Re: How to replace missing data points with Multiple Imputation Data Sets
Posted by
Jon K Peck on
May 15, 2013; 1:13am
URL: http://spssx-discussion.165.s1.nabble.com/How-to-replace-missing-data-points-with-Multiple-Imputation-Data-Sets-tp5720243p5720249.html
As Bruce said, the nature of multiple imputation
is that there is no single replacement for a missing data point. That
is why the dataset is replicated several times (20 is really a lot!). If
you want a single imputed value, you can use the MVA procedure, but that
collapses the distribution of missing values to a single point, so you
lose the uncertainty that the multiple imputation process retains.
Jon Peck (no "h") aka Kim
Senior Software Engineer, IBM
[hidden email]
phone: 720-342-5621
From:
mohsin99 <[hidden email]>
To:
[hidden email],
Date:
05/14/2013 05:52 PM
Subject:
[SPSSX-L] How
to replace missing data points with Multiple
Imputation Data
Sets
Sent by:
"SPSSX(r)
Discussion" <[hidden email]>
Hello all,
I have successfully imputed 20 data sets using SPSS 20 Multiple Imputation;
and have got pooled estimates of mean, SD, SE, variance etc. However, I
am
still unable identify that how to replace empty/missing data points in
original data set? Do I need to take average of each imputed data point
(which originally was missing in original data set) from all imputed data
sets to replace it in original data set ?
I will thankful if anyone can help me out.
Regards
Mohsin
--
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