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Re: st: re: Mplus 7 and Stata 12

From   Laura Gibbons <>
To   "" <>
Subject   Re: st: re: Mplus 7 and Stata 12
Date   Wed, 2 Jan 2013 14:12:33 -0800 (PST)

You could try using the lavaan package in R. It's a few steps behind Mplus, but it does take categorical variables.

On Mon, 31 Dec 2012, Airey, David C wrote:


Alan wrote:

Can you be more specific? The stata2mplus command saves a data set for Mplus and writes a simple Mplus program to verify that it worked. Stata's own sem command can do a lot with quantitative endogenous variables in Stata 12.1.

Phil wrote:

We, the UCLA Statistical Consulting Group, use Mplus when we have CFA
or SEM models with binary, ordinal or multinomial outcomes.  We also
use it to get the Satorra-Bentler scaled chi-square.  And also for
latent class models.  We use Stata for all of our Mplus data
management and send it to Mplus using -stata2mplus-.  Mplus 7 runs on
my Macbook Pro just fine.

I am interested in what is not common between the two software choices for
analysis of longitudinal and hierarchical data, mostly.

I was just skimming the growth curve chapter in Rabe-Hesketh and Skrondal's text and
noted how you can model continuous outcome longitudinal data using either -sem- or
-xtmixed-, and was curious if this is also true for categorical outcomes.
So Mplus allows categorical outcomes, but so does Stata (xtmelogit, xtmepoisson), just
not in the context of SEM or -sem-.

I was considering purchasing an Mplus license which is used in a longitudinal
data analysis course I'm going to take soon. However, even if you go back to school
and are a full time student, Mplus must be purchased at expensive non-student prices if you gained
an advanced degree in a non-quantitative field. They have this strange stipulation
in their license. So I'm just balancing that purchase with a potential new
version of Stata coming out next summer with SEM additions, etc.

Mplus 7 looks very good.



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Laura E. Gibbons, PhD
General Internal Medicine, University of Washington
Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104
phone: 206-744-1842, fax: 206-744-9917,
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