Deae Maarten,
Then, the problem is that fax and stapler also have missing observations.
Therefore, I could not imply "ice", could I?
Many thanks,
Simo
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Maarten buis
Sent: 19 Aralık 2007 Çarşamba 14:31
To: [email protected]
Subject: RE: st: St: How to handle missing observations in the
factor-principal component analysis
--- Simo Hansen <[email protected]> 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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