write this. construct a research question based on these results. i used the afrobarometer dataset Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2-3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix. What is the null hypothesis for your question? What research design(s) would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? What is the answer to your research question? What are the possible implications of social change? Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1SES.

4 Multivariate Tests Partial Eta Estimated Marginal Means of MEASURE_1 Value Hypothesis df Error df Sig Squared Pillai's trace 615 9546.657" 2.000 11959.000 000 615 Wilks' lambda 385 9546.657 2.000 11959.000 000 .615 Hotelling's trace 1.597 9546.657 2.000 11959.000 000 615 Roy's largest root 1.597 9546.657 2.000 11959.000 000 615 Each F tests the multivariate effect of Unsafe. These tests are based on the linearly independent Estimated Marginal Means pairwise comparisons among the estimated marginal means. a. Exact statistic Pairwise Comparisons Measure: MEASURE_1 95% Confidence Interval for Mean Difference Unsafe (1) Unsafe (J) Unsafe Difference (I-J) Std. Error Sig. Lower Bound Upper Bound -53.378 418 000 -54.377 52.378 3 -56.183 422 000 -57.194 -55.172 (Ctrl) * 53.378 418 000 52.378 54.377 3 -2.805 273 <.001 .000 based on estimated marginal means the mean difference is significant at .05 level. b. adjustment for multiple comparisons: bonferroni estimates measure: measure_1 confidence interval unsafe std. error lower bound upper>