LCA allowing local dependence, readin... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 Lian Beijers posted on Tuesday, April 12, 2016 - 6:55 am
Dear reader,

I know many questions have been asked about this topic, and I have looked at the user manual.

First: my data. I have dichotomous data (yes/no) for a number of health related questions.

However, I still have trouble interpreting my tech10 output. I have read that a z-score of over 1.96 is significant (that makes sense), but I do not know which score to look at.

For every variable combination, there are 6 z-scores, 4 for all possible answer combinations (yes-no, yes-yes, no-no, no-yes), the bivariate person and the bivariate log-likelihood. Which one should I evaluate?

Also, I feel it should be relatively simple to allow for local dependence (say within a class that [smoking before age 13] is allowed to correlate with [smoking for 30 days in a row] in a class.

I have added "algorithm = integration;" to the ANALYSIS statement, and the model part:
[sm13] by [sm30days];

It tells me "Covariances for categorical ... are not defined". I do not understand why I get this message.

Could you help me out?
 Lian Beijers posted on Tuesday, April 12, 2016 - 7:03 am
Ah, I meant
[sm13] WITH [sm30days]
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