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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition Hardcover – August 1, 2002
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"...anyone with an interest in or need to carry out MR will find it invaluable." - British Journal of Mathematical and Statistical Psychology
"I can't see how a practicing research psychologist could be without a copy." - Dr. Steven P. Reise, University of California at Los Angeles
"Overall we think the book successfully reflects more contemporary issues, thinking, and advances in multiple regression and correlation....The general style and format, consistent with the previous editions, is understandable while still retaining depth and comprehensiveness." - Drs. Lynda A. and Daniel W. King, Boston University School of Medicine
"I think VERY highly of this revision....The chapter on regression diagnostics and graphics (Ch. 4) is a wonderful addition. Also, the emphasis on confidence intervals is great, as is the extensive discussion on logistic regression." - Dr. William F. Chaplin, University of Alabama, Tuscaloosa
"I have always felt that the book's major strength was its ability to blend careful, thoughtful explanation with a relatively non-technical exposition....I am happy to say that in my opinion this edition retains and furthermore expands upon this strength." - Dr. Harry Reis, University of Rochester
About the Author
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 ofPsychological Methods, published by APA.
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.
Eliot A. Cohen is the Robert E. Osgood Professor of Strategic Studies at the Paul H. Nitze School of Advanced International Studies (SAIS) of the Johns Hopkins University and founding director of the Philip Merrill Center for Strategic Studies there. A graduate of Harvard College, he received his Ph.D. in political science at Harvard in 1982. After teaching at Harvard and at the Naval War College (Department of Strategy) he served on the policy planning staff of the Office of the Secretary of Defense, coming to SAIS in 1990. His most recent book is "Supreme Command: Soldiers, Statesmen, and Leadership in Wartime" (Free Press, 2002): other books include (with John Gooch) "Military Misfortunes: The Anatomy of Failure in War". In 1991-93 he directed the US Air Force's official multi-volume study of the 1991 Gulf War, the "Gulf War Air Power Survey". He has served as an officer in the United States Army Reserve, and as a member of the Defense Policy Advisory Board of the Office of the Secretary of Defense as well as other government advisory bodies.
Top Customer Reviews
It can be a little difficult to connect with contemporary statistics software (e.g. Stata) and terminology at times. For example, they refer to a technique called Fisher's Protected Least Square Difference Test, which I believe to be the same a joint significance in more common regression parlance, but it is hard to confirm. These type of problems are to be expected with different fields using different terms.
One negative reviewer complains that this book is difficult. This depends on what kind of text one is comparing it to. For the deep level of very useful information that it covers, it is the most readable text I've encountered.
That being said--I did struggle with some of the reading and found that some of the more complex concepts can be explained more clearly in Fields' book. Nonetheless this is one of the most comprehensive books out there on regression.
If you're looking for more of a multi-dimensional research methods book--I would go with Tabatchnick and Fidell.
Most Recent Customer Reviews
A bit dense but it doesn't skimp on details or conceptual foundations. I would love it to be a little more accessible, but I understand the topic inherently has some accessibility... Read morePublished 10 months ago by Carrie Booth
You have to understand the MRC if you are a researcher in the behavioural science (or want to be one), and this book, bulky though it be, is a great help for you to make sense of... Read morePublished 17 months ago by Gary Wong