Respected researchers,
I am using The Friedman Test in order to determine the statistical version of significant differences of means within the sessions in a group. Can I do this?
Hello,
The Friedman test is a non-parametric statistical test .Similar to the parametric repeated measures ANOVA, it is used to detect differences in treatments across multiple test attempts. The procedure involves ranking each row (or block) together, then considering the values of ranks by columns. The Friedman test is used for one-way repeated measures analysis of variance by ranks. In its use of ranks it is similar to the Kruskal–Wallis one-way analysis of variance by ranks.
Why are you not using one way ANOVA?
Respected researcher
As I understand, Kruskal-Wallis is a version of a non-parametric test to identify significant differences betwenn 3 or more independent groups. One way ANOVA is used as the parametric version to fit the same purpose. However, the friedman test is used to identify differences in treatment across multiple test attempts within sessions in a group.
This test is based on rank and median, not mean value and variance. If the nature of data is ordinal or the data are not normally distributed, you can use it. If the data is continuous and normally distributed, you should use rmANOVA.
So actually what is the main purpose of using the Friedman Anova test?
Yes. You can use the Friedman Test in order to determine the statistical version of significant differences of means within the sessions in a group, if the data is not normally distributed and is of ordinal type.
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