Difference between "Baws" Factor and BFinclusion
Dear JASP team,
Thank you for the great work on the program and adding the BFinclusion factor for RM ANOVAs. Because I was used to calculating a Bayes Factor for an interaction effect by hand (according to the "Bayes like a Baws" post), I did this first and then realized that the new BFinclusion features exists. Interestingly, I get different values for the same interaction effect with both methods. Therefore, I wanted to ask what the exact differences between both calculations are and which one might be more suitable or easier to interpret?
Thanks for the help!