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Is there a way to use both binary and continuous variables in latent class/profile analysis? (Class being binaries, and profile being continuous, not sure what to call this.)

My lone continuous variable is really important, and making it dichotomous does not make sense theoretically.

(P.S. I'm using Stata 15's new gsem commands.)

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    $\begingroup$ "Mixed mode latent class analysis" is one term I've heard, FYI. $\endgroup$ – Weiwen Ng Mar 26 '19 at 16:17
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Yes - below is an image taken from a LCA presentation by Chuck Huber from Stata. Note inclusion of a covariate.

enter image description here

You may be able to access the entire presentation from this link:

https://www.stata.com/training/webinar_series/latent-class-analysis/

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