Obtaning and comparing predicted values PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Kelvin Choi posted on Thursday, August 27, 2009 - 4:59 pm
Hi,

I have a longitudinal dataset with several age cohorts and modeled a growth curve for each one. I would like to obtain a predicted value at a particular follow-up time for all cohorts (e.g. at Round 4 of data collection), and compare these estimates to see if they are statistically different. How can I do it?

Thanks,
Kelvin
 Linda K. Muthen posted on Thursday, August 27, 2009 - 9:19 pm
You can use MODEL CONSTRAINT to compute these new parameters and test if there difference is zero.
 Kelvin Choi posted on Friday, August 28, 2009 - 6:14 pm
Maybe I have not made my question clear: in a latent growth curve, how can I obtain an estimate and its standard error of the outcome at a specific time of during the follow-up?
 Linda K. Muthen posted on Friday, August 28, 2009 - 6:49 pm
You should use Model constraint to define "New" parameters that express the estimated mean of the outcome at a certain time point in a certain group (cohort). The estimated mean is expressed in line with:

ytg = img + smg*xt;

where ytg is "New" parameter defined as the mean of y at time t for group g using the intercept growth factor img, slope growth factor smg, and time score xt. You define this for several groups and can then
test if they are equal using Model Test.
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