Error in Multiple Imputation PASW 17?
Hi
Joost,
I can't find
any evidence of there being a known problem like this. I'll be happy to
investigate things.
David Nichols
I have tried the Multiple imputation procedure in
PASW 17 for analyzing a data set with missing values. The procedure is quite
user-friendly. However, when using the procedure I discovered some strange
things about the pooled results in the output. The pooled significance tests
from a regression model sometimes have p-values that are exactly equal to 1. I
find it hard to believe that these results are correct since the p-values of the
5 imputed datasets vary around 0.20. I can imagine that SE's increase due to the
extra uncertainty because of the missing data, but I can't imagine that this
p-value increases exactly to one. Thus far, I have only seen this occur within
the procedure Mixed models so I don't know if it occurs in other procedures as
well. For people who want to see what I mean, I can send the data and the syntax
file that generated these results, on request.
Best regards,
Joost van Ginkel
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