2x2 repeated measures Bayesian ANOVA (interaction) with JASP

#1
Hi all,
One reviewer asked me to include Bayesian analysis in my paper, but I am not sure that I am getting this right, so any help would be much appreciated. I paste the output with BF10 and with BF01:

1639055177275.png

1639055199153.png

I think my analysis shows the following:
  1. The differences in face conditions are 1.063e +14 more favoured than the lack of differences b (BF10 = 1.063e +14, posterior M = 5.47, SD = .55, CI = 4.29 – 6.54).
  2. The lack of differences in cond was 4.88 times more favoured compared to the differences between groups (BF01 = 4.88, posterior M = -.25, SD = .92, CI = -2.23 – 1.5).
  3. The lack of interaction was 4.14 times more favoured than the interaction (BF01 = 4.14, posterior lM = -.28, SD = .51, CI = -1.32 – 0.72).
Is this interpretation correct? My understanding is that for the interaction I need to check the analysis of the effects table, am I right?
Any help would be much appreciated.
Thanks!