1. Data: file GSS02PFP_A

1. The data contain responses to questions about the respondent’s general happiness (HAPPY) and his or her subjective class identification (CLASS). Analyze the relationship between responses to these two questions with the SPSS Crosstabs procedure, requesting counts and appropriate cell percentages. Click on Analyze, Descriptive Statistics, and Crosstabs to get started.

1. What percentage of working-class people responded that they were "very happy"?
2. What percentage of lower- class people were "very happy"?
3. What percentage of those who were "pretty happy" were also from the middle and upper classes?
4. Most of the people who said they were ‘very happy" were from which two classes?
5. Is there a relationship between perceived class and perceived happiness? If there is a relationship, describe it. Is it strong or weak? (Hint: use perceived class as the independent variable)

2. In the GSS 2002, respondents were asked to report which candidate they voted for in 1996 and 2000 presidential elections (PRES96, PRES00). Does a relationship exist between a respondent’s 1996 and 2000 vote. For example, if someone voted for Bill Clinton in 1996, would he/she be likely to vote for Al Gore in 2000?

1. Which variable should be defined as the dependent variable? Explain your answer.
2. Using SPSS crosstabs, create a table with the two variables PRES96 and PRES00 . Explain the relationship between the two variables. (Remember, when you discuss your findings you should exclude those respondents who did not vote).

3. GSS 2002 respondents were asked whether they believed that women were not suited for politics (FEPOL). Examine how this variable is associated with respondent’s sex (SEX) and educational attainment (DEGREE). Calculate the appropriate measure of association for each pair of variables. For the second pair, FEPOL and DEGREE, would gamma be appropriate measure? Why or Why not?

5. Use GSS02PFP_A file to investigate the relationship between the respondent’s education (EDUC) and the education received by his or her father and mother (PAEDUC and MAEDUC, respectively).

1. Use SPSS to find the correlation coefficient, the coefficient of determination, and the regression equation predicting the respondent’s education with father’s education only. Interpret your results.
2. Use SPSS to find the multiple correlation coefficient, the multiple coefficient of determination, and the regression equation predicting the respondent’s education with father’s and mother’s education. Interpret your results.
3. Did taking into account the respondent’s mother’s education improve the prediction?

6. Calculate the 90 percent confidence interval for the following variables, comparing lower, working, middle, and upper classes (CLASS) in the GSS2002 sample. First, tell SPSS that you want to select all cases in the sample by selecting Data and then All cases, and then OK. Then use the Explore procedure using CLASS as your factor variable (Analyze, Descriptive Statistics, Explore).

Make a summary statement of your findings.

1. CHILDS (Number of children in the household)
2. EDUC(Respondent’s highest year of school completed)
3. PAEDUC (father’s highest year of school completed)
4. PRESG80 (Respondent’s occupational prestige)
5. MAEDUC (mother’s highest year of school completed)

7. Use the 2002 GSS file to investigate whether or not Americans have at least two children per person. Use the one sample T test procedure to do this test with the variable CHILDS. Do the test at the .01 significance level. What did you find? Do Americans have two children, more, or less?

8. Is it better for a man to work and a woman to stay at home? Women and men were asked this question in the GSS 2002. Investigate the relationship between marital status (MARITAL) and responses to this question (FEMFAM). Have SPSS calculate the cross- tabulation of both variables, along with chi- square (set alpha at .05). What can you conclude?

9. Based on GSS02PFP_A, Examine the relationship between fertility decisions and education. Analyze the relationship for men (Run SPSS "Select Cases" and select only men for the analysis).

1. Compute an ANOVA model for men, using age at first- born child (AGEKDBRN) as the dependent variable and educational degree (DEGREE) as the independent variable.
2. Based on the SPSS output, what can you conclude about the relationship between degree attainment and AGEKDBRN for men?
3. Perform the same analysis for women. How do these results compare to the results for men?

Compute a second ANOVA model for men, using number of children (CHILDS) as the dependent variable and educational degree (DEGREE) as the independent variable. Based on your results, what conclusions can you draw?

Price: $39.72

Solution: The downloadable solution consists of 25 pages, 1472 words and 17 charts.
Deliverable: Word Document