Bayes Correction for multiple testing
As Post Tests for a bayesian rm-ANOVA I conducted a bayesian dependent t-tests with a BF correction as proposed in this feed and the papers mentioned there (de Jong, and van den Bergh et al.)
Since I had 4 comparisons I multiplied the BFs by 0.4142.
And here lies my problem. For one comparison I receive a BFcorr of 0.07 (BF10uncorrected = 0.173), indicating a positive (Raftery) or strong (Jeffreys) support for H1. But the means of this comparison are literally the same (M = 497) and the SDs pretty much too (48 vs 46).
So my question is whether or not with this correction only the "positive side" of BFs count. Or do I not correct BFs between 1-3 and 1-0.33?
This is the first time I work with Bayes Factors and JASP and the error could possibly lie within my settings, since I do not understand everything yet. I just opened a bayesian paired t-test, entered my variable pairs and left all settings at the default (Measure 1 =/= Measure 2, BF10, Cauchy scale = 0.707 ).
I do not get any prior or posterior odds in the output, which could help me with the interpretation.
If need be, I can provide the dataset or more detailed information.
Thanks for any help or advices,