Problem 12.12 analyzed some bivariate relationships taken from a recent public opinion survey.

Political ideology was used as the independent variable for five different dependent variables, and, using only percentages, you were asked to characterize the relationships in terms of strength and direction. Now, with the aid of measures of association, these characterizations should be easier to develop. Compute a Cramer’s V and a lambda for each table in problem 12.12. Compare the measures of association with your characterizations based on the percentages.

Following are the same five dependent variables cross-tabulated against gender as an independent variable. Compare the strength of these relationships with those for political ideology. Which independent variable has the stronger associations?

PS

a. Support for the legal right to an abortion by gender:

Right to Gender Abortion? Male Female Totals Yes 310 418 728 No 432 618 1050 Totals 742 1036 1778

b. Support for capital punishment by gender:

Capital Gender Punishment? Male Female Totals Favor 908 998 1906 Oppose 246 447 693 Totals 1154 1445 2559

c. Approve of suicide for people with incurable disease by gender:

Right to Gender Suicide? Male Female Totals Yes 524 608 1132 No 246 398 644 Totals 770 1006 1776

d. Support for sex education in public schools by gender:

Sex Gender Education? Male Female Totals Favor 685 900 1585 Oppose 102 134 236 Totals 787 1034 1821

e. Support for traditional gender roles by gender:

Women Should Take Care of Running Their Homes and Leave Running Gender the Country to Men Male Female Totals Agree 116 164 280 Disagree 669 865 1534 Totals 785 1029 1814