Structural equation models: how to handle confounding variables
As someone new to SAS JMP structural equation modeling (SEM), I am seeking advice on how to properly address confounding variables in my SEM analyses. I could not find appropriate guidelines about how control for these confounding variables in the current literature. I would appreciate any suggestions that can ensure that confounding variables are properly accounted for. Thank you in advance!