Interaction Effects in Multiple Regression

by James J. Jaccard, Robert Turrisi

Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.


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Genres: Science

104 pages, Paperback

First published February 1, 1990

Reviews

[Kayla · Rating 3 out of 5]

3.5 stars. The parts about product terms were fairly easy to understand, though I feel the author could have made it a bit more accessible. The last chapter about other considerations was much less accessible.

[May Ling · Rating 3 out of 5]

This book does a decent job of describing the interaction effects in multiple regression. People that have read this should already understand fully regression and the various type of errors.

This book should not be used without a reference to a fully body of work on modeling. However, if you are specifically looking only to get up on interaction effects, this book does a decent job.

[Katie · Rating 5 out of 5]

Excellent textbook. Very detailed but also easy to understand. Makes the topic very plain.