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Complex Samples Ordinal Regression
Factors. For each selected factor, displays the ratio of the cumulative odds at each category of the
factor to the odds at the specified reference category.
Covariates. For each selected covariate, displays the ratio of the cumulative odds at the covariate’s
mean value plus the specified units of change to the odds at the mean.
When computing odds ratios for a factor or covariate, the procedure fixes all other factors at their
highest levels and all other covariates at their means. If a factor or covariate interacts with other
predictors in the model, then the odds ratios depend not only on the change in the specified
variable but also on the values of the variables with which it interacts. If a specified covariate
interacts with itself in the model (for example, age*age), then the odds ratios depend on both the
change in the covariate and the value of the covariate.
Complex Samples Ordinal Regression Save
Figure 11-7
Ordinal Regression Save dialog box
Save Variables. This group allows you to save the model-predicted category, probability of
predicted category, probability
of observed category, cumulative probabilities, and predicted
probabilities as new variables in the active dataset.
Export model as SPSS Statistics data. Writes a dataset in IBM® SPSS® Statistics format containing
the parameter correlation or covariance matrix with parameter estimates, standard errors,
significance values, and degrees of freedom. The order of variables in the matrix file is as follows.