It shows that, when a normal model is used to impute a dichotomous
variable, it's best not to dichotomize the imputed values.
Best --
Paul
At 03:04 PM 8/2/2005, Gary King wrote:
Experiments seem to indicate that for imputation, you
can use the normal
model underlying Amelia, even though you wouldn't want to use it for the
analysis model. if you choose options appropriately, Amelia will
dichotomize the resulting simulations for convenience of subsequent
analysis. But if that's not necessary for your analysis model, then using
the continuously imputed variable should work fine.
Gary King
---
Gary King Institute for Quantitative Social Science
Harvard University, 34 Kirkland St, Cambridge, MA 02138
http://GKing.Harvard.Edu, King(a)Harvard.Edu
Direct 617-495-2027, Assistant 495-9271, eFax 812-8581
On Tue, 2 Aug 2005, Engstrom, Malitta wrote:
Dear Dr. King,
I'm hoping you can provide some information, or direct me to a resource
for gathering information, regarding the imputation of dichotomous
variables with AMELIA. Specifically, I'm wondering about how
problematic it is to use the "ANOMS" command with the imputation of
dichotomous variables. In statistical consultations, I've been informed
that it should not be a problem to use this command; however, since the
program directs one to use the "AMORDS" command with the imputation of
dichotomous variables, I wanted to gather additional information about
it.
I would be most grateful for any information you can share on this
topic.
Thank you,
Malitta Engstrom
Assistant Professor
University of Chicago
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Paul von Hippel
Department of Sociology / Initiative in Population Research
Ohio State University
300 Bricker Hall
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