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List:       r-help
Subject:    Re: [R] using survey weights for correlations
From:       "John Fox" <jfox () mcmaster ! ca>
Date:       2008-11-30 21:00:50
Message-ID: 001b01c9532e$b9bd6d10$2d384730$ () ca
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Dear Steve,

You can use svyvar() in the svy package to compute a covariance matrix that properly \
reflects the weights (and other details of the sampling design), and from this, using \
cov2cor(), a correlation matrix (if you want that too). You should get consistent \
estimates from sem() in the sem package (assuming that's what you were planning to \
use), but standard errors and statistical tests won't be right. You should be able to \
get valid inferences by bootstrapping, making proper allowance for the weights in \
resampling.

I hope this helps,
 John

------------------------------
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox


> -----Original Message-----
> From: r-help-bounces@r-project.org [mailto:r-help-bounces@r-project.org] On
> Behalf Of Steve Powell
> Sent: November-30-08 2:41 PM
> To: R-Help
> Subject: [R] using survey weights for correlations
> 
> Dear list,
> I have a data file which includes, alongside various variables representing
> questionnaire scores, a variable for survey weights computed as the number of
> observations in the sample drawn from that group divided by the number of
> observations in the population in the group. I need to calculate a covariance
> matrix of the questionnaire scores for use in sem. How do I apply the
> weights?
> Thanks in advance,
> Steve Powell
> 
> www.promente.org
> 
> proMENTE social research
> 
> Krančevićeva 35
> 71000 Sarajevo
> 
> skype stevepowell99
> mob. +387 61 215 997
> tel. +387 33 556 865
> fax. +387 33 556 866
> 
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