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Re: st: Question on interpretation of survey data: from the mean to the total


From   Steve Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Question on interpretation of survey data: from the mean to the total
Date   Sun, 12 Sep 2010 20:13:01 -0400

--

 In advance I would say that you should create a data set in which
each observation is a HH and the weight is an appropriate HH weight.
However to advise you further with some assurance, we  would need to
know how the weights were computed-was there post-stratification or
"raking", for example and details about the design (clusters, stages
is too vague). including the -svyset- statement.  Your current
approach is almost certainly wrong, because the denominator for -svy:
mean- will be individuals, not HH; it will be biased, because larger
HH will contribute more observations.

Steve

Steven J. Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax:    206-202-4783



On Sun, Sep 12, 2010 at 2:50 PM, Laurie Molina <molinalaurie@gmail.com> wrote:
> Dear all,
> I have a question on the interpretation of survey data.
> There is a survey in which the analysis units are the households and
> its members.
> Using the command svyset i have set the design characteristics of the
> survey: clusters, two stages, stratification and probabilistic.
> And i have asked stata for the mean of the number of cars in the households.
> Is it all right if i multiply the mean of the number of cars in the
> households by the expanded number of households to get the total
> number of cars of the households?
> Or does it depend on wheter the survey was designed to get the total
> number of cars of the households?
> Thank you very much in advance.
> Laurie
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