Non-parametric tests Flashcards Preview

Stats > Non-parametric tests > Flashcards

Flashcards in Non-parametric tests Deck (10)
Loading flashcards...
1
Q

What are the assumptions of a parametric analysis?

A
  • Data is (roughly) normally distributed

- There is homogeneity of variance

2
Q

How do non-parametric tests work?

A
  • Based on the principle of ranking the data

- Analysis is then carried out on the ranks rather than the actual data

3
Q

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

A

Mann-whitney or wilcoxon rank-sum

4
Q

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

A

Wilcoxon signed-rank

5
Q

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

A

Kruskal-wallis

6
Q

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

A

Friedman’s

7
Q

What do you need to test assumptions?

A
  1. Are your measurements data interval or ratio?
  2. Are they normally distributed?
  3. Is there homogeneity of variance?
8
Q

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

A

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

9
Q

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

A

Wilcoxon

10
Q

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

A

Mann-whitney