SPSS ASSIGNMENT #8
Data.xlsx
Q1
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Aggressive | 1 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Assertive | 4 |
| Manipulative | 2 |
| Manipulative | 2 |
| Passive | 3 |
| Passive | 3 |
Q2
| Suspended | Aggressive | Manipulative | Passive | Assertive | Total | 1 | 1 | |
| Yes | 7 | 1 | 1 | 1 | 10 | 1 | 1 | |
| No | 1 | 1 | 1 | 7 | 10 | 1 | 1 | |
| Total | 8 | 2 | 2 | 8 | 20 | 1 | 1 | |
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 2 | |||||||
| 1 | 3 | |||||||
| 1 | 4 | |||||||
| 0 | 1 | |||||||
| 0 | 2 | |||||||
| 0 | 3 | |||||||
| 0 | 4 | |||||||
| 0 | 4 | |||||||
| 0 | 4 | |||||||
| 0 | 4 | |||||||
| 0 | 4 | |||||||
| 0 | 4 | |||||||
| 0 | 4 |
Q3
| Suspension from School | Assertive | Other | Total | 1 | 1 | ||
| Yes | 1 | 9 | 10 | 1 | 2 | ||
| No | 6 | 4 | 10 | 1 | 2 | ||
| Total | 7 | 13 | 20 | 1 | 2 | ||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
| 2 | 1 | ||||||
| 2 | 1 | ||||||
| 2 | 1 | ||||||
| 2 | 1 | ||||||
| 2 | 1 | ||||||
| 2 | 1 | ||||||
| 2 | 2 | ||||||
| 2 | 2 | ||||||
| 2 | 2 | ||||||
| 2 | 2 |
Output Question 1.spv
outputViewer0000000000.xml
Output Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>NPAR TESTS /CHISQUARE=Style /EXPECTED=EQUAL /MISSING ANALYSIS.
00000000011_lightNotesData.bin
0000000001211_lightTableData.bin
000000000122_lightTableData.bin
outputViewer0000000001_heading.xml
Output NPar Tests Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>NPar Tests Notes 00000000011_lightNotesData.bin Chi-Square Test Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Chi-Square Test Frequencies Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Frequencies Style 0000000001211_lightTableData.bin Test Statistics 000000000122_lightTableData.bin
META-INF/MANIFEST.MF
allowPivoting=true
Output Question 2.spv
outputViewer0000000000.xml
Output Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>CROSSTABS /TABLES=Suspended BY Style /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED /COUNT ROUND CELL.
00000000011_lightNotesData.bin
00000000013_lightTableData.bin
00000000014_lightTableData.bin
00000000015_lightTableData.bin
outputViewer0000000001_heading.xml
Output Crosstabs Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Crosstabs Notes 00000000011_lightNotesData.bin Active Dataset <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>[DataSet0] Case Processing Summary 00000000013_lightTableData.bin Suspended * Style Crosstabulation 00000000014_lightTableData.bin Chi-Square Tests 00000000015_lightTableData.bin
META-INF/MANIFEST.MF
allowPivoting=true
Output Question 3.spv
outputViewer0000000000.xml
Output Log <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>CROSSTABS /TABLES=Assertiveness BY Suspension /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED /COUNT ROUND CELL.
00000000011_lightNotesData.bin
00000000013_lightTableData.bin
00000000014_lightTableData.bin
00000000015_lightTableData.bin
outputViewer0000000001_heading.xml
Output Crosstabs Title <head><style type="text/css">p{color:0;font-family:SansSerif;font-size:18pt;font-style:normal;font-weight:bold;text-decoration:none}</style></head><BR>Crosstabs Notes 00000000011_lightNotesData.bin Active Dataset <head><style type="text/css">p{color:0;font-family:Monospaced;font-size:14pt;font-style:normal;font-weight:normal;text-decoration:none}</style></head><BR>[DataSet0] Case Processing Summary 00000000013_lightTableData.bin Assertiveness * Suspension Crosstabulation 00000000014_lightTableData.bin Chi-Square Tests 00000000015_lightTableData.bin
META-INF/MANIFEST.MF
allowPivoting=true
Question.doc
SPSS ASSIGNMENT #8
Chi-Square
SPSS instructions:
Chi-Square Test for Goodness of Fit:
Open SPSS
Remember that SPSS assumes that all the scores in a row are from the same participant. In the study presented in #1, there are 20 students, some of whom have been suspended for misbehavior. The primary conflict-resolution style used by each student is also entered. [Ignore the first variable in this analysis.]
When you have entered the data for all 20 students, move to the Variable View window and change the first variable name to “SUSPEND” and the second to “STYLE”. Set the number of decimals for both variables to zero.
Click Analyze ( Non-Parametric Tests ( Chi-Square
Click the variable “STYLE” and then the arrow next to the box labeled “Test Variable List” to indicate that the chi-square for goodness of fit should be conducted on the conflict-resolution style variable.
Note that “All categories equal” is the default selection in the “Expected Values” box, which means that SPSS will conduct the goodness of fit test using equal expected frequencies for each of the four styles, in other words, SPSS will assume that the proportions of students each style are equal.
Click OK.
Chi-Square Test for Independence:
Open SPSS
For #2, you need to add the variable “SUSPEND” to the analysis. Remember that in this problem, we are interested in whether there was an association between conflict-resolution style and having been suspended from school for misbehavior. Since the analysis will involve two nominal variables, the appropriate test is a chi-square test for independence.
Click Analyze ( Descriptive Statistics ( Crosstabs
Since “SUSPEND” is already selected, click the arrow next to the box labeled “Rows.”
Click the variable “STYLE” and click the arrow next to the box labeled “Columns.”
Click “Statistics” and click the box labeled “Chi-Square.”
Click Continue.
Click “Cells” and click the box labeled “Expected.”
Click Continue.
Click OK.
1. The following table includes the primary method of conflict resolution used by 20 students.
|
Method |
Aggressive |
Manipulative |
Passive |
Assertive |
|
N of Students |
8 |
2 |
2 |
8 |
a. Following the five steps of hypothesis testing, conduct the appropriate chi-square test to determine whether the observed frequencies are significantly different from the frequencies expected by change at the .05 level of significance. Clearly identify each of the five steps.
b. Explain your response to some who has never had a course in statistics.
2. Next, researchers categorized the students based on the primary method of conflict resolution used and whether the student had been suspended from school for misbehavior. These data are presented below.
Method
|
Suspended |
Aggressive |
Manipulative |
Passive |
Assertive |
Total |
|
Yes |
7 |
1 |
1 |
1 |
10 |
|
No |
1 |
1 |
1 |
7 |
10 |
|
Total |
8 |
2 |
2 |
8 |
20 |
a. Following the five steps of hypothesis testing, conduct the appropriate chi-square test to determine whether the observed frequencies are significantly different from the frequencies expected by change at the .05 level of significance. Clearly identify each of the five steps.
b. Calculate the effect size.
c. Explain your response to someone who has never had a course in statistics.
3. Believing that assertiveness is the most effective method of conflict resolution, the researchers categorized students so that the aggressive, manipulative, and passive categories were combined. These data are presented in the table below.
Conflict Resolution
|
Suspension from School |
Assertive |
Other |
Total |
|
Yes |
1 |
9 |
10 |
|
No |
6 |
4 |
10 |
|
Total |
7 |
13 |
20 |
a. Following the five steps of hypothesis testing, conduct the appropriate chi-square test to determine whether the observed frequencies are significantly different from the frequencies expected by change at the .05 level of significance. Clearly identify each of the five steps.
b. Calculate the effect size.
c. Explain your results.
The deadline for this assignment is 11:59 PM EST on Sunday of Week 8