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

Jacob Cohen , Patricia Cohen , Stephen G. West , Leona S. Aiken
3.9 out of 5 stars  See all reviews (18 customer reviews)

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Book Description

August 1, 2002 0805822232 978-0805822236 Third

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.

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Editorial Reviews


"...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

Product Details

  • Hardcover: 736 pages
  • Publisher: Routledge; Third edition (August 1, 2002)
  • Language: English
  • ISBN-10: 0805822232
  • ISBN-13: 978-0805822236
  • Product Dimensions: 10.1 x 7.3 x 1.7 inches
  • Shipping Weight: 3.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #172,696 in Books (See Top 100 in Books)

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Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
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Most Helpful Customer Reviews
9 of 9 people found the following review helpful
5.0 out of 5 stars The primary textbook I consult for regression work September 5, 2011
By dtae
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.
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5 of 5 people found the following review helpful
5.0 out of 5 stars Excellent for practicing social scientists October 27, 2009
By Jackal
Format:Hardcover|Verified Purchase
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.
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1 of 1 people found the following review helpful
5.0 out of 5 stars classic! May 8, 2012
By Yi Ou
Format:Hardcover|Verified Purchase
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?
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2 of 3 people found the following review helpful
4.0 out of 5 stars Second Grad Stats May 6, 2007
Format:Hardcover|Verified Purchase
I've adopted this text for my graduate seminar in Multiple Regression. I choose it over other texts for the topics AND because it's focus is on concepts rather than math. Now that we can carry SPSSX in our brief case, there is no need to focus on that computation.
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5.0 out of 5 stars Canonical Text February 28, 2014
Format:Hardcover|Verified Purchase
If you're going to be doing correlation and regression analyses as a researcher, then this is the canonical text. You will want this book as a reference.
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5.0 out of 5 stars Great reference for methods! November 3, 2013
Format:Kindle Edition|Verified Purchase
An excellent reference on multiple methods topics that I have relied upon extensively. Having he Kindle version is even more advantagous due to its' search-ability and the electronic notes and highlights capability.
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5.0 out of 5 stars Classic for behavior research June 25, 2013
By nina.h
Format:Hardcover|Verified Purchase
I got this book for class... It is really helpful too me even after the class... Must have for behavior research... very classic... I still use it when I do paper writing...
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5.0 out of 5 stars Good one to have on the shelf. March 21, 2010
Format:Hardcover|Verified Purchase
I bought this book as a reference, so I haven't read everything in it. However, it is an extremely useful book to have on the shelf. I bought it because I had borrowed it from my advisor at least 3 times in the last six months. I recommend this book for anyone who uses the general linear model on a regular basis.
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Most Recent Customer Reviews
3.0 out of 5 stars Okay book
This book could have been written better by using technical writing standards. At times, the wording is bloviated when it could have been written in laymen's terms. Read more
Published 2 months ago by Christina Turner
3.0 out of 5 stars The books got street cred
My stats teacher [who is pretty much a g (g is for genius)] kinda looks at this book as the regression bible so I think it's good if you really wanna know regression. Read more
Published 2 months ago by Julie L Martin
3.0 out of 5 stars Its jut a textbook about applied multiple regression analysis
I chose the book because its a required text for my class. what else am I supposed to say about it? It's not like I had a choice in the matter.
Published 4 months ago by Kevin Kiwon Park
3.0 out of 5 stars Okay
This is a good text, and very helpful, but not the most user-friendly. In other words, you have to know a thing or two about regression before you get the latter chapters.
Published 7 months ago by Ian
3.0 out of 5 stars Best book out there, I guess
This book is pretty dry and boring to read as a textbook. However, I have heard that it is the best regression book out there. It has all the formulas you'll ever need. Read more
Published 17 months ago by K-A
4.0 out of 5 stars Required Reading
This text is required reading for a doctoral level statistics course. It arrived on time and in good condition as promised by the seller. Read more
Published 22 months ago by Glenda Dickonson
4.0 out of 5 stars In-depth but easy to read
I purchased this book to use with a grad class in multiple regression, where the syllabus follows the book closely. Read more
Published on September 29, 2011 by Lisa Lynn
3.0 out of 5 stars Grad student needing book for MLR course
I needed this book for my MLR course. Glad it wasn't too expensive. So far it's been somewhat useful. Definitely a good resource to have.
Published on May 2, 2010 by Jack Bauer
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