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st: Factor Analysis with Sampling weights


From   Afif Naeem <afeef745@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Factor Analysis with Sampling weights
Date   Wed, 5 Sep 2012 19:45:55 -0400

Hello everyone,
 
I am trying to use exploratory Factor Analysis on 15 variables in the data set. The data set is not a good representative of the general population if used without the Sampling Weights. Hence I have used Sampling Weights in the rest of the empirical analysis. I have two questions in this regard, which are:

1 - Should I use Sampling Weights to construct Factor Scales in exploratory common Factor Analysis. Would the Sampling Weights be counted twice if I use them to construct Factor Scales, and then use the Sampling Weights in regression analysis with these very Factor Scales present in the model?

2 - Is there an easy way to account for Sampling Weights in the exploratory common Factor Analysis. I have been looking for a way to use Factor Analysis while using Sampling Weights, and the one method that works is inputting the Sampling Weight adjusted correlation matrix (which I obtained by regressing each one of the 15 variables on the rest of the variables, one at a time, and taking the square root of the R-squared of the model, which also is Sample Weight adjusted correlation between the two variables).
This method takes a very long time. I was wondering if there is more time efficient method to do the exploratory common Factor Analysis using Sampling Weights?
 
Thanks,
Afif
 		 	   		   		 	   		  
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