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Re: st: replication weights for data with strata with single PSU
From
Steven Samuels <[email protected]>
To
[email protected]
Subject
Re: st: replication weights for data with strata with single PSU
Date
Sun, 13 Feb 2011 11:55:18 -0500
Patrick, the FAQ ask that you reference contributed commands. -svr-
is a package written by Nick Winter and can be found by typing "findit
svr".
Graubard and Korn (Analysis of Health Surveys, 1999, Wiley, p. 204)
have a section on your question. The best approach is to collapse
strata "that are most alike with regard to presampled
characteristics". To use all the data, I would split the largest of
the single strata into two pseudo-strata. Collapsing will increase
the apparent variance and splitting will decrease it, so the ultimate
estimate will probably be conservative. If you want to analyze that
split stratum stratum as a domain, then you should join the pieces
again.
Steve
[email protected]
On Feb 12, 2011, at 2:58 PM, McCabe, Patrick J wrote:
Statalist,
I have a question about how to create replication weights using svr.
I'm working with complex sampled nationally representative data. The
data includes non-self representative strata that have two PSUs and
self representative strata with only one PSU. To use svr I need two
PSU for each strata, my question is is it better to collapse self
representative strata with only one PSU together (unfortunately there
is an odd number of these)
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