How to interpret BF10 for interaction effect?
Hello! I recently use JASP to conduct a Bayesian regression analysis to examine my Hypothesis. Attitude is the dependent variable, and the three independent variables are persuasion (dichotomy), label (dichotomy), and self-construal (continuous). My hypothesized there would be a three-way interaction on the dependent variable.
I put the three main effects and all the two-way interactions and the three-way interaction into the model. According to the results JASP produced (in attached file), the BF10 of the full model which contains the three-way interaction is 0.240, while the BF10 of the model which only lacks the three-way interaction is 0.054. Dividing them, I could conclude that inclusion of the three-way interaction is around 4 times better than not. However, comparing 0.240 to the BF10 of the null model, which is 1, it seems that the alternative model which contains the three-way interaction is not good at all. I'm confused about how to explain my result properly. Could you help me out?