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Multiple Regression: Testing and Interpreting Interactions Paperback – January 1, 1991

ISBN-13: 978-0761907121 ISBN-10: 0761907122

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Multiple Regression: Testing and Interpreting Interactions + Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition + Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences)
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Product Details

  • Paperback: 224 pages
  • Publisher: SAGE Publications, Inc (January 1, 1991)
  • Language: English
  • ISBN-10: 0761907122
  • ISBN-13: 978-0761907121
  • Product Dimensions: 5.5 x 0.5 x 8.5 inches
  • Shipping Weight: 12 ounces (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #684,576 in Books (See Top 100 in Books)

Editorial Reviews

Review

"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)

About the Author

Leona S. Aiken (PhD, Purdue University) is Professor and Chair of Social and Quantitative Psychology at Arizona State University. Her research interests include both quantitative methods and health psychology. In quantitative methods, she is known for her work in continuous variable interactions in multiple regression. She is also interested in the use of design approaches and mediational analysis to untangle the effects of individual components in multi-component interventions. In health psychology, she is interested in adoption of health protective behaviors across the life span, particularly among women, both from the perspectives of psychosocial models of the putative determinants of health protective behavior and from the perspective of interventions to increase health protective behavior.

Stephen G. West (PhD, University of Texas at Austin) is Professor of Quantitative and Social Psychology at the University of Arizona. His current quantitative research interests include field research methods, structural equation modeling, multiple regression analysis, mediational analysis, graphics and exploratory data analysis, and longitudinal data analysis. Current social psychology research interests include personality research, applied social, prevention-related issues in health, mental health. He is the editor of Psychological Methods, published by APA.

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Customer Reviews

4.3 out of 5 stars
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Most Helpful Customer Reviews

9 of 9 people found the following review helpful By Christian Hart on October 2, 2002
Format: Paperback
Back when the book was first published, I was completing doctoral research. Aiken & West provided the explanations and instructions that enabled me to complete my dissertation. Nowhere else have I seen the information they provide; seldom have I seen statistical treatments as clearly and easily explained. Like many in the social sciences, math was not my greatest intellectual ability. This book made computing and understanding regression interactions a relative breeze. One reviewer bemoaned the lack of information on interactions among categorical variables. I suppose he didn't read the preface that specifically explains the reason for the absence: such information is widely available in any good statistical text. What Aiken & West provide can't be found elsewhere in any real depth. I am ordering another copy of the book because I'm tired of loaning out my copy to colleagues, especially one who has now begun to copy whole chapters. Yes, it's that useful.
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8 of 8 people found the following review helpful By A Customer on April 3, 2000
Format: Paperback
A colleague recommanded this book, when I was struggling with multip-effect interaction. The book proved to be an apt and excellent choice for this kind of problem. There are several chapters detailing the interactions, unlike many other regression textbooks, which tend to skim over this subject. If the authors could be more succint in their writing, this book would have definitely deserved a 5-star.
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7 of 7 people found the following review helpful By sleepy_bn on July 3, 2003
Format: Paperback
This book has revolutionized the way psychologists think about interactions. It provides step-by-step instructions on how to probe the moderating effects after you find a significant interaction in a multiple regression.
The basic idea about interaction is that the relationship between two variables were different according to a third variable. For example, some risk factors (such as poor family income) may affect children's academic achievement in a negative way. However, if the parents provide enough support on their children's study, then it's possible that the risk factors will no longer influence their children test scores. Therefore, with low support, risk factors are very effective, but with high support, risk factors have not effects. This book teaches you how to probe this relationship in a systematic way, it covers 2-way, 3-way interactions and also quardratic relationships.
If you fully understand this book, the techniques you have will be enough for a masters thesis in your area.
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4 of 4 people found the following review helpful By Kenneth DeMarree on March 4, 2003
Format: Paperback Verified Purchase
This book takes a very practical approach to the analysis of interactions in regression. No other book I've used has covered these topics as clearly or in as much depth. The extensive discussion of decomposing interactions is a prime example. With the push to replace old techniques of dichotomizing continuous variables with a continuous (regression) treatment of these variables (especially in psychology), this book is extremely important.
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4 of 4 people found the following review helpful By A Customer on March 13, 2002
Format: Paperback
While the presentation and writing might not be quite perfect for some readers, this book provides the best coverage of handling interactions in multiple regression that I've yet seen. Everyone who does multiple regression with any regularity needs to have this book on their shelf.
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5 of 6 people found the following review helpful By A Customer on April 10, 2000
Format: Paperback
If you want to get the most out of 2 continuous predictors in your data, then this book will be very useful. Excellent description of how to graph 2-way interactions in multiple regression equations, as well as theoretical recommendations for adding/removing higher order terms.
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1 of 1 people found the following review helpful By Claddagh on July 17, 2012
Format: Paperback
This is it for me...the classic work on regression that basically makes the whole concept of interactions easily understandable, testable and ultimately much easier to plot and interpret. I used this text when completing my own doctoral work and have subsequently used it to teach statistics on the graduate level. For students struggling with understanding the concept of mediators and moderators, this is also a very helpful guide. It is certainly a priceless resource when working in a research environment, outside of academia as well. One final note, this work is only relative to continuous variables and not meant for log-linear or PCA predictions.
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