question archive 6210 Week 11 Assignment: How To Complete The Assignment Requirement Review the Week 11Course Materials
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6210 Week 11 Assignment: How To Complete The Assignment Requirement
Review the Week 11Course Materials.
Use the Afrobarometer dataset for this Discussion.
Review the 3 Chi-Square scenarios found in this week’s Learning Resources and address each of the 3 scenarios for this assignment.
Note 1: you must address each of the 3 scenarios, you must address each of the 3 scenarios, you must address each of the 3 scenarios.
Note 2: use the variables that are identified in each of the scenarios in your analysis as follows:
Scenario 1 Row 46 Q59H: Trust police & Row 63: Presence of democracy
Scenario 2 Row 46 Q59H: Trust in police & Row 4: Reside: rural, urban, semi-
Scenario 3 Row 10 Q5A: Current econ con & Row 22 Q42: Extent of democracy
Run a Chi-Square Test of Independence for each scenario. Here’s how:
Write a research question for a Chi-Square Test of Independence. Use this format:
- What is the relationship between (state the IV) and (state the DV)?
Write the null hypothesis. Use this format:
-There is no relationship between (state the IV) and (state the DV).
State the research design.
Use SPSS to answer the research question. Here’s how:
-Open the Afrobarometer data set, select Analyze, select Descriptive Statistics, select Crosstabs, drag your IV into the Rows box, drag your DV into the Columns box, Click on Statistics, select Chi-square and Phi and Cramer’s V, select Continue, select Cells, select Observed, Rows, Columns and Totals, select Continue and OK.
-Review the Asymptotic Significance value in the Pearson Chi-Square row of the Chi-Squared Tests SPSS Output and decide to reject or fail to reject the null hypothesis.
Remember, if the Sig. value is less than .05, reject the null and if the Sig. value is greater than .05, fail to reject the null.
-If you reject the null and determine that the Chi-Square is statistically significant, report and explain the meaning of the effect size (strong, medium, weak). Use the Cramer’s V value in the Symmetric Measures box for effect size
If you fail to reject the null and find that the Chi-Square is not statistically significant, then there is no need to calculate, report, or explain the effect size.
Check to make sure you have addressed 3 scenarios. There will be no opportunity to resubmit your assignment.