Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?

Instructions

This week your SPSS work will focus on explaining non-parametric tests. You will submit one Word document for this assignment, In the first part, you will provide short answers to the following questions.

Begin by downloading the following SPSS datasets:

• Activity 8a.sav (found in Excel)
• Activity 8b.sav (file you created in excel)
• Activity 8c.sav (found in excel)

Part A. Questions about non-parametric procedures

1. What are the most common reasons you would select a non-parametric test over the parametric alternative?
2. Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?
3. For each of the following parametric tests, identify the appropriate non-parametric counterpart:
   1. Dependent t test
   2. Independent samples t test
   3. Repeated measures ANOVA (one-variable)
   4. One-way ANOVA (independent)
   5. Pearson Correlation

Part B. SPSS Assignment
In this part of the assignment, you will perform the non-parametric version of the tests you used previously. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test. Using the data files from earlier activities, complete the following tests and paste your results into the assignment Word document:

1. Activity 8A: non-parametric version of the dependent t test
2. Activity 8B: non-parametric version of the independent t test
3. Activity 8C: non-parametric version of the single factor ANOVA

Length: 100-200 words per question

Your paper should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your paper should reflect scholarly writing and current APA standards