Mplus code for mediation, moderation, and moderated mediation models
Model 80: 3 or more mediators, both in parallel and in series
Example Variables: 1 predictor X, 3 mediators M1, M2, and M3, 1 outcome Y
Preliminary notes:
The code below assumes that
 The primary IV (variable X) is continuous or dichotomous
 Any moderators (variables W, V, Q, Z) are continuous, though the only adaptation required to handle dichotomous moderators is in the MODEL CONSTRAINT: and loop plot code  an example of how to do this is given in model 1b. Handling categorical moderators with > 2 categories is demonstrated in
model 1d.
 Any mediators (variable M, or M1, M2, etc.) are continuous and satisfy the assumptions of standard multiple regression. An example of how to handle a dichotomous mediator is given in model 4c.
 The DV (variable Y) is continuous and satisfies the assumptions of standard multiple regression. An example of how to handle a dichotomous DV is given in model 1e (i.e. a moderated logistic regression) and in model 4d (i.e. an indirect effect in a logistic regression).
Model Diagram:
Statistical Diagram:
Model Equation(s):
Y = b0 + b1M1 + b2M2 + b3M3 + c'X
M1 = a01 + a1X
M2 = a02 + a2X
M3 = a03 + a3X + d1M1 + d2M2
Algebra to calculate total, indirect and/or conditional effects by writing model as Y = a + bX:
Y = b0 + b1M1 + b2M2 + b3M3 + c'X
M1 = a01 + a1X
M2 = a02 + a2X
M3 = a03 + a3X + d1M1 + d2M2
Hence... substituting in equations for M1 and M2 into Y and M3
Y = b0 + b1(a01 + a1X) + b2(a02 + a2X) + b3M3 + c'X
M3 = a03 + a3X + d1(a01 + a1X) + d2(a02 + a2X)
Hence... substituting in equations for M3 into Y
Y = b0 + b1(a01 + a1X) + b2(a02 + a2X) + b3(a03 + a3X + d1(a01 + a1X) + d2(a02 + a2X)) + c'X
Hence... multiplying out brackets
Y = b0 + a01b1 + a1b1X + a02b2 + a2b2X + a03b3 + a3b3X + a01d1b3 + a1d1b3X + a02d2b3 + a2d2b3X + c'X
Hence... grouping terms into form Y = a + bX
Y = (b0 + a01b1 + a02b2 + a03b3 + a01d1b3 + a02d2b3) + (a1b1 + a2b2 + a3b3 + a1d1b3 + a2d2b3 + c')X
Hence...
Five indirect effects of X on Y:
a1b1, a2b2, a3b3, a1b3d1, a2b3d2
One direct effect of X on Y:
c'
Mplus code for the model:
! Predictor variable  X
! Mediator variable(s) – M1, M2, M3
! Moderator variable(s)  none
! Outcome variable  Y
USEVARIABLES = X M1 M2 M3 Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
BOOTSTRAP = 10000;
! In model statement name each path using parentheses
MODEL:
Y ON M1 (b1);
Y ON M2 (b2);
Y ON M3 (b3);
Y ON X (cdash); ! direct effect of X on Y
M1 ON X (a1);
M2 ON X (a2);
M3 ON X (a3);
M3 ON M1 (d1);
M3 ON M2 (d2);
! Use model constraint to calculate specific indirect paths and total indirect effect
MODEL CONSTRAINT:
NEW(a1b1 a2b2 a3b3 a1d1b3 a2d2b3 TOTALIND TOTAL);
a1b1 = a1*b1; ! Specific indirect effect of X on Y via M1 only
a2b2 = a2*b2; ! Specific indirect effect of X on Y via M2 only
a3b3 = a3*b3; ! Specific indirect effect of X on Y via M3 only
a1d1b3 = a1*d1*b3; ! Specific indirect effect of X on Y via M1 and M3
a2d2b3 = a2*d2*b3; ! Specific indirect effect of X on Y via M2 and M3
TOTALIND = a1b1 + a2b2 + a3b3 + a1d1b3 + a2d2b3; ! Total indirect effect of X on Y via M1, M2, M3
TOTAL = a1b1 + a2b2 + a3b3 + a1d1b3 + a2d2b3 + cdash; ! Total effect of X on Y
OUTPUT:
STAND CINT(bcbootstrap);
Editing required for testing indirect effect using alternative MODEL INDIRECT: subcommand
MODEL INDIRECT: offers an alternative to MODEL CONSTRAINT: for models containing indirect effects, where these are
not moderated. To instead use MODEL INDIRECT: to test this model, 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:
Y ON X M1 M2 M3;
M1 M2 ON X;
M3 ON M1 M2 X;
Second, replace the MODEL CONSTRAINT: subcommand with the following MODEL INDIRECT: subcommand:
MODEL INDIRECT:
Y IND X;
Leave the OUTPUT: command unchanged.
Return to Model Template index.
To cite this page and/or any code used, please use:
Stride, C.B., Gardner, S., Catley, N. & Thomas, F.(2015) 'Mplus code for the mediation, moderation, and moderated mediation model templates from Andrew Hayes' PROCESS analysis examples', http://www.offbeat.group.shef.ac.uk/FIO/mplusmedmod.htm
