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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences [Hardcover]

Jacob Cohen , Patricia Cohen , Stephen G. West , Leona S. Aiken
4.3 out of 5 stars  See all reviews (3 customer reviews)
Price: 75.00 & FREE Delivery in the UK. Details
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Book Description

12 Sep 2002 0805822232 978-0805822236 3

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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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences + Multiple Regression: Testing and Interpreting Interactions + Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
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Product details

  • Hardcover: 736 pages
  • Publisher: Routledge; 3 edition (12 Sep 2002)
  • Language: English
  • ISBN-10: 0805822232
  • ISBN-13: 978-0805822236
  • Product Dimensions: 25.6 x 18.6 x 4.4 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 595,934 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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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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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
Format:Hardcover
You would have to say that this book is not the kind of thing you'd be likely to keep by your bedside. It's over 600 pages detailing the many different forms of analyses within the family of multiple correlation/regression analysis. But despite the complexity of the material, I found it surprisingly accessible -- even engaging -- with very clear definition of basic concepts and procedures; and a style and formatting that leads the reader through the different kinds of analyses. It's certainly not a first text book on stats -- for that, see something like Discovering Statistics Using SPSS (Introducing Statistical Methods series) -- but for a reader who is relatively confident with statistical and mathematic language, and who is planning to use multiple regression analyses, its an essential and comprehensive resource.
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3.0 out of 5 stars I pity anyone else also having to read this 8 Jan 2014
By Jamie
Format:Hardcover|Verified Purchase
This is a mandatory text for my advanced regression course and only having covered the first several chapters I would have to say that this book is very technical in explanation and lacks clarity. The writing is highly mathematically based as opposed to conceptual and contains many errors. I would suggest a Tabachnick and Fidell text for those wishing to gain a greater understanding of the material.
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2 of 3 people found the following review helpful
5.0 out of 5 stars excellent boook 3 Jan 2010
Format:Hardcover
This is an excellent book which i strongly recommend to anyone who would like to acquire a good understanding of regression and correlation analysis.
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Amazon.com: 4.0 out of 5 stars  17 reviews
9 of 9 people found the following review helpful
5.0 out of 5 stars The primary textbook I consult for regression work 6 Sep 2011
By dtae - Published on Amazon.com
Format:Hardcover
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.
4 of 4 people found the following review helpful
5.0 out of 5 stars Excellent for practicing social scientists 28 Oct 2009
By Jackal - Published on Amazon.com
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.
1 of 1 people found the following review helpful
5.0 out of 5 stars classic! 9 May 2012
By Yi Ou - Published on Amazon.com
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?
3.0 out of 5 stars The books got street cred 23 April 2014
By Julie L Martin - Published on Amazon.com
Format:Hardcover|Verified Purchase
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. That being said, it's a little pricy. Too rich for my blood.
5.0 out of 5 stars Canonical Text 28 Feb 2014
By Micah Mumper - Published on Amazon.com
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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