Did anyone of the StatList community ever encounter a method to adjust a
sample to the population (according to some criteria such as the age or
gender distribution) that uses a method that might be called "adjustment
by substitution" (or similar)? The basic idea is to delete some cases
and replacing them randomly with duplicates *of the same sample* (!)
such that the number of cases of the original sample remains unchanged
and that the sample is adjusted to the distribution of certain variables
of the population (I don't mean that you try to substitute a
missing/lacking case by resampling from the population)?
I ask this because I have serious doubts whether this procedure is
reasonable (creating populations weights seems to be much better), but I
would nevertheless like to know whether this procedure is/has been
actually used and/or whether there exists a publication that discusses
this method.
Yours,
Dirk
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Dr. Dirk Enzmann
Institute of Criminal Sciences
Dept. of Criminology
Schlueterstr. 28
D-20146 Hamburg
Germany
phone: +49-(0)40-42838.7498 (office)
+49-(0)40-42838.4591 (Mrs Billon)
fax: +49-(0)40-42838.2344
email: [email protected]
www:
http://www2.jura.uni-hamburg.de/instkrim/kriminologie/Mitarbeiter/Enzmann/Enzmann.html
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