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Time Varying Covariate in ML Growth C... |
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Dear Mplus-Team and Forum, In my study I want to control my measures at 6 timepoints in an Latent Growth Curve Model by a time-varying covariate. Due to clustered data I will use either TYPE=COMPLEX or TYPE=TWOLEVEL. I tried both and I wonder how time varying covariates are handled in both cases. TYPE = COMPLEX: Correlations with Intercept, Slope and the other Covariates are estimated (good fit, significant effects of the covariates) TYPE = TWOLEVEL: Only the regression y1 on covariate1 is estimated (also good fit and significant effects of the covariates) If I try to replicate the Twolevel Behaviour in the TYPE=COMPLEX Modell the fit is poor and the effects are not anymore significant. It seems like there is anything I don't unterstand. Can somebody give me please a clue? Is that the right procedure to control for a time varying variable? Thanks, Christian |
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