» Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)

Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
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Rating: 5.0 / 5.00 (2 reviews)


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Manufacturer: Sage Publications, Inc

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Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences) Details

Binding: Paperback
Dewey Decimal Number: 519.5360243
EAN: 9780761927426
ISBN: 0761927425
Label: Sage Publications, Inc
Manufacturer: Sage Publications, Inc
Number Of Items: 1
Number Of Pages: 107
Publication Date: 2003-03-05
Publisher: Sage Publications, Inc
Studio: Sage Publications, Inc


Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences) Reviews

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: 6 Stars
Comment: If I could, I would give this book an even higher rating! There is no doubt that this is THE BOOK for interaction effects in multiple regession. The authors do a fantastic job with the topic and make sense!

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Excellent overview of interactions in regression
Comment: This is a very nice updated version of the original edition. The book is short at 89 pages, information packed, and solidly grounded. The book is meant for people who *use* interaction effects in thier research. (It is not meant for people who study regression methods.)



STRONG POINTS: It references the key developments in the methodological literature, the most significant of which appeared in Psychological Bulletin. It even discusses in layman terms Chronbach's (of the Chronbach Alpha fame) recent paper in Psyc Bulletin on errors in interactions.



SCOPE: The book covers two-way and three-way interactions. It offers a digestable discussion of variable transformations. The authors clarify two of the biggest misperceptions about testing interactions: (1) It is incorrect to interpret the main effects in the presence of interaction terms and (2) Multicollinearity is rarely a problem with interaction terms if you appropriately transform the variables.



WHAT THE BOOK DOES NOT COVER: The book does not discuss (1) mediation testing and (2) is missing a key reference on that topic. If you're reading this, it will probably be helpful! [1] R. Baron and D. Kenny, "The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations," Journal of Personality and Social Psychology, 51 1986, 1173-1182.

Overall, the book is very well written, readable, and usable in doing interaction analyses. It is meant for the consumer not the producer of statistical methods. SPSS exemplars and detailed interpretations really help clarify the points. For fifteen bucks, this is worth owning, dog-earing, and highlighting. Very highly recommended.


Editorial Review for Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences):

Text introduces the reader to the basics of interaction analysis using multiple regression methods with one or more continuous predictor variables. Includes new topics such as interaction models with clustered data and random coefficient models. For practicing researchers. Softcover.



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