Repeated factorial mixed anova
I would like to do a Bayesian repeated factorial mixed anova analysis. My study involves a treatment condition vs a placebo condition (main effect: condition) and measurement before and after treatment (main effect: time). My Ha is that there is an interaction effect vs H0 there is no effect.
The output of JASP is the following:
I read that through transitivity you could make the statement that there is moderate evidence against an interaction effect by dividing BF10 of Tijd + Conditie + Tijd * Conditie (1.475) by BF10 of Tijd + Conditie (5.058) = 0.29. Is that a correct interpretation?
Next to that, if I would like to say something about the likelihood of the null-model vs the interaction effect. Is that possible and how should I calculate that?