Instead of comparing two posterior distributions, just fit one model including both possible explanations of the data.

Gabriel Weindel writes: I am a PhD student in psychology and I have a question about Bayesian statistics. I want to compare two posterior distributions of parameters estimated from a (hierarchical) cognitive model fitted on two dependent variables (hence both fits are completely separated). One fit is from a DV allegedly containing psychological process X …