Select menu: Stats | Regression Analysis | Ordinal Regression
Ordinal regression is a model for a response variable which is a category taken from an ordered set of possibilities (for example: absent, slight, moderate, severe). The menu allows for data to be entered in 2 forms: either in a single factor or within multiple variates.
- After you have imported your data, from the menu select
Stats | Regression Analysis | Ordinal Regression.
- Fill in the fields as required then click Run.
This lists data structures appropriate to the current input field. The contents will change as you move from one field to the next. Double-click a name to copy it to the current input field or type the name.
Form of response
Specifies the form of the response data. You can choose between having a single factor containing the observations or multiple variates.
Specifies a factor containing the observations (response).
Specifies a list of variates containing the responses.
This lets you specify the most complicated model that you are likely to want to consider in your analysis. This field may be left blank, but this may lead to subsequent inability to compare models because of data that are missing for some explanatory variates but not for others.
Model to be fitted
The terms to be fitted to the model are specified by entering a model formula. You can investigate other models by using Change model to add or drop terms. If you specified a maximal model, all new terms must have appeared in that model. If you did not specify a maximal model and a term is introduced with a missing value for a unit previously used in the regression, the model sequence is interrupted and information will be available only for the current model (excluding that unit) and the new model.
Lists the available link functions.
This provides a quick way of entering operators in the Model Terms formula. Double-click on the required symbol to copy it to the current input field. You can also type in operators directly. See model formula for a description of each.