Hello everyone. I have a statistical/methodological question for you. Any
suggestions or thoughts are welcome.
I am combining (appending) two separate nationally-representative datasets
(drawn from two different populations, two countries). I am interested in
comparing certain outcomes of groups within those populations.
A hypothetical example: A nationally- representative dataset from Germany
and a nationally-representative datatset from Turkey. I want to compare
Turkish residents in Germany to Turks in Turkey along certain (dichotomous
and ordinal) outcomes, controlling for a number of factors. Thus, the
independent variable (migration status) would have categories that are
exclusively drawn from one or the other population. The datasets have
comparable questions for the outcome, so that is not the issue.
But, I have a hunch that merely doing a logistic or ordinal regression
would be wrong.
Any suggestions about which direction to take this? First, about what type
of analysis would be appropriat and second, how to handle each dataset?s
weights (pweight, psu, strata for each of the two datasets)?
Thank you in advance for any suggestions!
Georgiana Bostean
Department of Sociology
University of California, Irvine
[email protected]
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