Related Procedures
The Model Selection Loglinear Analysis procedure is a useful tool for modeling the relationships between categorical variables.
- The Crosstabs procedure is useful for displaying the crosstabulation tables analyzed by the Model Selection Loglinear Analysis procedure.
- The General Loglinear Analysis procedure provides more input and output options, and is useful for examining the final model produced by Model Selection Loglinear Analysis.
- The Logit Loglinear Analysis procedure uses loglinear models to specifically treat one or more categorical variables as responses, and tries to predict their values given the other categorical variables.