nibrs-gss9

Your license will expire in 25 days. CROSSTABS /TABLES=cappun BY marital /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

09-APR-2020 19:41:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

Page 1

Notes

Syntax

Resources Processor Time

Elapsed Time

Dimensions Requested

Cells Available

CROSSTABS /TABLES=cappun BY marital /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

5 2 4 2 4 5

[DataSet1] /Users/mer/Dropbox/Spring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER * MARITAL STATUS

1 9 2 6 94.2% 118.000 5.8% 2044.000 100.0%

Page 2

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER * MARITAL STATUS Crosstabulation

MARITAL STATUS

MARRIED WIDOWED DIVORCED SEPARATED NEVER

MARRIED

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

FAVOR Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

OPPOSE Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

Total Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

7 2 2 7 5 1 7 6 3 1 3 0 1 1 3 0 5

55.3% 5.7% 13.5% 2.4% 23.1% 100.0%

72.2% 64.1% 69.6% 70.5% 58.8% 67.8%

2 7 8 4 2 7 7 1 3 2 1 1 6 2 1

44.8% 6.8% 12.4% 2.1% 34.0% 100.0%

27.8% 35.9% 30.4% 29.5% 41.2% 32.2%

1 0 0 0 1 1 7 2 5 3 4 4 5 1 2 1 9 2 6

51.9% 6.1% 13.1% 2.3% 26.6% 100.0%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 3

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER * MARITAL STATUS Crosstabulation

Total

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

FAVOR Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

OPPOSE Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

Total Count

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

% within MARITAL STATUS

1 3 0 5

100.0%

67.8%

6 2 1

100.0%

32.2%

1 9 2 6

100.0%

100.0%

Page 4

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

29.124 a 4 . 0 0 0

28.603 4 . 0 0 0

24.917 1 . 0 0 0

1 9 2 6

0 cells (0.0%) have expected count less than 5. The minimum expected count is 14.19.a.

CROSSTABS /TABLES=marital BY cappun /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Page 5

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

09-APR-2020 19:43:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=marital BY cappun /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

Page 6

Notes Resources

Dimensions Requested

Cells Available

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

MARITAL STATUS * FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

1 9 2 6 94.2% 118.000 5.8% 2044.000 100.0%

MARITAL STATUS * FAVOR OR OPPOSE DEATH PENALTY FOR MURDER Crosstabulation

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

TotalFAVOR OPPOSE

MARITAL STATUS MARRIED Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

WIDOWED Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

7 2 2 2 7 8 1 0 0 0

72.2% 27.8% 100.0%

55.3% 44.8% 51.9%

7 5 4 2 1 1 7

64.1% 35.9% 100.0%

5.7% 6.8% 6.1%

1 7 6 7 7 2 5 3

Page 7

MARITAL STATUS * FAVOR OR OPPOSE DEATH PENALTY FOR MURDER Crosstabulation

FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

TotalFAVOR OPPOSE

MARITAL STATUS

DIVORCED Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

SEPARATED Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

NEVER MARRIED Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

Total Count

% within MARITAL STATUS

% within FAVOR OR OPPOSE DEATH PENALTY FOR MURDER

1 7 6 7 7 2 5 3

69.6% 30.4% 100.0%

13.5% 12.4% 13.1%

3 1 1 3 4 4

70.5% 29.5% 100.0%

2.4% 2.1% 2.3%

3 0 1 2 1 1 5 1 2

58.8% 41.2% 100.0%

23.1% 34.0% 26.6%

1 3 0 5 6 2 1 1 9 2 6

67.8% 32.2% 100.0%

100.0% 100.0% 100.0%

Page 8

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

29.124 a 4 . 0 0 0

28.603 4 . 0 0 0

24.917 1 . 0 0 0

1 9 2 6

0 cells (0.0%) have expected count less than 5. The minimum expected count is 14.19.a.

CROSSTABS /TABLES=sex BY wkharsex /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Page 9

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

09-APR-2020 19:47:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=sex BY wkharsex /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

Page 10

Notes Resources

Dimensions Requested

Cells Available

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESPONDENTS SEX * R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

1 1 8 9 58.2% 855.000 41.8% 2044.000 100.0%

RESPONDENTS SEX * R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS Crosstabulation

R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

TotalYES NO

RESPONDENTS SEX MALE Count

% within RESPONDENTS SEX

% within R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

6 5 6 6 5 7 2

1.0% 99.0% 100.0%

20.7% 48.8% 48.1%

2 3 5 9 4 6 1 7

Page 11

RESPONDENTS SEX * R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS Crosstabulation

R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

TotalYES NO

RESPONDENTS SEX

FEMALE Count

% within RESPONDENTS SEX

% within R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

Total Count

% within RESPONDENTS SEX

% within R SEXUALLY HARASSED ON THE JOB LAST 12 MONTHS

2 3 5 9 4 6 1 7

3.7% 96.3% 100.0%

79.3% 51.2% 51.9%

2 9 1 1 6 0 1 1 8 9

2.4% 97.6% 100.0%

100.0% 100.0% 100.0%

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided) Exact Sig. (2-

sided) Exact Sig. (1-

sided)

Pearson Chi-Square

Continuity Correctionb

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear Association

N of Valid Cases

8 . 9 5 1 a 1 . 0 0 3

7 . 8 6 1 1 . 0 0 5

9 . 6 0 6 1 . 0 0 2

. 0 0 4 . 0 0 2

8 . 9 4 4 1 . 0 0 3

1 1 8 9

0 cells (0.0%) have expected count less than 5. The minimum expected count is 13.95.a.

Computed only for a 2x2 tableb.

Page 12

CROSSTABS /TABLES=sex BY wkharoth /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

09-APR-2020 19:49:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

Page 13

Notes

Syntax

Resources Processor Time

Elapsed Time

Dimensions Requested

Cells Available

CROSSTABS /TABLES=sex BY wkharoth /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESPONDENTS SEX * R THREATENED ON THE JOB LAST 12 MONTHS

1 1 9 0 58.2% 854.000 41.8% 2044.000 100.0%

Page 14

RESPONDENTS SEX * R THREATENED ON THE JOB LAST 12 MONTHS Crosstabulation

R THREATENED ON THE JOB LAST 12 MONTHS

TotalYES NO

RESPONDENTS SEX MALE Count

% within RESPONDENTS SEX

% within R THREATENED ON THE JOB LAST 12 MONTHS

FEMALE Count

% within RESPONDENTS SEX

% within R THREATENED ON THE JOB LAST 12 MONTHS

Total Count

% within RESPONDENTS SEX

% within R THREATENED ON THE JOB LAST 12 MONTHS

5 0 5 2 3 5 7 3

8.7% 91.3% 100.0%

47.2% 48.2% 48.2%

5 6 5 6 1 6 1 7

9.1% 90.9% 100.0%

52.8% 51.8% 51.8%

1 0 6 1 0 8 4 1 1 9 0

8.9% 91.1% 100.0%

100.0% 100.0% 100.0%

Page 15

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided) Exact Sig. (2-

sided) Exact Sig. (1-

sided)

Pearson Chi-Square

Continuity Correctionb

Likelihood Ratio

Fisher's Exact Test

Linear-by-Linear Association

N of Valid Cases

. 0 4 5 a 1 . 8 3 2

. 0 1 2 1 . 9 1 2

. 0 4 5 1 . 8 3 2

. 8 3 9 . 4 5 7

. 0 4 5 1 . 8 3 2

1 1 9 0

0 cells (0.0%) have expected count less than 5. The minimum expected count is 51.04.a.

Computed only for a 2x2 tableb.

CROSSTABS /TABLES=sex BY owngun /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Page 16

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

09-APR-2020 19:51:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=sex BY owngun /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

Page 17

Notes Resources

Dimensions Requested

Cells Available

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

RESPONDENTS SEX * HAVE GUN IN HOME

1 2 7 2 62.2% 772.000 37.8% 2044.000 100.0%

RESPONDENTS SEX * HAVE GUN IN HOME Crosstabulation

HAVE GUN IN HOME

TotalYES NO REFUSED

RESPONDENTS SEX MALE Count

% within RESPONDENTS SEX

% within HAVE GUN IN HOME

FEMALE Count

% within RESPONDENTS SEX

% within HAVE GUN IN HOME

Total Count

% within RESPONDENTS SEX

% within HAVE GUN IN HOME

2 2 2 3 4 6 2 7 5 9 5

37.3% 58.2% 4.5% 100.0%

54.1% 42.5% 57.4% 46.8%

1 8 8 4 6 9 2 0 6 7 7

27.8% 69.3% 3.0% 100.0%

45.9% 57.5% 42.6% 53.2%

4 1 0 8 1 5 4 7 1 2 7 2

32.2% 64.1% 3.7% 100.0%

100.0% 100.0% 100.0% 100.0%

Page 18

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

17.211 a 2 . 0 0 0

17.214 2 . 0 0 0

7 . 2 1 2 1 . 0 0 7

1 2 7 2

0 cells (0.0%) have expected count less than 5. The minimum expected count is 21.99.a.

CROSSTABS /TABLES=hunt BY gunlaw /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Page 19

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

09-APR-2020 19:53:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/GSS 2010 for 4E-1.sav

DataSet1

< n o n e >

WEIGHT VARIABLE

< n o n e >

2 0 4 4

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=hunt BY gunlaw /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT ROW COLUMN /COUNT ROUND CELL.

00:00:00.01

00:00:00.00

2

Page 20

Notes Resources

Dimensions Requested

Cells Available

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

DOES R OR SPOUSE HUNT * FAVOR OR OPPOSE GUN PERMITS

1 2 6 6 61.9% 778.000 38.1% 2044.000 100.0%

DOES R OR SPOUSE HUNT * FAVOR OR OPPOSE GUN PERMITS Crosstabulation

FAVOR OR OPPOSE GUN PERMITS

TotalFAVOR OPPOSE

DOES R OR SPOUSE HUNT RESP Count

% within DOES R OR SPOUSE HUNT

% within FAVOR OR OPPOSE GUN PERMITS

SPOUSE Count

% within DOES R OR SPOUSE HUNT

% within FAVOR OR OPPOSE GUN PERMITS

8 2 7 8 1 6 0

51.2% 48.8% 100.0%

8.7% 23.9% 12.6%

2 3 3 1 5 4

42.6% 57.4% 100.0%

2.4% 9.5% 4.3%

6 1 1 1 7

Page 21

DOES R OR SPOUSE HUNT * FAVOR OR OPPOSE GUN PERMITS Crosstabulation

FAVOR OR OPPOSE GUN PERMITS

TotalFAVOR OPPOSE

DOES R OR SPOUSE HUNT

BOTH Count

% within DOES R OR SPOUSE HUNT

% within FAVOR OR OPPOSE GUN PERMITS

NEITHER Count

% within DOES R OR SPOUSE HUNT

% within FAVOR OR OPPOSE GUN PERMITS

Total Count

% within DOES R OR SPOUSE HUNT

% within FAVOR OR OPPOSE GUN PERMITS

6 1 1 1 7

35.3% 64.7% 100.0%

0.6% 3.4% 1.3%

8 2 9 2 0 6 1 0 3 5

80.1% 19.9% 100.0%

88.2% 63.2% 81.8%

9 4 0 3 2 6 1 2 6 6

74.2% 25.8% 100.0%

100.0% 100.0% 100.0%

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

104.572 a 3 . 0 0 0

93.822 3 . 0 0 0

86.346 1 . 0 0 0

1 2 6 6

1 cells (12.5%) have expected count less than 5. The minimum expected count is 4.38.a.

Page 22

GET FILE='/Users/mer/Dropbox/Spring 2020/CJ 317 CJ Stats/Data for Lab/Assault.sav'. DATASET NAME DataSet2 WINDOW=FRONT. DATASET CLOSE DataSet1. CROSSTABS /TABLES=V50081 BY V20171 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

09-APR-2020 20:13:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/Assault.sav

DataSet2

< n o n e >

< n o n e >

< n o n e >

2 6 6 2 9 5 0

Page 23

Notes

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

Dimensions Requested

Cells Available

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=V50081 BY V20171 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

00:00:14.05

00:00:14.00

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1

3 6 5 7 3 6 13.7% 2 2 9 7 2 1 4 86.3% 2 6 6 2 9 5 0 100.0%

Page 24

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Firearm (type not stated)

Firearm- automatic Handgun

Handgun- automatic Rifle

SEX OF OFFENDER - 1 Female Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Male Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

3 8 4 2 9 1 2 2 9 9 9 8 6 4

1287.0 6 4 . 4 3867.3 3 3 2 . 7 2 8 3 . 2 2 0 . 5

0.4% 0.0% 1.4% 0.1% 0.1% 0.0%

7.4% 11.2% 7.9% 7.4% 7.5% 4.8%

4 8 1 5 2 3 1 1 4 3 9 3 1 2 4 5 1 0 5 8 7 9

3912.0 1 9 5 . 6 11754.7 1011.3 8 6 0 . 8 6 2 . 5

1.7% 0.1% 5.2% 0.5% 0.4% 0.0%

92.6% 88.8% 92.1% 92.6% 92.5% 95.2%

5 1 9 9 2 6 0 1 5 6 2 2 1 3 4 4 1 1 4 4 8 3

5199.0 2 6 0 . 0 15622.0 1344.0 1144.0 8 3 . 0

1.4% 0.1% 4.3% 0.4% 0.3% 0.0%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 25

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Rifle- automatic Shotgun

Shotgun- automatic Other Firearm

Other Firearm- automatic

SEX OF OFFENDER - 1 Female Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Male Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

4 8 2 2 6 7 3 4 0 1 1

2 0 . 5 3 0 6 . 5 5 . 0 1 7 9 . 5 4 . 2 4014.1

0.0% 0.1% 0.0% 0.1% 0.0% 4.4%

4.8% 6.6% 10.0% 9.2% 17.6% 24.7%

7 9 1 1 5 6 1 8 6 5 8 1 4 1 2 2 0 4

6 2 . 5 9 3 1 . 5 1 5 . 0 5 4 5 . 5 1 2 . 8 12200.9

0.0% 0.4% 0.0% 0.2% 0.0% 4.4%

95.2% 93.4% 90.0% 90.8% 82.4% 75.3%

8 3 1 2 3 8 2 0 7 2 5 1 7 1 6 2 1 5

8 3 . 0 1238.0 2 0 . 0 7 2 5 . 0 1 7 . 0 16215.0

0.0% 0.3% 0.0% 0.2% 0.0% 4.4%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 26

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Knife/Cutting Instrument Blunt Object Motor Vehicle

Personal Weapons

(hands, feet, teeth, etc.)

Poison (include gas)

SEX OF OFFENDER - 1 Female Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Male Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

4 0 1 1 2 2 7 0 1 2 5 9 6 4 0 8 0 2 6 1 2

4014.1 2207.9 9 4 3 . 2 60575.9 1 8 . 6 4 2 . 1

4.4% 2.5% 1.4% 70.8% 0.0% 0.0%

24.7% 25.5% 33.0% 26.2% 34.7% 7.1%

1 2 2 0 4 6 6 4 9 2 5 5 1 1 8 0 6 1 9 4 9 1 5 8

12200.9 6711.1 2866.8 184123.1 5 6 . 4 1 2 7 . 9

4.4% 2.4% 0.9% 65.6% 0.0% 0.1%

75.3% 74.5% 67.0% 73.8% 65.3% 92.9%

1 6 2 1 5 8 9 1 9 3 8 1 0 2 4 4 6 9 9 7 5 1 7 0

16215.0 8919.0 3810.0 244699.0 7 5 . 0 1 7 0 . 0

4.4% 2.4% 1.0% 66.9% 0.0% 0.0%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 27

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Explosives Fire/Incendiary

Device

Drugs/Narcoti cs/Sleeping

Pills Asphyxiation Other

SEX OF OFFENDER - 1 Female Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Male Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

1 2 5 2 6 6 5 6 6 8 1 1 9 9 1 1

4 2 . 1 6 1 . 1 6 4 . 1 1 9 3 . 1 5544.7 10524.0

0.0% 0.1% 0.1% 0.1% 7.5% 10.9%

7.1% 21.1% 25.5% 7.2% 30.4% 23.3%

1 5 8 1 9 5 1 9 3 7 2 4 1 5 5 8 7 3 2 6 0 1

1 2 7 . 9 1 8 5 . 9 1 9 4 . 9 5 8 6 . 9 16853.3 31988.0

0.1% 0.1% 0.1% 0.3% 5.7% 11.8%

92.9% 78.9% 74.5% 92.8% 69.6% 76.7%

1 7 0 2 4 7 2 5 9 7 8 0 2 2 3 9 8 4 2 5 1 2

1 7 0 . 0 2 4 7 . 0 2 5 9 . 0 7 8 0 . 0 22398.0 42512.0

0.0% 0.1% 0.1% 0.2% 6.1% 11.6%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 28

SEX OF OFFENDER - 1 * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / ...

TotalNone

SEX OF OFFENDER - 1 Female Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Male Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within SEX OF OFFENDER - 1

% within WEAPON / FORCE 1 - 1

9 9 1 1 9 0 5 3 9

10524.0 90539.0

10.9% 100.0%

23.3% 24.8%

3 2 6 0 1 2 7 5 1 9 7

31988.0 275197.0

11.8% 100.0%

76.7% 75.2%

4 2 5 1 2 3 6 5 7 3 6

42512.0 365736.0

11.6% 100.0%

100.0% 100.0%

Page 29

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

5001.048 a 2 0 . 0 0 0

6069.700 2 0 . 0 0 0

488.866 1 . 0 0 0

3 6 5 7 3 6

2 cells (4.8%) have expected count less than 5. The minimum expected count is 4.21.a.

CROSSTABS /TABLES=V40191 BY V40261 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Page 30

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

Syntax

Resources Processor Time

Elapsed Time

09-APR-2020 20:19:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/Assault.sav

DataSet2

< n o n e >

< n o n e >

< n o n e >

2 6 6 2 9 5 0

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

CROSSTABS /TABLES=V40191 BY V40261 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

00:00:14.17

00:00:14.00

2 Page 31

Notes Resources

Dimensions Requested

Cells Available

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

SEX OF VICTIM - 1 * INJURY 1 - 1

3 7 6 0 8 5 14.1% 2 2 8 6 8 6 5 85.9% 2 6 6 2 9 5 0 100.0%

SEX OF VICTIM - 1 * INJURY 1 - 1 Crosstabulation

INJURY 1 - 1

None Apparent

Minor Injury Apparent

Broken Bones Other Major

Injury Possible

Internal Injury

SEX OF VICTIM - 1 Female Count

Expected Count

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

Male Count

Expected Count

1 0 9 1 6 3 1 0 3 5 3 4 1 1 1 6 1 9 1 1 2 0 3 3 1 7 3

106581.4 102354.8 1724.5 2888.0 2150.2 2 7 9 . 9

49.6% 47.0% 0.5% 0.9% 0.9% 0.1%

60.0% 59.2% 37.9% 38.7% 55.4% 36.2%

7 2 8 5 1 7 1 2 6 2 1 8 2 9 3 0 2 1 1 6 3 9 3 0 5

75432.6 72441.2 1220.5 2044.0 1521.8 1 9 8 . 1

46.7% 45.7% 1.2% 1.9% 1.1% 0.2%

Page 32

SEX OF VICTIM - 1 * INJURY 1 - 1 Crosstabulation

INJURY 1 - 1

TotalLoss of Teeth Severe

Laceration Unconsciousne

ss

SEX OF VICTIM - 1 Female Count

Expected Count

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

Male Count

Expected Count

1 7 3 1 5 2 9 7 6 4 2 2 0 2 2 3

2 7 9 . 9 3419.7 8 2 4 . 5 220223.0

0.1% 0.7% 0.3% 100.0%

36.2% 26.2% 54.3% 58.6%

3 0 5 4 3 1 1 6 4 4 1 5 5 8 6 2

1 9 8 . 1 2420.3 5 8 3 . 5 155862.0

0.2% 2.8% 0.4% 100.0% SEX OF VICTIM - 1 * INJURY 1 - 1 Crosstabulation

INJURY 1 - 1

None Apparent

Minor Injury Apparent

Broken Bones Other Major

Injury Possible

Internal Injury

SEX OF VICTIM - 1

Male

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

Total Count

Expected Count

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

46.7% 45.7% 1.2% 1.9% 1.1% 0.2%

40.0% 40.8% 62.1% 61.3% 44.6% 63.8%

1 8 2 0 1 4 1 7 4 7 9 6 2 9 4 5 4 9 3 2 3 6 7 2 4 7 8

182014.0 174796.0 2945.0 4932.0 3672.0 4 7 8 . 0

48.4% 46.5% 0.8% 1.3% 1.0% 0.1%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 33

SEX OF VICTIM - 1 * INJURY 1 - 1 Crosstabulation

INJURY 1 - 1

TotalLoss of Teeth Severe

Laceration Unconsciousne

ss

SEX OF VICTIM - 1

Male

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

Total Count

Expected Count

% within SEX OF VICTIM - 1

% within INJURY 1 - 1

0.2% 2.8% 0.4% 100.0%

63.8% 73.8% 45.7% 41.4%

4 7 8 5 8 4 0 1 4 0 8 3 7 6 0 8 5

4 7 8 . 0 5840.0 1408.0 376085.0

0.1% 1.6% 0.4% 100.0%

100.0% 100.0% 100.0% 100.0%

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

4146.275 a 7 . 0 0 0

4113.368 7 . 0 0 0

2522.800 1 . 0 0 0

3 7 6 0 8 5

0 cells (0.0%) have expected count less than 5. The minimum expected count is 198.10.a.

RECODE V50071 (18 thru 64=1) (65 thru Highest=2) INTO AGEGRP. VARIABLE LABELS AGEGRP 'AGEGRP'. EXECUTE.

Page 34

CROSSTABS /TABLES=AGEGRP BY V20171 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

Crosstabs

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

09-APR-2020 20:23:...

/Users/mer/Dropbox/S pring 2020/CJ 317 CJ Stats/Data for Lab/Assault.sav

DataSet2

< n o n e >

< n o n e >

< n o n e >

2 6 6 2 9 5 0

User-defined missing values are treated as missing.

Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.

Page 35

Notes

Syntax

Resources Processor Time

Elapsed Time

Dimensions Requested

Cells Available

CROSSTABS /TABLES=AGEGRP BY V20171 /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED ROW COLUMN /COUNT ROUND CELL.

00:00:14.08

00:00:14.00

2

5 2 4 2 4 5

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

AGEGRP * WEAPON / FORCE 1 - 1

3 1 1 4 7 1 11.7% 2 3 5 1 4 7 9 88.3% 2 6 6 2 9 5 0 100.0%

Page 36

AGEGRP * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Firearm (type not stated)

Firearm- automatic Handgun

Handgun- automatic Rifle

Rifle- automatic

AGEGRP 1 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

2 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

4 1 8 1 2 1 7 1 2 8 2 6 1 1 1 7 1 0 1 8 7 3 1 0 8 3

4197.9 2 1 5 . 5 12886.6 1119.8 1034.5 7 3 . 5 1112.9

1.4% 0.1% 4.2% 0.4% 0.3% 0.0% 0.4%

97.6% 98.6% 97.5% 97.7% 96.4% 97.3% 95.3%

1 0 4 3 3 2 8 2 6 3 8 2 5 3

8 7 . 1 4 . 5 2 6 7 . 4 2 3 . 2 2 1 . 5 1 . 5 2 3 . 1

1.6% 0.0% 5.2% 0.4% 0.6% 0.0% 0.8%

2.4% 1.4% 2.5% 2.3% 3.6% 2.7% 4.7%

4 2 8 5 2 2 0 1 3 1 5 4 1 1 4 3 1 0 5 6 7 5 1 1 3 6

4285.0 2 2 0 . 0 13154.0 1143.0 1056.0 7 5 . 0 1136.0

1.4% 0.1% 4.2% 0.4% 0.3% 0.0% 0.4%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 37

AGEGRP * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Shotgun Shotgun- automatic Other Firearm

Other Firearm- automatic

Knife/Cutting Instrument Blunt Object

AGEGRP 1 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

2 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

1 0 8 3 1 8 4 8 9 1 2 1 3 0 6 0 7 7 2 3 3 4 9 5

1112.9 1 7 . 6 4 9 2 . 8 1 2 . 7 12988.5 7740.4 3517.0

0.4% 0.0% 0.2% 0.0% 4.3% 2.5% 1.1%

95.3% 100.0% 97.2% 92.3% 98.5% 97.7% 97.4%

5 3 0 1 4 1 1 9 8 1 7 8 9 5

2 3 . 1 . 4 1 0 . 2 . 3 2 6 9 . 5 1 6 0 . 6 7 3 . 0

0.8% 0.0% 0.2% 0.0% 3.1% 2.8% 1.5%

4.7% 0.0% 2.8% 7.7% 1.5% 2.3% 2.6%

1 1 3 6 1 8 5 0 3 1 3 1 3 2 5 8 7 9 0 1 3 5 9 0

1136.0 1 8 . 0 5 0 3 . 0 1 3 . 0 13258.0 7901.0 3590.0

0.4% 0.0% 0.2% 0.0% 4.3% 2.5% 1.2%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 38

AGEGRP * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

Motor Vehicle

Personal Weapons

(hands, feet, teeth, etc.)

Poison (include gas) Explosives

Fire/Incendiary Device

Drugs/Narcoti cs/Sleeping

Pills

AGEGRP 1 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

2 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

3 4 9 5 2 0 5 1 4 0 5 7 1 2 9 2 0 1 2 3 4 7 3 8

3517.0 204854.0 5 6 . 8 1 3 3 . 2 1 9 6 . 9 2 3 1 . 2 7 2 9 . 9

1.1% 67.2% 0.0% 0.0% 0.1% 0.1% 0.2%

97.4% 98.1% 98.3% 94.9% 100.0% 99.2% 99.1%

9 5 3 9 6 5 1 7 0 2 7

7 3 . 0 4251.0 1 . 2 2 . 8 4 . 1 4 . 8 1 5 . 1

1.5% 62.6% 0.0% 0.1% 0.0% 0.0% 0.1%

2.6% 1.9% 1.7% 5.1% 0.0% 0.8% 0.9%

3 5 9 0 2 0 9 1 0 5 5 8 1 3 6 2 0 1 2 3 6 7 4 5

3590.0 209105.0 5 8 . 0 1 3 6 . 0 2 0 1 . 0 2 3 6 . 0 7 4 5 . 0

1.2% 67.1% 0.0% 0.0% 0.1% 0.1% 0.2%

100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%

Page 39

AGEGRP * WEAPON / FORCE 1 - 1 Crosstabulation

WEAPON / FORCE 1 - 1

TotalAsphyxiation Other None

AGEGRP 1 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

2 . 0 0 Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

Total Count

Expected Count

% within AGEGRP

% within WEAPON / FORCE 1 - 1

7 3 8 1 8 3 4 6 3 4 9 8 2 3 0 5 1 3 9

7 2 9 . 9 18433.5 35093.8 305139.0

0.2% 6.0% 11.5% 100.0%

99.1% 97.5% 97.7% 98.0%

7 4 7 0 8 4 0 6 3 3 2

1 5 . 1 3 8 2 . 5 7 2 8 . 2 6332.0

0.1% 7.4% 13.3% 100.0%

0.9% 2.5% 2.3% 2.0%

7 4 5 1 8 8 1 6 3 5 8 2 2 3 1 1 4 7 1

7 4 5 . 0 18816.0 35822.0 311471.0

0.2% 6.0% 11.5% 100.0%

100.0% 100.0% 100.0% 100.0%

Page 40

Chi-Square Tests

Value df

Asymptotic Significance

(2-sided)

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear Association

N of Valid Cases

177.348 a 2 0 . 0 0 0

166.015 2 0 . 0 0 0

18.023 1 . 0 0 0

3 1 1 4 7 1

8 cells (19.0%) have expected count less than 5. The minimum expected count is .26.a.

Page 41