I have a dataset with one factor consisting of four levels. I've run a one-way repeated measures ANOVA on the data, which came out significant. However, for the follow-up pairwise, bonferroni adjusted, comparisons, none of them came out significant. (Why this is possible have been covered in several threads before, for example this one.)
Now, I don't really know how to interpret my data. Can I conclude that there at least is a difference between the two levels in my data set with the largest difference, because the ANOVA came out significant, or will I have to reject this conclusion because my pairwise comparisons all came out non-significant?
Note that it might be the case that I, in my specific situation, would be able to find a post-hoc test that came out significant, but my question is more directed towards the general question of how to interpret the analysis results in a situation where a significant post-hoc couldn't be acquired.
Also, this question is somewhat related to mine.