Just compiled this for a friend, putting it here for the world. She was trying to understand a paper so she could do a similar analysis and she was getting confused by what I was saying. It turned out that the paper used the wrong test: they used Kruskal-Wallace when they should have used Friedman, because they had repeated measurements in the same monkeys. It’s kind of a mess.
Basic single-factor statistical tests, “ordinary” parametric statistics:
Parametric Tests | Independent Samples | Non-independent Samples (Repeated Measures) |
---|---|---|
More than |
One-way ANOVA | One-way repeated-measures ANOVA |
Two samples |
T-test | Paired T-test |
Basic single-factor statistical tests, non-parametric statistics:
Non-Parametric Tests | Independent Samples | Non-independent Samples (Repeated Measures) |
---|---|---|
More than |
Kruskal-Wallace Test | Friedman Test |
Two samples |
Mann-Whitney U-test |
Wilcoxson Signed Rank Test |