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st: R: Re: Factor Analysis and Multiple Imputation


From   "Carlo Lazzaro" <carlo.lazzaro@tin.it>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: R: Re: Factor Analysis and Multiple Imputation
Date   Mon, 10 Oct 2011 11:02:04 +0200

Dear Mihir,
I would suggest you to combine the 5 data sets and then calculate the
bartlett score.

Kindest Regards,
Carlo
-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di mihir
Inviato: domenica 9 ottobre 2011 10.00
A: statalist@hsphsun2.harvard.edu
Oggetto: st: Re: Factor Analysis and Multiple Imputation

Thanks guys. This old post is still useful. Right now I am in a similar
problem. I would appreciate if you can guide me.

I have generated multiple data (5 data sets) using multiple imputation using
ICE. Now I want to create a bartlett score using principal component from
available imputed variables to use it as a predictor in several regression
analysis. 

I don't know how to create bartlett score from 5 imputed data sets. Should I
calculate the bartlett score separately from each of the 5 imputed data sets
OR should I just combined 5 data sets and then calculate the bartlett score?

Later, I use mi estimate command to run regression analysis based on 5
imputed data sets (with additional variable - bartlett score).

Thanks in advance.

Mihir 

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