Re: How to replace missing data points with Multiple Imputation Data Sets

Posted by Bruce Weaver on May 15, 2013; 12:42am
URL: http://spssx-discussion.165.s1.nabble.com/How-to-replace-missing-data-points-with-Multiple-Imputation-Data-Sets-tp5720243p5720248.html

There is no replacement of missing data points in the original data set.  MI works exactly the way you've described:  I.e., the analysis (whatever it is) is done on each of the imputed data sets, and the results are pooled (using the method described by Rubin).  

mohsin99 wrote

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