Medium, Wide, and Ultrawide Priors for Bayesian ANOVA
I analyzed my data with JASP, submitted it, and now the reviewers require of me to do the analyses again but with different priors to check the robustness for my Bayesian ANOVAs. I know that this is easily done with Bayesian t-tests, but could not find how I can do this for the ANOVAs. I think it would be sufficient if I could run the ANOVAs again, but with different priors (medium, wide, and ultrawide). I see that in the advanced options under 'prior' I can adjust 'r-scale fixed effects' and 'r-scale random effects'. I assume these have to do something with what I am trying to achieve, but am not sure which numbers I have fill out to achieve medium/wide/ultrawide priors. Some help would be much appreciated!