chapter 13 assignment C

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Abigail Cates To complete these exercises, load your ADVENTURES data file. Each question is worth 4 points. Run crosstabs with column percentages for the variables RACE (independent) and POLHITOK (dependent). Then, request the appropriate measure of association, and answer Questions 1 through 7. 1. Go online to the GSS website and write down the full question that corresponds to the variable POLHITOK. Are there any situations you can imagine in which you would approve of a policeman striking an adult male citizen? 2. What is the level of measurement for the variable RACE? Nominal 3. What is the level of measurement for the variable POLHITOK? Nominal 4. What measure of association is appropriate to examine the relationship between these variables? Lambda 5. Record the percentage of respondents who said “Yes” to POLHITOK for each category of the variable RACE. RACE White Black Other Yes 73.8% 34.4% 39.1% 6. The value of _lambda__________(measure of association) is __.204_________(value). 7. Would you characterize the relationship between these two variables as weak, moderate, or strong? Explain. I would interpret the relationship between RACE and POLHITOK to be moderate/worth noting since a lambda value of .204 represents a difference in mistakes of 20%. For questions 8 - 13 you will work with two nominal variables: GRASS and MARITAL 8. Which is the independent and which is the dependent variable? MARITAL is the independent and GRASS is the dependent variable. 9. Write a hypothesis relating these two variables. I hypothesize that black people use marijuana more frequently than white people, therefore more of them will think it should be legalized. 10. What measure of association is appropriate to examine the relationship between these variables? Lambda 11. Record the percentage of respondents who said “Legal” to GRASS for each category of the variable MARITAL. MARITAL Married Widowed Divorced Separated Never
Married Legal 59.6% 46.5% 63.7% 70.5% 77.2% 12. The value of __lambda_________(measure of association) is __.016_________. 13. Would you characterize the relationship between these two variables as weak, moderate, or strong? Explain. I would interpret the relationship between MARITAL and GRASS to be weak/uninteresting association since a lambda value of .016 represents a difference in mistakes of 2%. For the remaining questions, you will work with the variables RACWORK (Independent) and DISCAFF (dependent). 14. Go online to the GSS codebook or GSS website and write down the full question that corresponds to the RACWORK variable: Are the people who work where you work all white, mostly white, about half and half, mostly black, or all black? 15. What is the full question for DISCAFF? What do you think the chances are these days that a white person won't get a job or promotion while an equally or less qualified black person gets one instead? 16. What is the level of measurement for the variable RACWORK? Ordinal 17. What is the level of measurement for the variable DISCAFF? Ordinal 18. What measure of association is appropriate to examine the relationship between these variables? Gamma 19. Record the percentage of respondents who said “very likely” and “somewhat likely” to DISCAFF for each category of the variable RACWORK. Leave a square blank or put a dash in it if there were 5 or fewer respondents in that square. DISCAFF RACWORK All White Mostly White Half White – Half Black Mostly Black All Black Very likely 12% 12.4% 12.1% 16.9% - Somewhat likely 50% 40.5% 39.9% 18.6% 66.7% 20. The value of ___gamma________(measure of association) is __.10_________. 21. Would you characterize the relationship between these two variables as weak, moderate, or strong? Explain. The relationship between the variables RACWORK and DISCAFF is moderate/worth noting because the gamma value of .10 is a 10% difference. 22. What is the direction of association between these variables? (This means is it positive or negative. See pages 223 and 231.)
The direction of association between the variables is positive.
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