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 Roscoe posted on Tuesday, November 02, 2004 - 2:06 pm
I have a dataset with approximately 1900 observations made up of patients (probands) and family members (brother, sister, mother, father). There are approximately 600 families, each with 2-4 members. I want to perform a latent profile analysis with 5 continuous measures. How do I model the clustering between families?
 Linda K. Muthen posted on Tuesday, November 02, 2004 - 2:46 pm
Clustering for LPA can be handled in two ways in Mplus - TYPE=COMPLEX MITXURE; or TYPE = TWOLEVEL MIXTURE; These two approaches are described in the introduction to Chapter 9 in the Mplus User's Guide. This introduction is also available at the Mplus website.
 Anonymous posted on Wednesday, April 20, 2005 - 3:29 pm
I would like to run a model similar to 7.12 LCA with covariates. Except I want it to be a profile model with a categorical covariate. I have tried to run the model with the covariate X denoted as categorical and %overall%
C#1 on x; but it doesn't run. It will run if I do not denote X as categorical.
THis is the error message:
*** ERROR
The following MODEL statements are ignored:
* Statements in the OVERALL class:
C#1 ON X
*** ERROR
One or more MODEL statements were ignored. These statements may be
incorrect or are only supported by ALGORITHM=INTEGRATION.
 Linda K. Muthen posted on Wednesday, April 20, 2005 - 4:35 pm
Only dependent variables should be included on the CATEGORICAL list. So it is not necessary to put x on the CATEGORICAL list.
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