Mplus code for the mediation, moderation, and moderated mediation model templates from Andrew Hayes' PROCESS analysis examplesModel 4a: 1 mediator [BASIC MEDIATION] Example Variables: 1 predictor X, 1 mediator M, 1 outcome Y Preliminary notes: The code below assumes that
Model Diagram: ![]()   Statistical Diagram: ![]()   Model Equation(s):
Y = b0 + b1M + c'X
 
Algebra to calculate total, indirect and/or conditional effects by writing model as Y = a + bX:
Y = b0 + b1M + c'X
Y = b0 + b1(a0 + a1X) + c'X
Y = b0 + a0b1 + a1b1X + c'X
Y = (b0 + a0b1) + (a1b1 + c')X
Indirect effect of X on Y:
a1b1
Direct effect of X on Y:
c'
 
Mplus code for the model:
! Predictor variable - X
USEVARIABLES = X M Y;
ANALYSIS:
! In model statement name each path using parentheses
MODEL:
   Y ON X (cdash);   ! direct effect of X on Y
   M ON X (a1);
! Use model constraint to calculate indirect and total effect
MODEL CONSTRAINT:
OUTPUT:
 
Editing required for testing indirect effect(s) using alternative MODEL INDIRECT: subcommand
MODEL INDIRECT: offers an alternative to MODEL CONSTRAINT: for models containing indirect effects, where these are
not moderated. To use MODEL INDIRECT: instead, you would edit the code above as follows:
First, you can remove the naming of parameters using parentheses in the MODEL: command, i.e. you just need:
MODEL:
Second, replace the MODEL CONSTRAINT: subcommand with the following MODEL INDIRECT: subcommand:
   MODEL INDIRECT:
Leave the OUTPUT: command unchanged.
 
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