Dear Stata users,
I am running a Latent profile analysis using a mixture of continuous and dummy variables. Looking at the SEM examples (50 and 52) it seems that for latent class analysis (only categorical variables), the coefficients are interpreted as coefficient of the multinomial logistic regression (so not very informative). For latent prifile analysis, the coefficients are interpreted as the estimated mean value for a given latent class.
It is not clear to me why, using both type of variables, the estimated coefficients for the dummy variables can't be interpreted in terms of proportion of a given class. Can anyone provide some references for this case of a mixture of continuous and dummy variables? What is the underlying equations in this case: a mixture of regression and logistic?
Thank you for your attention
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