Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition

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9780805822236: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition

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.

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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.

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

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Book Description Taylor Francis Inc, United States, 2002. Hardback. Book Condition: New. 3rd Revised edition. 259 x 180 mm. Language: English . Brand New Book. 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 . 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. Bookseller Inventory # LIB9780805822236

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Book Description Taylor Francis Inc, United States, 2002. Hardback. Book Condition: New. 3rd Revised edition. 259 x 180 mm. Language: English . Brand New Book. 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 . 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. Bookseller Inventory # LIB9780805822236

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