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Using the frequentist approach, if I run an ANOVA and look at the interaction or if I calculate difference scores and run a t-test, both will return identical p-values. Can the same be said of BFs and if not, why not?
You can try it out.
I recall that the results are slightly different, and this is because the underlying models are not identical (i.e., the prior predictions about to-be-observed data are not the same).