Gene Maguin wrote:
> Negative or otherwise out of range values, e.g., an imputed value of 6.34
> 3.33 for a 1 to 5 likert type variable are certainly possible because of
> underlying generating process. The question is what to with them. John
> Graham who wrote an early piece of software was one of the early
> practicioners of MI. I believe John has written about this issue. Another
> person to check out is Joe Schafer who wrote a key book on MI and
> more software. (Let me add that in naming these two, i intend no slight to
> Donald Rubin).
> Gene Maguin
Although I've not read the book Gene mentions, I will second his
recommendation of Schafer & Graham generally. Here is list of articles I
found helpful when I first started reading about missing data, including
some by Schafer & Graham.
Acock, A. C. (2005). Working with missing values. Journal of Marriage and
Family, 67, 1012-1028.
Donders, A. Rogier T., van der Heijden, Geert J.M.G., Stijnen, T., & Moons,
K. G. M. (2006). Review: A gentle introduction to imputation of missing
values. Journal of Clinical Epidemiology, 59, 1087-1091.
Multiple Imputation Online. http://www.multiple-imputation.com/
Schafer, J. L. (1999). Multiple imputation: A primer. Statistical Methods
in Medical Research, 8, 3-15.
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state
of the art. Psychological Methods, 7(2), 147-177.
"When all else fails, RTFM."
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