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pv1math
2007 Jul 17
0
Multiple imputation with plausible values already in the data
...nd of data I want to
impute.
My first thought was splitting the data into five datasets, each holding only
one of the plausible value variables, but all of the "normal" variables. So e.g.
the first data set would include pv1math, pv1read, HISEI, and gender; while the
second would include pv2math, pv2read, HISEI, and gender. I would run mix on the
five data sets independently and end up with five imputed data sets with no
missing values.
But is this a valid approach? There would actually be two imputation runs per
data set: one for the plausible values on the achievement scales (done by th...