Norbert does not say if he is using Stata 8 or 9, though I suspect 8, since
-svymean- under 8 has been superseded by -svy: mean- under 9.
No matter. Both -test- and -lincom- will work after either release.
So, for example under release 9:
svy: mean var1, over(var2)
test [var1]High = [var1]Low
or, especially if you like confidence intervals:
lincom [var1]High - [var1]Low
...assuming High and Low are valid value labels for the grouping variable var2.
I don't have my release 8 manuals with me, but from memory:
svymean var1, by(var2)
test [var1]High = [var1]Low
For variety, and the brevity of a single command, you could (release 9):
svy: regress var1 var2
or (release 8)
svyregress var1 var2
asuming var2 was coded as a 0/1 variable.
Phil
Quoting Clive Nicholas <[email protected]>:
> Norbert Michel wrote:
>
> > When using the survey command svymean, what, exactly, is the
> > interpretation of the design effect "deff" in the output?
>
> Check out
>
> http://www.ats.ucla.edu/stat/stata/seminars/svy_stata_intro/default.htm
>
> for more on this and other fruit fancies about doing -svy:- analysis in
> Stata. You have to scroll down a bit to learn about -deff-, but you've got
> _lots_ of useful material to go with it, and two neat movies to watch as
> well!
>
> > Also, if I want to run a difference in means test (using survey data),
> > do I have to do this manually?
>
> Looking at the options covered by -whelp survey-, that looks tough to do
> if you're looking to get output test statistics. The closest I can get you
> there is
>
> . svy: mean x, over(y)
>
> assuming that -x- is continuous and -y- is categorical. But it doesn't
> give t-test-style statistics along with this. Maybe this is correct or
> maybe it's an oversight: hard to say.
>
> Perhaps other listees can help you out on this point.
>
> Hope this helps.
>
> CLIVE NICHOLAS |t: 0(044)7903 397793
> Politics |e: [email protected]
> Newcastle University |http://www.ncl.ac.uk/geps
>
> Whereever you go and whatever you do, just remember this. No matter how
> many like you, admire you, love you or adore you, the number of people
> turning up to your funeral will be largely determined by local weather
> conditions.
>
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>
--
Philip Ryan
Associate Professor
Discipline of Public Health
Director, Data Management and Analysis Centre
Associate Dean (IT)
Faculty of Health Sciences
University of Adelaide
5005 South Australia
AUSTRALIA
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