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st: RE: Comparison of Dependent Proportions


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Comparison of Dependent Proportions
Date   Fri, 2 Aug 2002 14:41:57 +0100

Stephen Soldz
> 
> I'm trying to compare proportions in the same sample (e.g, rates of
> agreement for 2 the same attitude statement for 2 different 
> drugs).  As I
> have a student survey, I need to use the robust variance 
> estimator to adjust
> for the within-classroom design effect.  What I want is an 
> analog of the
> paired t-test for binary data, with robust variance 
> estimator.  I thought I
> could use svylc or svytest, but the only way I can do is 
> after svymean,
> resulting in an assumption of normality.  Any ideas?
 

The following references may help: 

Scott, A.J. and Seber, G.A.F. 1983. Difference of proportions 
from the same survey. American Statistician 37: 319-320. 

Wild, C.J. and Seber, G.A.F. 1993. Comparing two proportions
from the same survey. American Statistician 47: 178-181 
(correction 48: 269). 

Wild, C.J. and Seber, G.A.F. 2000. Chance encounters: 
a first course in data analysis and inference. New York:
John Wiley. Ch. 8.5.2. 

Nick 
n.j.cox@durham.ac.uk 
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