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Re: st: suggested references about the variables to include in zero-inflated portion of zinb?
From |
Steven Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st: suggested references about the variables to include in zero-inflated portion of zinb? |
Date |
Fri, 24 Oct 2008 08:45:10 -0400 |
What justification did you have for the variables in the non-inflated
part? Obviously you had some theory or previous empirical work to
guide you. The same justification would apply to variables in the
inflated-part. Previous work may have only stated that "Z is
associated with psychological stress." The beauty of ZINB is that it
elaborates somewhat the mechanism of the association.
If you chose predictors (inflated AND non-inflated) from a much
larger set, based on their statistical significance, that part of
your analysis is exploratory. If you do not validate your predictors
on a new set of data, after-the-fact justifications will always be
suspect.
-Steve
I am using zinb to estimate level of psychological distress (scores
range from 0-24) using various demographic variables and measures
of use of the Internet. I've used -countfit- to compare various
count models and the results support zinb as the best fitting model.
I am uncertain, however, about how to justify the variables that I
include in the zero-inflated part of the model. I've read journal
articles that have used zinb, read the book by Freese and Long, and
searched the Internet and Statalist but I have not been able to
find any detailed recommendations or procedures. Can anyone suggest
any other sources (books or journals) that provide an explanation
or a good example of this process?
Ideally I would like to find a good source that I can cite in the
paper -- but I appreciate any suggestions about this you might have.
Thanks for you help,
Tim
-----------------------------------------------------
Timothy M. Hale, MA
Graduate Assistant
University of Alabama at Birmingham
Department of Sociology
email: [email protected]
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