I have to do a non-parametric test on data because the distribution is not normal. The data is about the effectiveness of 2 different Aphasia therapies.
There are 54 Aphasia patients tested before any treatment, after treatment type A and after treatment type B. Each patient has undergone both treatments.
I'm doubting between a Wilcoxon-signed-rank and a Friedman's Anova. Can anyone help me? I think I have to do the Wilcoxon compairing the pre-test with treatment type A scores and again compairing the pre-test with treatment type B scores, but I'm not sure.