Very discrepant results from Repeated-Measures ANOVA and Bayesian R-M ANOVA
I'm running a 2*3 repeated ANOVA in JASP (0.10.2) using the frequentist and Bayesian method. However, for the main effect of one of the factors, the p-value from ANOVA is <.0.005 when the BF10 is less than 1. This happened to multiple dependent variables. I'm attaching screenshots of the results below:
- DV1: For the main effect of "Object", BF10=0.149 when p=.003
2. DV2: For the main effect of "object", BF10=0.376 when p<.001
For DV2, if I collapse the factor "effector" and only insert "object" as a one-way Bayesian repeat-measures ANOVA, the BF10 is 1.8e+7, which makes more sense given the p values . Does anyone have any insights on why the R-M ANOVA and Bayesian R-M ANOVA output such different results?