Bayesian repeated measures ANOVA
Hello,
I wrote in this forum before, but received no answer, which unfortunately I would very much need because a reviewer asked for Bayesian ANOVA and even after reading forums and papers I am still not sure which is the most adequate and acceptable way to quantify the Bayes factor of an interaction effect (and of main effects) in an ANOVA.
For example, to quantify the Bayes factor of an interaction effect, I should report:
1) the BF incl for that effect,
or
2) the BF resulting from comparing the models including the main effects and either including or excluding the interaction?
Thank you in advance for your help
My previous poster with more info is here: https://forum.cogsci.nl/index.php?p=/discussion/6091/bayesian-repeated-measures-anova#latest
Comments
From the two options, I would suggest BF incl - make sure to mark "compare across matched models". (See explanation here.)
You can also check out a reporting guideline for BF incl I wrote for my students here. (Instead of citing bayestestR you would cite JASP)
With few models in play, I would just interpret the standard output table of models. As the model space grows large, it is increasingly attractive to report the inclusion BFs. But nothing is stopping you from reporting both, of course. Just put an annotated .jasp file on the OSF...
Cheers,
E.J.