Bayesian Repeated Measures ANOVA
I am trying to understand the results of a Bayesian repeated-measures ANOVA.
I want to examine if there is a difference between the two groups (with different subjects) that were tested multiple times for an outcome measure (sprint time). I considered the pre-test, post-test and tapering 1 as "repeated measures factors", the pre-test, post-test and tapering 1 performance as "repeated measure cells", and the groups as "between-subjects factors". In addition, in the main options (order), I select ‘Compare to null model’.
Can you please tell me if my interpretation is correct?
"Using a Bayesian RM ANOVA (prior probabilities of each model were equal to 0.5), the Bayes factor indicates that the data is best represented by a model that included time point as the predictor, the group, and the interaction between the time-point and the group. Post hoc comparisons of pre-test vs. post-test and pre-test vs. tapering 1 revealed posterior odds of 20788.04 and 329497.52 against the null hypothesis, which indicates decisive evidence in favour of the alternative hypothesis. When comparing post-test vs. tapering 1, there was anecdotal evidence in favour of the null hypothesis. Additionally, post-hoc group comparisons exposed posterior odds of 20788.04, indicating moderate evidence in favour of the null hypothesis (no differences between groups)."
Thanks in advance,