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A common scenario for psychology research is to test whether or not two data sets differ on a particular variable. For example, you may wish to determine if there is a statistically significant difference between anxiety levels before and after a proposed treatment strategy. There are a number of tests available for comparing two data sets, depending on the nature of the data and the experimental design.
See the discussions about experiment design and parametric vs non-parametric for help selecting an appropriate test for your data.
|Independent groups||Independent t-test||Mann-Whitney U test|
Wilcoxon rank-sum test
|Same subjects||Paired t-test||Wilcoxon signed-rank test|
The parametric tests rely on the following assumptions: