Latent class mixture fitting for long... PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
Message/Author
 Peng Liu posted on Friday, June 06, 2014 - 6:02 pm
Hi,

I'm trying to identify latent classes in longitudinal data. The outcome variable is continuous. I'm wondering if I don't specify growth parameters (e.g. linear or quadratic) in the model statement, or just run the following code without giving a model statement, how should I interpret the mplus output. Is mplus fitting a mixture of multivariate normal with 'unstructured' covariance in this case?

Thanks!

DATA:
FILE IS "C:\....\mydata.dat";
FORMAT IS FREE;
VARIABLE:
NAMES ARE ID T1-T5;
MISSING ARE .;
USEVAR are T1-T5;
CLASSES = c (3);
ANALYSIS:
TYPE = MIXTURE;
STARTS = 100 10;
STITERATIONS = 10;
OUTPUT: TECH11;
 Linda K. Muthen posted on Friday, June 06, 2014 - 11:18 pm
It would be a latent profile analysis like Example 7.9.
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