Hi there. I am trying some mediation path modelling. I have a series of predictors on my DV, some of which are mediated by others. However, two predictors have a bidirectional relationship. In other words
SelfForg on guilt apology recvforg morforg; apology on guilt; recvforg on apology; morforg on apology; guilt on apology;
There is more, but that's the important part. Once I introduce the non-recursive element to the model (guilt on apology;), I can no longer get the strength of each possible mediating path.
model indirect: SelfForg ind apology;
USED to generate a whole bunch of different mediating paths. Now it just tells me the sum total indirect effects and direct effects of apology on self-forgiveness (SelfForg). Does that make sense? What I want is to know how much of the indirect effect goes through each possible pathway (E.g., apology --> recvforg --> selfforg). Is there any way to do that? Or does adding the loop somehow derail our ability to know the strength of the individual mediating pathways (because you could go around in circles forever)?