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Mixed Effects model in MPLUS |
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EFried posted on Wednesday, June 06, 2012 - 7:07 pm
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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 |
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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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