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Flashcards in Non-parametric tests Deck (10)
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1

What are the assumptions of a parametric analysis?

-Data is (roughly) normally distributed
-There is homogeneity of variance

2

How do non-parametric tests work?

-Based on the principle of ranking the data
-Analysis is then carried out on the ranks rather than the actual data

3

What is the non-parametric equivalent for independent measures t-test?

Mann-whitney or wilcoxon rank-sum

4

What is the non-parametric equivalent for repeated measures t-test

Wilcoxon signed-rank

5

What is the non-parametric equivalent for a one-way independent ANOVA?

Kruskal-wallis

6

What is the non-parametric equivalent for a one-way repeated ANOVA?

Friedman's

7

What do you need to test assumptions?

1. Are your measurements data interval or ratio?
2. Are they normally distributed?
3. Is there homogeneity of variance?

8

Do normality tests need to be non-sig or sig?

sig = no normal distribution (non-parametric test needed)

9

What post-hoc test would you use for a repeated test?

Wilcoxon

10

What post-hoc test would you use for an independent test?

Mann-whitney