Problems understanding Bayesian repeated measures anova
I have some problems understanding some parts of the output of a bayesian repeated measures anova. In my study, I have a between subject variable (condition) and a within subject variable (face condition). In the standard analysis I obtain a main effect of face condition. the main effect of condition or interaction between the factors were not significant.
In the Bayesian repeated measures anova analysis I obtained the following results:
As you can see BF10 for the variable face condition is 1.000. What it strikes me is that if I change the bayes factor to BF01, I obtain the same value
Not very sure how to interpret this and it doesn't look right to me, especially when I compared these values with the null model... Any idea?