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RE: st: St: How to handle missing observations in the factor-principal component analysis


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: St: How to handle missing observations in the factor-principal component analysis
Date   Wed, 19 Dec 2007 12:30:50 +0000 (GMT)

--- Simo Hansen <simohansen@gmail.com> wrote:
> Dear Dr.Maarten,

I hope to become a dr. next year, now I am just drs.

> I need to have a second variable to perform ice command. For example,
> I create a dummy variable indicating whether she is using a computer
> at work or not. 

you are doing a factor analysis, so you have multiple variables. Say
that the other variable you are going to use in your factor analysis
are called fax and stapler, than you would type:

ice computer fax stapler

> Your explanation raised another question for me: You said that   
> "This looks problematic, even without missing data."
> Are there alternative ways for the same purpose?

this is an area of active research, see for instance (Joreskog and
Moustaki 2006). I am not aware of any implementation in Stata, though I
imagine that it might be possible to use -gllamm- in this way. But,
don't ask me how to do that. Maybe others on this list know more?

-- Maarten

Karl G. Joreskog and Irini Moustaki (2006), "Factor Analysis of Ordinal
Variables with Full Information Maximum Likelihood" http://www.ssicentral.com/lisrel/techdocs/orfiml.pdf

-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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