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Re: st: svy: countries as psu


From   Steven Samuels <sjhsamuels@earthlink.net>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: svy: countries as psu
Date   Thu, 23 Oct 2008 15:19:20 -0400

I am not knowledgeable about the World Value Surveys. Still, I have some comments.

I like Stas's suggestions. It might be difficult to -svyset- the data to represent the sampling design below the country levels, but I presume, that the WVS "integrated" data sets include unified design variables.

I looked at two publications from WVS: one analyzed individuals respondent data, with multi-level-models. The other (http:// www.worldvaluessurvey.org/Upload/_Liberalism%20and%20%E2%80% A6materialism.doc) seems to have used countries as the analysis unit, with country-averages for each variable.

You haven't told us much about your purpose and your "target population," if any. Your decisions should be based on your purpose. If you are interested in analyzing, say, differences between people in Easter and Western Europe, you should weight to population. If you are interested in differences between countries, possibly you should not weight to population.

If you use the supplied weights, then you are effectively weighting to population. This will down-weight small countries. if you don't use the supplied weights, you risk bias because of some important groups within each country are under-represented. See: https:// library.usask.ca/files/data/newsletter/datacrunchv13.pdf. Still other weighting schemes have been applied to WVS analyses, e.g.: http:// www.worldvaluessurvey.org/Upload/_Liberalism%20and%20%E2%80% A6materialism.doc

 -Steve

On Oct 23, 2008, at 12:01 PM, Stas Kolenikov wrote:

As far as I understand, you did not sample the countries. Rather
whichever participating countries were (a convenience sample, or if
you are lucky to have this survey in all those countries, a census of
the country population), the samples were taken independently in those
countries. So the countries act as (super) strata, and whatever PSUs
were taken in those countries would be the PSUs to go into the design
statement. What you are thinking of (the big differences between West
and East) would be subpopulations, and you can analyze those
separately using -subpop()- option of -svy- commands.

On 10/23/08, b.todosijevic@utwente.nl <b.todosijevic@utwente.nl> wrote:
Dear Stata users:

 I need to analyze a comparative data set (World Values Survey),
 consisting of a number of country samples, using svy: commands.
I want to obtain various estimated for countries grouped as Eastern or
 Western Europe.

 I wonder if it would be appropriate to specify countries as psu's
 (clusters), and regions as strata (East-West) in svyset command.
 E.g., svyset countries [pw=weight], strata(west).

 Thanks,
 Bojan Todosijevic



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Stas Kolenikov, also found at http://stas.kolenikov.name
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