Date:         Mon, 3 May 2004 09:12:50 -0400
Reply-To:     Mark Davenport <madavenp@OFFICE.UNCG.EDU>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Mark Davenport <madavenp@OFFICE.UNCG.EDU>
Subject:      Re: Data Imputation with NORM
Comments: To: jcarmitage@cox.net
Content-Type: text/plain; charset=US-ASCII

I have had very good luck with NORM and SPSS. I think John Graham has written some SPSS macros for combining data augmentation step results. I have lost the links so you may have to do some searching to find them.

Mark

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Mark A. Davenport Ph.D.
Office of Student Affairs Research and Evaluation
The University of North Carolina at Greensboro
149 Mossman Bldg.
Greensboro, NC  27402-6170
336.334.5099
madavenp@office.uncg.edu

'An approximate answer to the right problem is worth a good deal more than an exact
answer to an approximate problem'      -- J. W. Tukey

>>> Jeff and Carol Armitage <jcarmitage@cox.net> 5/2/2004 4:36:34 PM >>>
I am running regression analysis on a database and I have a problem with missing data.  I am planning on imputing my missing values through the use of NORM (since I do not have the optional SPSS missing value analysis module).  Has anyone taken SPSS data and imported it into NORM, conducted multiple imputation, then brought it back into SPSS.  I am looking for some tips on doing this or a guide if it is available.  Thanks in advance.

Jeff

Jeff Armitage
Cardiovascular Disease Epidemiologist
Nebraska Health and Human Services System