Use of weight for muitlply-imputed data

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Use of weight for muitlply-imputed data

Postby Yuki » Mon Mar 12, 2012 9:49 pm


I need to use the design weight for data with missing values and I am not sure when I need to weight the data.
Which way should I do:

1) weight the data.
2) run multiple imputation (MI)

1) run multiple imputation
2) weight each 5 of multiply-imputed data (5 is the default number of the subsets of MI data you get)

I will use MI data for HLM.

Thank you so much for your insights.

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