From | Richard Goldstein <[email protected]> |
To | [email protected] |
Subject | Re: st: Averages for missing values |
Date | Mon, 12 Sep 2005 09:41:27 -0400 |
These methods are frowned upon? Which method in particular is the object of the frown? I guess I am puzzled, because mean substitution comes in a few flavors. There is substituting the mean and leaving it at that. I assume this is widely understood as problematic. And then there is substituting the mean and adding a dummy variable to the model that indicates whether the mean has been substituted. Is there any problem with this second approach? Thanks a bunch. Sam
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