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

[Duru <duru80@gmail.com>]

Sure. These articles use standardised bias approach to evaluate
nonresponse bias adjustments.

Vehovar (2007) "Non-response Bias in the European Social Survey" in
Measuring Meaningful Data in Social Research (eds. G. Loosveldt, M.
Swyngedouw and B. Cambre)

Kreuter, Frauke (2010) " Using proxy measures and other correlates of
survey outcomes to adjust for non-response: examples from multiple
surveys" @Digital Commons, Univ. of Nebraska.
http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1139&context=sociologyfacpub&sei-redir=1#search="Using+Proxy+measures+and+other+correlates+of+survey+outcomes+to+Adjust";

Duru

On Thu, Jun 16, 2011 at 12:33 PM, Steven Samuels <sjsamuels@gmail.com> wrote:
>
> To quote the FAQ: "Precise literature references please!"
>
> Steve
> On Jun 15, 2011, at 12:32 PM, Duru wrote:
>
> Thank you all for your help. Further research revealed, as Steve put
> it, standard significance tests (t-test, chi2) does not apply to the
> evaluation of nonresponse weights since they are based on the same
> sample, so it is good that Stata does not have this procedure! My
> confusion was that some published work used this method previously.
> In this case, I will rather calculate standardised bias for this
> purpose (for those who are interested see Vehovar 2007; Kreuter et al,
> 2010).
>
> Best,
>
> Duru
>
>
> On Thu, Jun 9, 2011 at 6:58 PM, Carlo Lazzaro <carlo.lazzaro@tin.it> wrote:
>> Dear Duru,
>> I have just downloaded Pfeffermann's paper mentioned by Stas at:
>>
>> http://www.stat.iastate.edu/seminars/abstracts/seminars2006-2007/VIGRE_Surve
>> y_16Apr07.pdf
>>
>> Kindest Regards and thanks to Stas for quoting,
>> Carlo
>> -----Messaggio originale-----
>> Da: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Stas Kolenikov
>> Inviato: giovedě 9 giugno 2011 16.57
>> A: statalist@hsphsun2.harvard.edu
>> Oggetto: Re: st: Comparing weighted and unweighted distributions via Chi2
>> test
>>
>> If you kind find this paper, it will be quite useful:
>> http://www.citeulike.org/user/ctacmo/article/1036965. Pfeffermann is
>> one of few statisticians who is aware of Hausman (1978) test that just
>> celebrated a third of a century... think about the time for good ideas
>> to diffuse from one discipline to another. This is the test that's
>> directly applicable to your case, but Stata is reluctant to run it
>> with weighted data, so you'd have to find ways to force it to perform
>> it.
>>
>> On Wed, Jun 8, 2011 at 4:05 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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>>
>>
>>
>> --
>> Stas Kolenikov, also found at http://stas.kolenikov.name
>> Small print: I use this email account for mailing lists only.
>>
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