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Re: st: QUERY: svyset for a single stage survey with strata and clusters
From |
Steven Joel Hirsch Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st: QUERY: svyset for a single stage survey with strata and clusters |
Date |
Tue, 21 Aug 2007 18:26:26 -0400 |
David, your specification is incorrect, but your question cannot be
answered without one piece of information: was sampling with or
without replacement? I'll assume that it was without replacement,
the most likely method. In that case, do the following:
1. Create a variable nschools, which is the number of schools in each
stratum--the population number not the sample number.
Code Follows:
/
************************************************************************
**********/
gen finalwt=1/include
gen fpc2=1
svyset [pweight=final_wt] school, strata(schtype) fpc(nschools) ||
_n, fpc(fpc2)
/
************************************************************************
**********/
If your purpose is to do statistical tests or other analytic
comparisons, do NOT include the "fpc" (finite population correction)
terms (WE Deming, Some Theory of Sampling, Wiley, 1950 (Dover,
1984)). The fpc terms are appropriate only for descriptive studies.
-Steven
On Aug 21, 2007, at 11:40 AM, [email protected] wrote:
Dear Statalist,
I have a survey design which runs as follows:
12 types of schools in London were identified. The type of school is
in a variable called 'schtype'. We sampled at random a certain
number of schools of each type. The school identifier is called
'schl'.
The selection school probability is held in a variable called
'include'.
In each school all children were sampled regardless of the number of
children.
Hence I take it the strata variable is 'schtype', the cluster
variable is
'schl' and the fpc is 'include'.
Am I correct to write the svyset command as:
svyset schl, strata(schtype) fpc(include) vce(linearized)
Thank you for any help you can offer.
David Boniface.
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Steven Joel Hirsch Samuels
[email protected]
18 Cantine's Island
Saugerties, NY 12477
Phone: 845-246-0774
EFax: 208-498-7441
*
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