3 May
2011
3 May
'11
8:38 p.m.
Hi All:
I have a basic question about multiple imputation. I have a survey
dataset (16000 cases) with 950 cases having zero weight. Do I need to
keep those cases in my dataset or drop them before MI? Thanks!
Li Chang
2012 M.A. Candidate
Economics and Education
Teachers College, Columbia University
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3 May
3 May
9:05 p.m.
the weights, however, are not important for imputation. the question is
whether the extra observations contain information that might help you
predict the missing values in the data without zero weights. if it does,
the you might keep it. they won't have a direct effect on your analysis
model but might in this way have an effect on improving the imputations.
Gary
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On Tue, May 3, 2011 at 8:38 PM, Li CHANG <changliemail(a)gmail.com> wrote:
Hi All:
I have a basic question about multiple imputation. I have a survey dataset
(16000 cases) with 950 cases having zero weight. Do I need to keep those
cases in my dataset or drop them before MI? Thanks!
Li Chang
2012 M.A. Candidate
Economics and Education
Teachers College, Columbia University
-
Zelig Mailing List, served by Harvard-MIT Data Center
Send messages: zelig(a)lists.gking.harvard.edu
[un]subscribe Options: http://lists.gking.harvard.edu/?info=zelig
Zelig program information: http://gking.harvard.edu/zelig/
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Li CHANG