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AW: st: AW: t-test using analytic weights


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   AW: st: AW: t-test using analytic weights
Date   Tue, 10 Nov 2009 16:23:15 +0100

<> 


Is step 1 not the one that your initial complaint was about? Why does it
work now?



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Sripal Kumar
Gesendet: Dienstag, 10. November 2009 16:21
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: AW: t-test using analytic weights

Sorry.  I should have clarified. The reason I am using aweights are
similar to what you said. My observations are not really observations
but more of estimates.

I figured an easier way around.  Pls let me know what you think:

Step 1.  ttest age1 == age2 [aweight = wt], unpaired
Step 2 lincom (age1)-(age2) to get the t-test and probabilities

thanks,
Sripal.

On Tue, Nov 10, 2009 at 10:04 AM, Maarten buis <maartenbuis@yahoo.co.uk>
wrote:
> --- Sripal Kumar wrote:
>> I am trying to use t-test of independent samples but by
>> using analytic weights.  I tried the following:
>>
>> ttest age1 == age2 [aweight = wt], unpaired
>>
>> I get an error message saying "weights not allowed".
>> Is there a way around it?
>
> --- On Tue, 10/11/09, Martin Weiss wrote:
>> The archive is full of advice to try an equivalent
>> -regress- command...
>
> The archive is also full of advise that aweights are almost
> never the appropriate weight type (aweights are for the
> very special situation where your observations aren't
> observations but estimates and the weights are the inverse
> of the standard error squared).
>
> -- Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
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