Interpretation help (RM ANOVA)
unfortunately, I have a problem that I can not handle. I found a significant interaction effect (p < .02) based on classical repeated measures ANOVA analysis but I got an anecdotal BFinclusion interaction score of ~1.6 based on Bayes analysis. Now my problem is how I should handle this in a paper. When I would publish the results without the BFs everything would be fine, but now I have to find the right words when I include the BFs. Because now a reviewer could possibly say that my study was not designed well enough to find the effect (or results are "worthless" because I can not say whether H0 or H1 is supported) and rejects the paper?
Another problem in this context is that I can not explain what the prior in the repeated measures ANOVA really means (r scale fixed effect of: 0.5; r scale random effects: 1; and r scale covariates: 0.354).
Thanks for any advice or help!