LCGA - pain classes PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 charlotte Rasmussen posted on Thursday, February 16, 2017 - 7:52 am
I am working on data of monthly pain assesment among workers. I would like to use the 14 measurements to define classes of workers based on their pain level at each assesment. Therefore LCGA seems to be a way to do so. I am workinig in mplus, but a colleague is using latentgold. We get different results when comparing our analysis. We thought that is was due to the fixed within class variability. Therefore I used the following syntax to free the variance:
estimator is mlr;
i s | INT1@0 INT2@1 INT3@2 INT4@3 INT5@4 INT6@5 INT7@6 INT8@7 INT9@8 INT10@9 INT11@10 INT12@11 INT13@12 INT14@13 ;
i s ;
i s;
i s;
i s ;

Is that correct?

However, we still get different results. My colleague gets a class that contains only 0 all the way (since the data is on a working population, many do not experience pain throughout the year that the Measurements were taken), whereas I get a class with very low pain levels. How can that be?
 Linda K. Muthen posted on Thursday, February 16, 2017 - 8:25 am
I would need to see both outputs and your license number at to understand the differences. You have freed the variances of i and s.
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