Discuss issue of statistical power in non-parametric test


Assignment:

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:

a. Dependent t test
b. Independent samples t test
c. Repeated measures ANOVA (one-variable)
d. One-way ANOVA (independent)
e. Pearson Correlation

Part B. SPSS Activity

In this part of Activity #7, you will perform the non-parametric version of the tests you used in Activity 6. 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. Activity4A: non-parametric version of the dependent t test
2. Activity4AReformatted: non-parametric version of the independent t test
3. Activity4C: non-parametric version of the single factor ANOVA

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