User Guide

80
Chapter 8
standard errors, confidence intervals, and Cox and Snell’s, Nagelkerke’s, and
McFadden’s statistics.
Data. The dependent variable is assumed to be ordinal and can be numeric or string.
The ordering is determined by sorting the values of the dependent variable in
ascending order. The lowest value defines the first category. Factor variables are
assumed to be categorical. Covariate variables must be numeric. Note that using more
than one continuous covariate can easily result in the creation of a very large cell
probabilities table.
Assumptions. Only one response variable is allowed, and it must be specified. Also, for
each distinct pattern of values across the independent variables, the responses are
assumed to be independent multinomial variables.
Related procedures. Nominal logistic regression uses similar models for nominal
dependent variables.
To Obtain an Ordinal Regression
 From the menus choose:
Analyze
Regression
Ordinal...
Figure 8-1
Ordinal Regression dialog box
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