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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 specied reference category.
Covariates. For each selected covariate, displays the ratio of the cumulative odds at the covariate’s
mean value plus thespecied units of change to the odds at the mean.
When computing odds ratios for a factor or covariate, the procedure xes all other factors at their
highest levels and all other covariatesat their means. If a factor or covariateinteracts with other
predictors in the model, then the odds ratiosdepend not only on the change in the specied
variable but also on the valuesof the variables with which it interacts. If a specied 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 variablesin the active dataset.
Exportmodel as SPSS Statistics data. Writesa dataset in IBM® SPSS® Statistics format containing
the parameter correlation or covariance matrix with parameter estimates, standard errors,
signicancevalues, and degrees of freedom. Theord er of variables in the matrix le is as follows.