5. Use the GSS2016.SAV file and SPSS to produce a CROSSTAB for the variables PREMARSX and SEXEDUC. Before conducting the analyses, reverse code PREMARSX into R_PREMARSX so that 1 = Never Wrong; 2 = Sometimes Wrong; 3 = Almost Always Wrong; and 4 = Always Wrong. Then, dummy code SEXEDUC into D_SEXEDUC so that 1 = Oppose and 0 = Favor. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer's V, Lambda, or Gamma). (Hint: Even though SEXEDUC is only two categories, it has ordinal properties here). Set alpha to .05.

a. State the null and research hypotheses:

H0:

H1:

a. What is the obtained chi-square value?

b. What is the significance level (p-value) for the obtained chi-square?

c. Should we reject or fail to reject the null hypothesis?

d. Is there a statistically significant relationship between these variables?

e. Which measure of association would be most appropriate for these variables?

f. What is the value of the measure of association?

g. Interpret your findings by explaining in full sentences whether there is a statistically significant relationship or not and the strength of the relationship. Also explain any patterns you see in the percentages:

6. Use the GSS2016.SAV file and SPSS to produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer's V, Lambda, or Gamma). Set alpha to .05.

a. State the null and research hypotheses:

H0:

H1:

a. What is the obtained chi-square value?

b. What is the significance level (p-value) for the obtained chi-square?

c. Should we reject or fail to reject the null hypothesis?

d. Is there a statistically significant relationship between these variables?

e. Which measure of association would be most appropriate for these variables?

f. What is the value of the measure of association?

g. Interpret your findings by explaining in full sentences whether there is a statistically significant relationship or not and the strength of the relationship. Also explain any patterns you see in the percentages: