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Re: st: Latent class estimation
On Dec 5, 2007, at 4:57 AM, Eva Poen wrote:
I am interested in running a latent class regression model.
...
On Dec 5, 2007, at 7:01 AM, Dimitris Pavlopoulos wrote:
I have not explored the potential of STATA in latent class models,
but I would suggest you to do your analysis in Latent Gold instead.
This is a program especially made for such analysis. And yes, you
need to use the EM algorithm and in particular its modified version
(Baum Weltch algorithm or something like that). This is implemented
in Latent Gold.
On Dec 5, 2007, at 7:21 AM, Christian Deindl wrote:
I think the best book for beginners in LCA is still:
McCutcheon, A. L. (1987). Latent Class Analysis, Beverly Hills:
Sage Publications.
Apart from latent gold you can also use lem (http://www.uvt.nl/
faculteiten/fsw/organisatie/departementen/mto/software2.html) in
the beginning and I'm also pretty sure that GLLAMM will be useful,
if you want to do your analysis with stata.
On Dec 5, 2007, at 7:32 AM, David Airey wrote:
Another program that can be used for just about any latent variable
modeling question whether continuous or categorical, even
multilevel, is Mplus, now at version 5.
I would like to offer an alternative opinion. RE references that are
accessible, Bartholomew's "Latent Variable Models and Factor
Analysis" (1987, Charles Griffin & Co.) offers a good theoretical
introduction, and Skrondal and Rabe-Hesketh's "Generalized Latent
Variable Modeling" (2005, Chapman & Hall) is superb in terms of both
its theoretical and applied presentation. The latter should be read
in any case without question.
The program -gllamm- (type -ssc install gllamm-) is capable of
estimating latent class models in a very flexible manner, and the
manual available with the program (as well as the book cited above)
offer several worked examples. It can be slow for datasets with a
large number of unique covariate patterns, but this has to be
evaluated relative to the time required to learn how to use another
program and to move your data and results back and forth. It's
certainly an excellent place to start and to run some preliminary
analyses; you can always then move to another piece of software if
speed becomes a problem.
-- Phil
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