You have not yet heard one -svy- expert
agree with my guess! (Like Scott, I
don't use survey data.)
Nick
[email protected]
anju parthan
> Thanks a lot Nick.
>
> I think I am going to use the generate command and
> calculate the zscore.
Nick Cox
>
> > 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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