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Re: st: svy: tabulate or proportions


From   "Sergiy Radyakin" <serjradyakin@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: svy: tabulate or proportions
Date   Tue, 29 Jul 2008 13:20:15 -0400

Hello Yawo.

If you mean "What is the difference between svy: tabulate gender and
svy: proportion gender ?", then I believe there is no difference and
you should get the same values, perhaps reported in a bit different
form. Type -ereturn list- to see the saved results.

Best regards,
  Sergiy Radyakin

On 7/29/08, Stas Kolenikov <skolenik@gmail.com> wrote:
> On 7/25/08, Chao Yawo <Yawo1964@yahoo.com> wrote:
> >  I am using svy commands to analyze a DHS dataset.
> >
> >  As a usual prerequisite, I want to run some descriptive statistics on
> >  my sample.  I can use the regular tabulate or fre command to produce
> >  frequency distributions.
> >
> >  However, I realized that svy has a "tabulate" or "proportions" option
> >  that could produce frequency distributions/estimates per variable.  I
> >  run both and realized slight differences between the two frequencies
> >  outputs.
> >
> >  Which one should I use - I am leaning towards using the one with the
> >  svy: prefix.
> >
> >  I would appreciate any thoughts and pointers.
>
> Well as Steven said, what is it exactly that you want to figure out?
> If you want to see whether you have cells with zero or low counts,
> then either -tab- or -svy : tab- will do. If you want to get any idea
> of the underlying population, you MUST use -svy-.
>
> Let's think through a grocery shopping example. Suppose somebody
> looked at your fridge and counted how many gallons of milk you have
> there, how many eggs, the total weight of vegetables, etc. If they
> want to figure out a diet of a given person, then that's all the data
> they need. If they wanted to figure out what's available in your
> grocery store, or what's a diet of an average person, then there is
> more work to do: they need to figure out how often you buy any
> particular food. May be you are a vegetarian, and skip the meat rows
> in your supermarket -- so your fridge will not provide any information
> about meat consumption, and estimates of protein intake based on your
> fridge only will be biased. The "how frequently" question is what you
> also know as sampling weights, based on inverse probabilities of
> selection.
>
> So if you want something that's specific to your sample, you can have
> a go without -svy- options. Will that be interesting to anybody?
> Probably not. Whichever summaries you want to produce out of your data
> will only be interesting to the extent that they describe the
> population -- and then you need to use the survey design information.
>
> --
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists only.
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