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Re: st: Question on interpretation of survey data: from the mean to the total
From
Steve Samuels <[email protected]>
To
[email protected]
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
[email protected]
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 <[email protected]> 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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