Analyses of interactions

uqlleow

I have it drummed in me that with frequentist statistics, comparing two experimental effects requires a statistical test on their difference, as per Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E. J. (2011). Erroneous analyses of interactions in neuroscience: a problem of significance. Nature neuroscience, 14(9), 1105-1107.

Does the same apply to Bayesian statistics?

On a separate issue: in some of my analyses, I have indeterminate evidence (indeterminate inclusion Bayes Factor) for an effect, but the post-hoc t-test analysis shows strong evidence for the alternative hypothesis. Am I justified in making interpretations based on the post-hoc t-test, or should I constrain my interpretations based on the indeterminate inclusion Bayes Factor?

Thank you in advance for your help!

EJ

1. Yes the same applies for Bayesian statistics
2. Reporting both seems a good idea?!