Interpreting complex bayesian repeated measures anova
I am new you JASP and the use of Bayesian statistics, and i have trouble with the interpretation of my output.
For the analysis i made use of a repeated measures anova with two factors (3 levels per factor). The analysis was for a working memory test with 3 levels (very low wm load, low wm load and high wm load). The participants did this task in 3 different sessions (2 weeks in between). The experimental condition was the difference between an active and placebo group.
My main interest is the difference between the groups. Does the active group get a higher or lower score in the working memory task than the placebo group?
As it is my first time using this method, i am unsure about how to interpret the effects (what value do i look at?) and how to report those.
In the literature i can only find examples of more easy tasks, but not of a complex analysis as this one.
Can you please help me?