Testing assumptions for Bayesian Repeated Measure ANOVA
Dear E.J. plus everyone in the forum,
If I run the classical RM ANOVA in SPSS, by default it produces a table of Mauchley's Test for Sphericity, thus allowing one to check for assumptions and where it is violated, to apply Greenhouse-Geisser corrections for instance. When I run Bayesian RM Anova in JASP, I do not get this assumption displayed in the output and there is no option for checking this assumption. My question is, does Bayesian RM Anova make assumption for sphericity? If it does, how can this be tested? Secondly, does it make assumptions for normality? It will be interesting to point out what assumptions are there for using Bayesian tests (e.g., ANOVA, T-test, etc..). My colleagues have asked me including my students and I have no answer for this or where to refer them to. I truly love JASP an have been encouraging them to use Bayesian statistics as opposed to frequentist statistics.
Thanks for your response.