Friedman Test. It is used to test for differences between groups when the dependent variable being measured is ordinal. The original variables are ranked within cases.
A nonparametric alternative for a repeated measures anova. Similar to the parametric repeated measures anova it is used to detect differences in treatments across multiple test attempts. In this design one variable serves as the treatment or group variable and another variable serves as the blocking variable.
In this design one variable serves as the treatment or group variable and another variable serves as the blocking variable.
The friedman test is the non parametric alternative to the one way anova with repeated measures. Strictly the friedman test can be used on metric or ordinal variables but ties may be an issue in the latter case. The friedman test is a non parametric statistical test developed by milton friedman. The friedman test determines if there are differences among groups for two way data structured in a specific way namely in an unreplicated complete block design.
