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Re: st: sample adjustment by substitution instead of weighting
Steve,
They don't use probability weights: They simply randomly delete some
cases of strata that are overrepresented and substitute them by randomly
duplicating cases of strata that are underrpresented (here the term
strata does not refer to the population but subgroups of the sample!).
Afterwards they analyse their modified sample without any weights
(duplicating some cases serves as a substitute to weighting).
I know, this sounds silly, but I simply would like to know whether this
is actually practice in some fields or where this has been advocated or
discussed.
Steve from: [email protected] wrote:
> Ways of randomly selecting a sample so that estimates from it match
> population characteristics are covered in Tille' (2006, Chapter 8).
> The method you describe is not one of them. How do the people who
> advocate it propose to construct the probability weights?
>
> Tillé, Y. (2006). Sampling algorithms (Springer series in
> statistics). New York: Springer.
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