Mixed Effects model in MPLUS PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 EFried posted on Wednesday, June 06, 2012 - 7:07 pm
Dear Linda & Bengt.

We would like to use MPLUS to rerun a previous R analysis for publication. Mixed effects models in R use listwise deletion, and we would prefer using FIML.

We are using a multivariate mixed-effects model in R, exploring the differential effects of covariates x1 through x10 on 9 response variables Y1 to Y9. 5 measurement points.

Y ~ Y_index * ( time + x1 + x2 + x3) + (time|subject)

Y_index denominates the 9 response variables, Y the outcome on all response variables. The random effects "time" and "subject" are correlated. The data are in a long-long format (every subject has time*Y_index lines=45 lines).

The data are usually considered "multilevel" because of the 5 measurement points, but there are no additional grouping factors.

For such models, the MPLUS manual refers the reader to chapter 6 (within chapter 9), but if we understand correctly a parallel growth model is fundamentally different from a multivariate mixed effects model with random effects.

Chapter 9 and Chapter 10 are not what we are looking for, either (our data are not complex survey and we're not looking for mixture modeling).

Thank you
 Linda K. Muthen posted on Thursday, June 07, 2012 - 10:56 am
It sounds like you want 9 parallel processes expanding on Example 6.13.This example uses wide format. If you want long format, expand Example 9.16. I don't know what you mean by a multivariate mixed effects model with random effects.
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