Multiple Regression
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Multiple Regression
Testing and Interpreting Interactions


© 1991 | 224 pages | SAGE Publications, Inc

"I think that the coverage of the text is excellent. It carves out a seriously neglected area and it very thoroughly covers the topic. The authors are very knowledgeable concerning the literature. This is an excellent text that provides a detailed, yet comprehensible account of how to estimate, test, and probe interactions in regression models."

--David A. Kenny, University of Connecticut

"Leona S. Aiken and Stephen G. West do an excellent job of structuring, testing, and interpreting multiple regression models containing interactions, curvilinear effects, or a combination of both. Procedures for testing and graphical displays of interactions between categorical variables have been done for years but none seems to have provided a comprehensive treatment or guideline for the analysis of interactions between continuous variables. . . . Aiken and West, however, address those issues quite effectively and thoroughly. . . . An aid to any graduate and/or researcher in their analysis of continuous variables. Highly recommended for graduate libraries."

--Choice

"The book would serve very well as a reference for applied researchers and methodologists. . . . In particular, this would be an excellent reference for anyone who encounters a multivariable prediction problem and has reason to believe that either a nonlinear model or a model including a variable product term would be appropriate."

--Contemporary Psychology

Researchers in a variety of disciplines frequently encounter problems in which interactions are predicted between two or more continuous variables. However, the current literature regarding how to analyze, interpret, and present interactions in multiple regression has been confusing. In this comprehensive volume, Leona S. Aiken and Stephen G. West provide academicians 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.

 
Introduction
 
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
 
Conclusion
Some Contrasts Between ANOVA and MR in Practice  

"The book would serve very well as a reference for applied researchers and methodologiests. . . . In particular, this would be an excellent reference for anyone who encounters a multivariable prediction problem and has reason to believe that either a nonlinear model or a model including a variable product term would be appropriate." 

Contemporary Psychology

Adopting for Fall 2015/Spring 2016 - wonderful book on how to interpret interactions; very clear.

Dr Jennifer Stewart
Psychology Dept, Cuny Queens College
March 3, 2015

I received the book after the semester started so I was unable to incorporate the textbook into the course for Spring 2015. I plan to add it to this course for Fall 2015 and Spring 2016, however.

I received an invoice for $113.22 for the book and will pay it, but I was surprised that I had to pay for an instructor review copy since I did not have to pay for a review copy for the Sage Field book that I adopted for the course.

Dr Jennifer Stewart
Psychology Dept, Cuny Queens College
March 3, 2015

Sample Materials & Chapters

Preface

Chapter 1

Chapter 3


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ISBN: 9780761907121