Date: Wed, 19 Apr 2006 16:48:50 +0800
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: John Forbes <email@example.com>
Organization: Edith Cowan University
Subject: Multinomial Logistic Regression
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I've received some output that I don't quite understand when I run a MLR in
The model-fitting information yields a chi-square of 301.67, with a sig. of
.000 - which I believe indicates that the final model does a better job of
describing the data than one using the intercept only. Nagelkerke's pseudo
R-Square is .704. Finally, the classification table indicates that I'm
correct 96.9%, 46.2%, and 68.6% of the time in terms of classifying
participants into my three groups.
All of the above seems to indicate that the model is going quite well.
However, the Goodness of Fit table indicates a significant Pearson
chi-square (p=.000), while the Deviance value is 1.000. I believe that a
significant result indicates a poor model fit - so I'm receiving conflicting
information from this table. Having .000 'and' 1.000 doesn't seem right to
me, but everything else appears to indicate that the model isn't too shabby.
Is anyone able to explain this conflict, and perhaps suggest how I might be
able to resolve it?
Many thanks .................. John