discrepancy between Bayesian and "regular" repeated measures ANOVA
We are new to Bayesian statistics and JASP, and got a result that looks weird to us - we assume that we have a problem with our interpretation.
Our design is a factorial design of 3X3X2 - all within subjects.
We performed both a repeated measures ANOVA and a Bayesian repeated measures ANOVA, and the results seem to differ.
In order to estimate the interaction, we divided the simplest model that includes the interaction with the model without it.
For example, the interaction between Ron and Hermione (which was significant p<0.001):
BF = Ron+Hermione+Ron*Hermione / Ron+Hermione =3.26e64 / 3.2e65 = 0.1,
which we interpret as evidence against the interaction.
(We attached the JASP results)
This seems strange to us. Did we estimate the effect correctly, or need to do something else?
Thank you very much!