I ran a linear regression model and want to calculate Bayes Factors (BF) for any non-significant effects that are generated by the model. However, the regression model itself is not significant (p = 0.37; i.e. the overall model fit was R^2 = 0.16). I understand BF's can be calculated to gain more insight into non-significant effects, but does that still provide valid information in case the overall model is non-significant?

Thank you in advance for your advice!

  • $\begingroup$ Perhaps a stupid question, but: Is significance also used in the Bayesian paradigm, not only in the frequentist one? $\endgroup$ – Richard Hardy May 15 at 10:51

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