Bayesian regression analysis using JASP
I am new at using JASP and I was wondering whether you could help me out with some issues I have running a Bayesian regression analysis.
I have been asked to use Bayes factor to strengthen my analyses in order to be able to make more correct inferences about my non-significant results. I was told to do this using JASP but I have a couple of questions regarding how to correctly carry out my analysis.
First of all, I have to carry out a regression analysis that includes binary as well as continuous variables as predictors, but when I choose to do Bayesian regression in JASP it does not allow me to include nominal variables as covariates. Is there a way to get around this i.e. can I treat the variables as scale with the levels 0 and 1? Or is it simply not possible to do Bayesian regression with binary predictors in JASP?
Secondly, if I want to set an objective prior do I select the Uniform option for Model prior in the Advanced options?