Setting Priors in JASP
From what I understand, one can set the Cauchy prior width acordding to a speculated effect size when preforming a Bayesian t-test, such that if I think my effect should be around 0.6, I would set the Cauchy prior width to 0.6 (correct me if I'm wrong).
What I still don't understand is the Beta* prior width for correlations - can it be used in the same manner?
If I expect an r=~0.6, would I set the Beta* prior width to 0.6?
Or in other words, how do I translate an expected effect size/correlation to Beta* prior width?