There were some videos about imputation procedures on amelia at http://psweb.sbs.ohio-state.edu/methods_videos/index.html. But it seems that the site has been reeearranged and I cannot find them anymore. Fortunately I recorded the entire political methodology series. I have now uploaded the imputation videos to a free storage service. Here is the link:
http://www.sendspace.com/file/zpd323
I believe the link will work for a limited period of time and a restricted number of downloads. If you want and are not able to download from this source. mail me and I will upload again.
What To Do About Missing Data in Political Science
Instructors:
Gary King
James Honaker
Anne Joseph
Kenneth Scheve
The videos are a basic intro to the method used in amelia and were as I recall created 1999 long before the gui version became available.
regards/Shane
--- On Thu, 6/5/08, tdavis7@emory.edu <tdavis7@emory.edu> wrote:
From: tdavis7@emory.edu <tdavis7@emory.edu>
Subject: [amelia] question about bootstrappping EM
To: "amelia@lists.gking.harvard.edu" <amelia@lists.gking.harvard.edu>
Date: Thursday, June 5, 2008, 6:25 PM
Hello -
My understanding of these methods is very basic, but I was hoping
someone could offer some clarification on the specifics of the
imputation procedure used in AMELIA II.
I understand that in single regression imputation variances are often
underestimated because the variable
with missing data is a perfect
linear function of the other variables used to impute it (correct?).
However, I gather that AMELIA corrects for this in three ways: 1)
First, by using an EM algorithm which adds a residual term to the
variance 2) by adding a random component to reflect uncertainty in the
missing data 3) using multiple imputed data sets to reflect this
uncertainty as well.
Is this correct or is this too basic an understanding? I would
appreciate any help that could be offered.
Thank you.
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