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RE: st: k-sample tests for differences in proportions


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: k-sample tests for differences in proportions
Date   Wed, 5 Nov 2003 13:14:06 -0000

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

Karen Robson

> Thanks for your replies. 
> 
> What I am trying to calculate is if the mean of a dummy 
> variable is different across the categories of a separate 
> categorical variable. So if the mean of a dummy variable 
> (e.g. let's say 1=has university degree, 0=does not have 
> university degree) is significantly different across a 
> nominal variable like religious affiliation which has five 
> possible values. If I had just two categories in the 
> religious affiliation variable, I could just prtest 
> university, by(religion). Since I have multiple categories, 
> however, this becomes impossible. 
> 
> If my DV was continuous, I could do an anova and with 
> post-hoc estimations figure out where the significant 
> differences between categories were. However, because my DV 
> is not continuous, I have been told an anova here is not 
> appropriate, hence my confusion. Perhaps I am just being 
> pedantic?
> 
> I would really appreciate your opinion now that I have 
> fully explained myself!

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