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I am relatively new to Mplus and patternmixture modeling (PMM) and have a question about the PMM example in the Mplus user guide, that is example 11.4. In a non Structural Equation Modelling framework when carrying out a PMM one would need to carryout post estimation manipulation of the parameter estimates to get the average intercept and slope (see following document http://www.ssicentral.com/supermix/Documentation/l2Sls.pdf). Is this not necessary within Mplus? For instance in example 11.4 (see output file on mplus website) is the average intercept accounting for dropout 1.903 and the average slope 1.123? So I do not need to use the estimates of I on d1d5 post estimation to calculate the average intercept? Thanks for your time. 


The intercept of e.g. i is not the mean of i. If you want the mean i and s you have to take into account the effects of the d variables. You can do this using the Model Constraint command with parameter labels given in the Model command. 


Many thanks for your quick response. Is this what I would need to do to get the mean of I? MODEL: i s  y0@0 y1@1 y2@2 y3@3 y4@4 y5@5; i ON d1d5 (p1p5); s ON d3d5; s ON d1 (1); s ON d2 (1); [i] (a); [d1d5] (m1m5); MODEL CONSTRAINT: NEW(int); int = a + m1*p1 + m2*p2 + m3*p3 + m4*p4 + m5*p5; 


This looks right. 

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