Re: st: "svyset" for multistage sampling

[Steven Samuels <sjhsamuels@earthlink.net>]

Hisako,

My short answer is that your second approach is OK.  If you are doing  
descriptive analyses, you may add the -fpc()- option.  However if  
your goal is to assess association or to  test hypotheses, you should  
omit it.  Including the later stages of the sampling design will  
ordinarily make little difference in the results.  The degrees of  
freedom for estimates will approximately be: d.f. =  No. Strata - No.  
PSU's in either case.


-Steve
On Mar 7, 2009, at 2:44 AM, Hisako Kobayashi wrote:

> Dear Statalist,
>
> I have survey data collected through multistage cluster sampling with
> stratification.  I have a question about command of ?svyset.?
>
> For my data, first, the population was stratified and several clusters
> were randomly selected for each stratum.  After that, different
> sampling methods were used for selected clusters.  For some clusters,
> sub-clusters were selected and then for each sub-cluster, individuals
> were randomly selected. But for some cluster, individuals were
> selected without selecting sub-clusters.  Moreover, some sub-clusters
> were stratified and individuals were selected. In short, strata have
> different stages and some have within-stratification (like below).
>
> -Stratification ? clusters ? sub-clusters ? sampling
> -Stratification ? clusters ? sampling
> -Stratification ? clusters ? sub-clusters ? stratification ? sampling
>
> In this case, I think that the command for multistage design like
> below cannot be used for my data.
>         svyset su1 [pw=pwt], fpc(fpc1)                        ///
>                || su2, strata(strata2) fpc(fpc2) || _n, fpc(fpc3)
>
> Instead, I guess I should have the command like...
>
>        svyset [pweight=pwt], psu(su1) strata(strata1)...(without fpc)
>
> I would like to know whether this is correct.
> Thank you very much for your advice in advance.
>
> Hisako
>
>
>
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