PDF Ebook Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, by Jacob Cohen, Patricia Cohen, Stephen G. West, Leona S. Ai
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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, by Jacob Cohen, Patricia Cohen, Stephen G. West, Leona S. Ai
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This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.
The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .
Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
- Sales Rank: #422266 in eBooks
- Published on: 2013-06-17
- Released on: 2013-06-17
- Format: Kindle eBook
Review
"...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
Patricia Cohen is a New York Times reporter covering culture and ideas. She has also worked at Rolling Stone, the Washington Post, and New York Newsday.
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.
Most helpful customer reviews
10 of 10 people found the following review helpful.
The primary textbook I consult for regression work
By rtm
This is one of the best applied statistics books I've come across. It's particularly good in its coverage of continuous by continuous variable interactions in regression as well as considering basic issues of hypothesis testing in multivariate regression. I also appreciate its discussion of historical traditions which have lead some fields to be more dependent upon regression and some more ANOVA. I haven't seen one other text that comes even close.
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.
5 of 6 people found the following review helpful.
Excellent for practicing social scientists
By Jackal
This is an excellent book for social scientists that run regressions. The book's focus in practical and has good discussions on violation of regression assumptions. This edition is actually an updated combination of a book by Cohen & Cohen's and a book by Aiken & West. The latter book has been heavily cited for its discussion of moderation analysis. I would complement this book with Wooldridge's excellent Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card), which covers similar ground but with an economics focus.
1 of 1 people found the following review helpful.
classic!
By Yi Ou
Well, we all know that it is a must-have for all students learning regression. I just started to read it and found that it also included multilevel issues. Cool, how could these guys be so advanced years ago?
See all 30 customer reviews...
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