I am trying to test a hypothesis for my Masters Thesis.
There are 3 conditions (I will name them X, Y, Z), in each of which the data isn't normally distributed, and measures the improvement for each condition. I ran a Friedman test as a repeated measure, and in post-hoc I ran a Wilcoxon test with the Bonferroni adjustment.
My problem is that I want to compare only X vs Y and X vs Z (and not Y vs Z).
My question is this: for the Bonferroni correction do I need to divide by 2 or 3?
On one hand, there are 3 comparisons done in the SPSS test, but on the other I'm only interested in 2 of them.
Does this even count as a repeated measure?