Hi, I was wondering whether it makes sense to interpret p-values in BSEM the same way than in frequentist approach (rejection over a certain threshold). Similarly, standardized coefficients in BSEM are interpreted in the same way than in ML?
Thanks for your reply, I still have a doubt: can i make an interpretation about the proporion of cases on each side of the zero (that is the lower bound of th CI divided by the full range)? Or the credibility intervals give only range of the estimate, like confidence intervals? In other words, do the credibility intervals refer to number of observations or the possible values that the parameter can assume?