This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
Interactions between Continuous Predictors in Multiple Regression
The Effects of Predictor Scaling on Coefficients of Regression Equations
Testing and Probing Three-Way Interactions
Structuring Regression Equations to Reflect Higher Order Relationships
Model and Effect Testing with Higher Order Terms
Interactions between Categorical and Continuous Variables
Reliability and Statistical Power