SPSS Statistics Lab Exercise 10.1

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SPSS Statistics Lab Exercise 10.1 1. Restate the hypothesis linking RACE and FECHLD The hypothesis that links RACE and FECHLD is that whites are more likely than blacks to believe that a woman working has a detrimental impact on their children. 2. Identify the independent and dependent variables in the hypothesis. RACE is the independent variable while FECHLD is the dependent variable. 3. When running crosstabs, which variable should you specify as the row variable? The dependent variable FECHLD should be specified as the row variable. 4. When running crosstabs, which variable should you specify as the column variable? The independent variable RACE should be specified as the column variable. 5. What is the level of measurement for RACE? The level of measurement for RACE is nominal. 6. What is the level of measurement for FECHLD? The level of measurement for FECHLD is ordinal. 7. Now run crosstabs with column percentages to test the hypothesis. When you have produced your table, present your results by filling in the following information: a) List the categories of the independent variable in the spaces provided on line A.
1) STRONGLY AGREE, 2) AGREE 3) DISAGREE 4) STRONGLY DISAGREE b) In the spaces provided on Line B, list the percentage of respondents who “strongly agree” and “agree” with the statement that a woman’s working does not hurt children. Strongly agree + agree = WHITE: 77.2%, BLACK: 80.6%, OTHER: 76.5.6% 8. Are the results consistent with your hypothesis as stated in response to Question 1? Explain. It is consistent with the hypothesis. The hypothesis was that white women would be more likely than black women to believe that their work would impact their children. The data showed that 23% of White women believe their work to be impactful on their children while just under 20% of Black women believe their work impacts their children. 9. Compare Blacks and Whites in terms of agreement with the statement that a woman’s working does not hurt children and give the percentage differences (epsilon). The percentage difference of Blacks (80.6%) to Whites (77.2%) is 3.4% 10. Do the findings show evidence of a casual relationship between RACE and FECHLD? Explain. It would have to be argued that the evidence does not show a casual relationship between RACE and FECHLD because the percentage differences between both categories are small. Independent variable: SEX Dependent variable: FEFAM – better for man to work and for woman to tend home. 11. State and explain the hypothesis involving the independent and dependent variable.
The hypothesis is that both men and women believe it is better for the man to work and for the women to tend home, with men having higher rates than women. 12. Identify the independent and dependent variable in the hypothesis. The sex of the respondent will be the dependent variable while FEFAM will be the independent variable. 13. Which variable will be placed in the column, and which in the row? Column: SEX Row: FEFAM 14. What is the level of measurement for each of the variables? SEX: Nominal FEFAM: Ordinal 15. Run Crosslabs: List the abbreviated variable names: FEFAM by SEX Categories of the independent variables: SEX Male and Female List the percentages of respondents who strongly agree and agree with FEFAM. Males who strongly agree and agree: 5.5% + 20.9% = 26.4% Females who strongly agree and agree: 4.8% + 20.3% = 25.1%
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16. Are the results consistent with the hypothesis? Explain. The results are not consistent with the hypothesis. Both males and females were hypothesized to believe that it was better for men to work while women tend to the home. However, both men and women didn’t significantly believe this and were rather close in disagreement instead. 17. Compute epsilon Epsilon = 26.4% - 25.1% = 1.3% 18. Do the findings show evidence of a casual relationship between the independent and dependent variable? Explain. The evidence does not show a casual relationship between the two variables due to the epsilon being only 1.3%. Independent variable: EDUC – highest year of school completed. Dependent variable: FEFAM – better for man to work and for woman to tend home. 19. State and explain the hypothesis involving the independent and dependent variable. The hypothesis is that regardless of one’s education that male and female respondents, they will not believe that it is better for men to work while women tend to the home. 20. Identify the independent and dependent variable in the hypothesis.
The education level of respondents will be the independent variable while FEFAM will be the dependent variable. 21. Which variable will be placed in the column, and which in the row? Column: EDUC Row: FEFAM 22. What is the level of measurement for each of the variables? EDUC: Ratio FEFAM: Ordinal 23. Run crosstabs and analyze the findings: What are the findings? Elementary/middle school agree and strongly agree: 46.9% Some high school and/or high school agree and strongly agree: 31.9% Some college agree and strongly agree: 27.8% College agrees and strongly agree: 13.8% Post bachelors agree and strongly agree: 20.5% Are the results consistent with the hypothesis? The data is not consistent with the hypothesis due to the less education a respondents have; the more likely respondents believe it is better for men to work and women to tend the home. As the level of education goes up, the more
respondents don’t believe that men should work, and women should tend the home. Is there an association between the variables? If so, how strong? Epsilon = 46.9% - 13.8% = 33.1% There is an association between the variables due to the epsilon being 33.1% Additionally, it is a negative association due to the EDUC variable increasing while FEFAM variable is decreasing. Is the association worth examining further? Why or why not? It can be argued that the associated between both variables is worth examining due to the significant impact that education plays on gender roles in society. 24. Complete!!!
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