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Re: st: Comparing weighted and unweighted distributions via Chi2 test


From   Fatih Unlu <fatih.unlu.misc@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Comparing weighted and unweighted distributions via Chi2 test
Date   Wed, 8 Jun 2011 19:10:13 -0400

I think you might be able to "trick" Stata to take your nonresponse
weights as if they were created as a result of propensity matching and
use "pstest" to do the test you have in mind. I would recommend,
however, considering a more qualitative way of assessing whether using
nonresponse weights yields substantially different results than not
using them as the results of these statistical tests would highly
depend on your sample size (e.g.., in a small sample, you may fail to
detect substantial differences). For this purpose, you can use
"standardized differences" or "effect sizes" (see
http://ies.ed.gov/ncee/wwc/references/idocviewer/Doc.aspx?docId=19&tocId=8
for more information).

Hope this helps,

Fatih.

On Wed, Jun 8, 2011 at 5:05 PM, Duru <duru80@gmail.com> wrote:
> Dear all,
>
> In order to test if my nonresponse weights change my survey outcomes
> substantially, I want to conduct Chi2 tests or t-tests between
> weighted and unweighted distributions/means for a number of variables.
> Since, I dont know a practical way to do this on Stata, I have to
> insert weighted and unweighted frequency tables or calculate t-values
> manually from weighted and unweighted mean and variance estimates. Any
> ideas on how to do it more easily? (using Stata 10.1)
>
> Best,
>
> Duru
>
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