

2772 100.0

IQ22E5IQ22E5IQ22E5IQ22E5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25020 Value not imputed 90.3

5614 Values found by taking average ratio from an

entire imputation class

2.0

619 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.2

19620 Values imputed from non-imputed Q22

column 1 values

7.1

1221 Values imputed from non-imputed Q22

column 2 - column 5 values

0.4

2772 100.0

IQ22F1IQ22F1IQ22F1IQ22F1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24830 Value not imputed 89.6

18218 Values found by finding average values

within an entire imputation class

6.6

10721 Values imputed from non-imputed Q22

column 2 - column 5 values

3.9

2772 100.0

Page 126

SSOCS 2004 Codebook (continued)

IQ22F2IQ22F2IQ22F2IQ22F2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26870 Value not imputed 96.9

4714 Values found by taking average ratio from an

entire imputation class

1.7

3020 Values imputed from non-imputed Q22

column 1 values

1.1

521 Values imputed from non-imputed Q22

column 2 - column 5 values

0.2

322 Values adjusted downward to maintain

relationship between Q22 and Q23

0.1

2772 100.0

IQ22F3IQ22F3IQ22F3IQ22F3 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25860 Value not imputed 93.3

9014 Values found by taking average ratio from an

entire imputation class

3.2

119 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.0

5220 Values imputed from non-imputed Q22

column 1 values

1.9

521 Values imputed from non-imputed Q22

column 2 - column 5 values

0.2

3822 Values adjusted downward to maintain

relationship between Q22 and Q23

1.4

2772 100.0

Page 127

SSOCS 2004 Codebook (continued)

IQ22F4IQ22F4IQ22F4IQ22F4 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25570 Value not imputed 92.2

12014 Values found by taking average ratio from an

entire imputation class

4.3

119 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.0

8420 Values imputed from non-imputed Q22

column 1 values

3.0

1021 Values imputed from non-imputed Q22

column 2 - column 5 values

0.4

2772 100.0

IQ22F5IQ22F5IQ22F5IQ22F5 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24310 Value not imputed 87.7

17714 Values found by taking average ratio from an

entire imputation class

6.4

519 When column 1 = '1' and all other columns

were missing/zero one column selected to

have a '1' imputed and remainder set to zero

0.2

14720 Values imputed from non-imputed Q22

column 1 values

5.3

1221 Values imputed from non-imputed Q22

column 2 - column 5 values

0.4

2772 100.0

IQ23AIQ23AIQ23AIQ23A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26370 Value not imputed 95.1

3323 Values imputed from at least one imputed

Q22 value

1.2

10224 Values imputed from all existing Q22 values 3.7

2772 100.0

Page 128

SSOCS 2004 Codebook (continued)

IQ23BIQ23BIQ23BIQ23B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25550 Value not imputed 92.2

4423 Values imputed from at least one imputed

Q22 value

1.6

15524 Values imputed from all existing Q22 values 5.6

1825 Values modified by nonimputed Q33 value 0.6

2772 100.0

IQ25BIQ25BIQ25BIQ25B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27040 Value not imputed 97.5

665 Missing value imputed using Best-Match

procedure (perfect match)

2.4

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ25CIQ25CIQ25CIQ25C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27080 Value not imputed 97.7

565 Missing value imputed using Best-Match

procedure (perfect match)

2.0

86 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.3

2772 100.0

IQ26AIQ26AIQ26AIQ26A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25190 Value not imputed 90.9

2365 Missing value imputed using Best-Match

procedure (perfect match)

8.5

176 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.6

2772 100.0

Page 129

SSOCS 2004 Codebook (continued)

IQ26BIQ26BIQ26BIQ26B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26600 Value not imputed 96.0

1105 Missing value imputed using Best-Match

procedure (perfect match)

4.0

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ26CIQ26CIQ26CIQ26C Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26710 Value not imputed 96.4

975 Missing value imputed using Best-Match

procedure (perfect match)

3.5

46 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ27IQ27IQ27IQ27 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26940 Value not imputed 97.2

715 Missing value imputed using Best-Match

procedure (perfect match)

2.6

16 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.0

69 Missing values are top-coded 0.2

2772 100.0

IQ28A1IQ28A1IQ28A1IQ28A1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27310 Value not imputed 98.5

1010 Zeroes imputed based on % observed in the

donor class

0.4

3111 Values found using average ratio from 5

donors

1.1

2772 100.0

Page 130

SSOCS 2004 Codebook (continued)

IQ28A2IQ28A2IQ28A2IQ28A2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19450 Value not imputed 70.2

55510 Zeroes imputed based on % observed in the

donor class

20.0

27211 Values found using average ratio from 5

donors

9.8

2772 100.0

IQ28B1IQ28B1IQ28B1IQ28B1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26500 Value not imputed 95.6

1410 Zeroes imputed based on % observed in the

donor class

0.5

10811 Values found using average ratio from 5

donors

3.9

2772 100.0

IQ28B2IQ28B2IQ28B2IQ28B2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19160 Value not imputed 69.1

63010 Zeroes imputed based on % observed in the

donor class

22.7

22611 Values found using average ratio from 5

donors

8.2

2772 100.0

IQ28E1IQ28E1IQ28E1IQ28E1 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

26690 Value not imputed 96.3

2310 Zeroes imputed based on % observed in the

donor class

0.8

8011 Values found using average ratio from 5

donors

2.9

2772 100.0

Page 131

SSOCS 2004 Codebook (continued)

IQ28E2IQ28E2IQ28E2IQ28E2 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

19680 Value not imputed 71.0

52010 Zeroes imputed based on % observed in the

donor class

18.8

28411 Values found using average ratio from 5

donors

10.2

2772 100.0

IQ29IQ29IQ29IQ29 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27660 Value not imputed 99.8

65 Missing value imputed using Best-Match

procedure (perfect match)

0.2

2772 100.0

IQ30IQ30IQ30IQ30 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27650 Value not imputed 99.7

55 Missing value imputed using Best-Match

procedure (perfect match)

0.2

26 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

IQ32IQ32IQ32IQ32 Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

27350 Value not imputed 98.7

345 Missing value imputed using Best-Match

procedure (perfect match)

1.2

36 Missing value imputed using Best-Match

procedure (relaxed criteria)

0.1

2772 100.0

Page 132

SSOCS 2004 Codebook (continued)

IQ33AIQ33AIQ33AIQ33A Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

25440 Value not imputed 91.8

310 Zeroes imputed based on % observed in the

donor class

0.1

22511 Values found using average ratio from 5

donors

8.1

2772 100.0

IQ33BIQ33BIQ33BIQ33B Imputation FlagVariable Name:

Frequency

Weighted Distribution:

Percent Frequency Percent

24540 Value not imputed 88.5

4626 Values imputed from imputed Q23b values 1.7

27227 Values imputed from existing Q23b values 9.8

2772 100.0

Page 133

U.S. Department of Education ED Pubs 8242-B Sandy Court Jessup, MD 20794-1398

ICPSR 25681

Table of Contents
Study Description

Citation
Study Scope
Subject Information
Keyword(s)
Topic Classification(s)
Abstract
Summary Data Description
Time Period
Date(s) of Collection
Country
Geographic Coverage
Geographic Unit
Unit of Analysis
Universe
Kind of Data
Methodology and Processing
Data Collection Methodology
Time Method
Data Collector
Data Access
Dataset Availability
Location
Extent of Collection
Data Use Statement
Citation Requirement
Deposit Requirement

File Description

File Description
da25681-0001.txt
Contents of File(s)

Variable Description

SCHOOL IDENTIFIER
RESPONDENT INFORMATION
SCHOOL PRACTICES AND PROGRAMS
PARENT AND COMMUNITY INVOLVEMENT AT SCHOOL
SCHOOL SECURITY
TEACHER TRAINING
LIMITATIONS ON CRIME PREVENTION
FREQUENCY OF CRIME AND VIOLENCE AT SCHOOL
NUMBER OF INCIDENTS
DISCIPLINARY PROBLEMS AND ACTIONS
SCHOOL CHARACTERISTICS
RECORDED TOTALS
WEIGHTS
IMPUTATION FLAGS

Codebook
Public-Use Data File Codebook

COVER: School Survey on Crime and Safety: 2003–04, Public-Use Data File Codebook

SSOCS 2004 Codebook