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Time Varying Covariate in ML Growth C...
Multilevel Data/Complex Sample
posted on Friday, October 01, 2010 - 6:17 am
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?
Linda K. Muthen
posted on Friday, October 01, 2010 - 8:17 am
We can't understand exactly what you are asking. Please send the three outputs referred to and your license number to
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