Related Procedures

The Probit Analysis procedure is a useful tool for modeling a binomial dependent variable.

The Binary Logistic Regression procedure uses a logistic link model for predicting the event probability for a categorical response variable with two outcomes, and is generally more useful than Probit Analysis when your study is not a dose-response experiment.
The Ordinal Regression procedure can be used to predict a categorical variable with two outcomes, and offers several different link functions. It is a better choice than Probit Analysis for general probit modeling when your study is not a dose-response experiment.