JASP BayesFactor interpretation for mixed anova interaction
I am using JASP to analyze the data and bayesfactor of mixed ANOVA, but I got some problem with interpretation.
It's a 3(between)x6(within) ANOVA design. The main effect of within variable(A) is significant, but the main effect of the between variable(B) and interaction( AxB ) are not significant. In the bayesfactor(compare to null model), the BF10 are:
A: BF10 = 1.59e+23
B: BF10 = 0.423
A + B: BF10 = 7.56e+21
A + B + A*B: BF10 = 7.02e+21
Is that I can sure there is a strong evidence for the main effects model and interaction model?
The ANOVA p value is non-significant, I have no idea how to interpret the combine result...
Is the BF10 is as bigger as possible in compare to null model order, and as smaller as possible in compare to best model? I am so confused in these detail...
Thank you very much.