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# Re: st: R: Re: Factor Analysis and Multiple Imputation

 From Mihir To statalist@hsphsun2.harvard.edu Subject Re: st: R: Re: Factor Analysis and Multiple Imputation Date Mon, 10 Oct 2011 18:30:27 +0800

Thank Carlo.

Any rational for doing so? Does 5 times bigger sample size will affect the
factor score/bartlett score?

Regards,
Mihir

On Mon, Oct 10, 2011 at 5:22 PM, Mihir <mihir.statistics@gmail.com> wrote:
>
> Thank Carlo.
>
> Any rational for doing so? Does 5 times bigger sample size will affect the factor score/bartlett score?
>
> Regards,
> Mihir
>
> On Mon, Oct 10, 2011 at 5:02 PM, Carlo Lazzaro <carlo.lazzaro@tin.it> wrote:
>>
>> 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).
>>
>>
>> Mihir
>>
>> --
>> View this message in context:
>> http://statalist.1588530.n2.nabble.com/Factor-Analysis-and-Multiple-Imputati
>> on-tp5327397p6873879.html
>> Sent from the Statalist mailing list archive at Nabble.com.
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