Please see MODEL INDIRECT in the current user's guide on the website. It goes over these questions. The regression of m on x can be a probit regression or a logistic regression and the estimators can be WLSMV or ML. The interpretation will vary with the estimator. These topics are also covered in our book Regression and Mediation Analysis Using Mplus.
seonjoo lee posted on Thursday, August 11, 2016 - 2:10 pm
Thank you for your prompt reply.
In fact, I have to run two-level analysis due to the study design (with random intercept).
And I received the following error message: MODEL INDIRECT is not available for analysis with ALGORITHM=INTEGRATION.
Do you have any suggestion? Should I specify algorithm? If so, what should it be? Thank you.
the counterfactual papers discuss a more appropriate indirect effect based on recent causal inference literature. See the 2015 paper as well as our new book. This is automated in the current Mplus but only for single-level models. You can do it also using Model Constraint as shown in my 2011 paper but it is a long expression.
For multilevel models with random intercepts, the residual variance expressions going into these formulas need to be modified to take into account the between-level variances. This can be done using Model Constraint.