| Re: Weighting and Multiple Imputation [message #15072 is a reply to message #15057] |
Wed, 30 May 2018 07:33   |
Bridgette-DHS
Messages: 3223
Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS Stata Specialist, Tom Pullum:
In Stata, there are 4 kinds of weights--aweight, fweight, pweight, and iweight. You can get a description with "help weight". In statistical models and svyset you would only use pweight. There have been many postings on weights. I don't know the weight options in SPSS, but perhaps another user can help with them.
In DHS data there are usually not enough "missing" (as distinct from "not applicable") cases to worry about. If you just drop those cases, the results will be equivalent to using multiple imputation with the MCAR assumption. In general, of course, you should not make the MCAR assumption; there are tests for that assumption. I would advise against using multiple imputation unless you are doing some pretty advanced multivariate analysis. We hardly ever use it here at DHS and cannot advise you on how to use it.
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