Ordinal Regression Data Considerations

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.

Obtaining an Ordinal Regression

This feature requires the Statistics Base option.

1. From the menus choose:

   Analyze > Regression > Ordinal...

2. Select one dependent variable.
3. Click OK.