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RE: st: RE: Standarized Zscore


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   RE: st: RE: Standarized Zscore
Date   Fri, 28 Jan 2005 19:14:43 -0000

No, I wasn't referring or alluding to 
this FAQ, but it clearly points you 
in the right direction. 

Suppose for example you 

. use http://www.stata-press.com/data/r8/nmihs.dta

. svymean age

Survey mean estimation

pweight:  finwgt                                  Number of obs    =      9953
Strata:   stratan                                 Number of strata =         6
PSU:      <observations>                          Number of PSUs   =      9953
                                                  Population size  =   3898922

------------------------------------------------------------------------------
    Mean |   Estimate    Std. Err.   [95% Conf. Interval]        Deff
---------+--------------------------------------------------------------------
     age |   26.28999    .0775855     26.1379    26.44207    1.920533
------------------------------------------------------------------------------

It would seem that you can then knit your own standardized score by 

. gen stdage = (age - _b[age]) / ( _se[age]*sqrt($S_E_nobs/S_E_deff[1,1])) 

However, on -svy-, never believe an answer unless experts on -svy- agree. 

Nick 
[email protected] 

anju parthan
 
> Thanks. I am not sure I understood your comment.
> 
> Are you referring to the explanation given by William
> Sribney in the following link
> 
> http://www.stata.com/support/faqs/stat/supweight.html 
 
> --- Nick Cox <[email protected]> wrote:
> 
> > Neither -zscore- nor -center- supports
> > pweights. 
> > 
> > This seems to be the first mention in this 
> > thread of survey data. Is the concept of 
> > standard deviation well defined for survey 
> > data? If not, the whole idea of a standardized
> > variable would appear not defined in turn. 
> > 

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