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Re: st: RE: Factor analysis with binary data


From   "Data Analytics Corp." <[email protected]>
To   [email protected]
Subject   Re: st: RE: Factor analysis with binary data
Date   Wed, 02 Mar 2011 20:21:00 -0500

Hi,

I'm leaning to using the scores as continuous variables since I'm concerned about the arbitrary dichotomization. I was planning to do latent class clustering in Latent Gold and that will use continuous factors.

By the way, does Stata have any latent class clustering?

Thanks for the help,

Walt

________________________

Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
________________________
(V) 609-936-8999
(F) 609-936-3733
[email protected]
www.dataanalyticscorp.com
_____________________________________________________

On 3/2/2011 8:08 PM, David Radwin wrote:
Walt,

The usual advice on this list is to not dichotomize or categorize
continuous variables at all, much less do so based on an "arbitrary
guess."

See, for example:

http://www.stata.com/statalist/archive/2010-02/msg00871.html

http://www.stata.com/statalist/archive/2010-11/msg00443.html

Is there some way to use the variables as continuous?

David
--
David Radwin
Research Associate
MPR Associates, Inc.
2150 Shattuck Ave., Suite 800
Berkeley, CA 94704
Phone: 510-849-4942
Fax: 510-849-0794

www.mprinc.com


-----Original Message-----
From: [email protected] [mailto:owner-
[email protected]] On Behalf Of Data Analytics Corp.
Sent: Wednesday, March 02, 2011 9:10 AM
To: [email protected]
Subject: st: Factor analysis with binary data

Hi,

I have to do a factor analysis with binary survey data.  I have no
problem doing the factor analysis per se (I'll develop a correlation
matrix using tetrachoric correlations), but I do have a question about
the predicted scores.  They will be continuous, but I need them for
other analysis to be binary.  Any suggestions for how I can take the
scores for a factor and recode them into 0/1 values.  I thought of
looking at the distributions and making an arbitrary guess for a
cut-off: anything above is 1; below is 0. A first guess for a cut-off
would be 0: anything positive is 1; negative is 0.  Does anyone have a
better suggestion?

Thanks,

Walt
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