Bayesian Linear Regression in JASP
For a study I would like to do a hierarchical linear regression, in which in the first step I enter my control variables (e.g., age, gender, etc) and in the second step the remaining three variables of interest. I have done this only in SPSS previously, so I was wondering how to approach this from Bayes perspective using JASP? Should I add my control variables to the null model and then report which model (of the remaining 3 variables) explained the data best, or add nothing to the null model and just say which model explains the data best (for example, the model including the control variables and one of the variables of interest)?
Thank you very much in advance,