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Multiple Regression: Testing and Interpreting Interactions
 
 
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Multiple Regression: Testing and Interpreting Interactions (Paperback)

by Leona S. Aiken (Author), Dr. Stephen G. West (Author)
4.1 out of 5 stars See all reviews (8 customer reviews)

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Customers buy this book with Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition by Patricia Cohen

Multiple Regression: Testing and Interpreting Interactions + Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, Third Edition
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Editorial Reviews

Review

"The book would serve very well as a reference for applied researchers and methodologiests. . . . In particular, this would be an excellent reference for anyone who encounters a multivariable prediction problem and has reason to believe that either a nonlinear model or a model including a variable product term would be appropriate." 

-- Review

Review

"The book would serve very well as a reference for applied researchers and methodologiests. . . . In particular, this would be an excellent reference for anyone who encounters a multivariable prediction problem and has reason to believe that either a nonlinear model or a model including a variable product term would be appropriate." 

(Contemporary Psychology )

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Product Details

  • Paperback: 224 pages
  • Publisher: Sage Publications, Inc (January 1, 1991)
  • Language: English
  • ISBN-10: 0761907122
  • ISBN-13: 978-0761907121
  • Product Dimensions: 8.4 x 5.5 x 0.7 inches
  • Shipping Weight: 11.4 ounces (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars See all reviews (8 customer reviews)
  • Amazon.com Sales Rank: #208,688 in Books (See Bestsellers in Books)

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Customer Reviews

8 Reviews
5 star:
 (4)
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 (2)
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Average Customer Review
4.1 out of 5 stars (8 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
7 of 7 people found the following review helpful:
5.0 out of 5 stars Invaluable and accessible, October 2, 2002
By Christian Hart (Los Angeles, CA USA) - See all my reviews
(REAL NAME)   
Back when the book was first published, I was completing doctoral research. Aiken & West provided the explanations and instructions that enabled me to complete my dissertation. Nowhere else have I seen the information they provide; seldom have I seen statistical treatments as clearly and easily explained. Like many in the social sciences, math was not my greatest intellectual ability. This book made computing and understanding regression interactions a relative breeze. One reviewer bemoaned the lack of information on interactions among categorical variables. I suppose he didn't read the preface that specifically explains the reason for the absence: such information is widely available in any good statistical text. What Aiken & West provide can't be found elsewhere in any real depth. I am ordering another copy of the book because I'm tired of loaning out my copy to colleagues, especially one who has now begun to copy whole chapters. Yes, it's that useful.
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6 of 6 people found the following review helpful:
4.0 out of 5 stars one-step guide to interaction effect, April 3, 2000
By A Customer
A colleague recommanded this book, when I was struggling with multip-effect interaction. The book proved to be an apt and excellent choice for this kind of problem. There are several chapters detailing the interactions, unlike many other regression textbooks, which tend to skim over this subject. If the authors could be more succint in their writing, this book would have definitely deserved a 5-star.
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4 of 4 people found the following review helpful:
5.0 out of 5 stars revolutionary, July 3, 2003
This book has revolutionized the way psychologists think about interactions. It provides step-by-step instructions on how to probe the moderating effects after you find a significant interaction in a multiple regression.

The basic idea about interaction is that the relationship between two variables were different according to a third variable. For example, some risk factors (such as poor family income) may affect children's academic achievement in a negative way. However, if the parents provide enough support on their children's study, then it's possible that the risk factors will no longer influence their children test scores. Therefore, with low support, risk factors are very effective, but with high support, risk factors have not effects. This book teaches you how to probe this relationship in a systematic way, it covers 2-way, 3-way interactions and also quardratic relationships.

If you fully understand this book, the techniques you have will be enough for a masters thesis in your area.

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Most Recent Customer Reviews

3.0 out of 5 stars OK
You need to read Jaccard and Turrisi's Interaction effects in multiple regression before reaing this book. Read more
Published on July 23, 2006 by James Digabriele

5.0 out of 5 stars A MUST have for anyone using regression analysis
This book takes a very practical approach to the analysis of interactions in regression. No other book I've used has covered these topics as clearly or in as much depth. Read more
Published on March 4, 2003 by Kenneth DeMarree

2.0 out of 5 stars Lacking
Yes, there is some good information and discussion in this book but for the price I would expect it to be more complete. Read more
Published on September 12, 2002

5.0 out of 5 stars THE reference for interactions in multiple regression
While the presentation and writing might not be quite perfect for some readers, this book provides the best coverage of handling interactions in multiple regression that I've yet... Read more
Published on March 13, 2002

4.0 out of 5 stars Multiple Regression
If you want to get the most out of 2 continuous predictors in your data, then this book will be very useful. Read more
Published on April 11, 2000

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