Interaction Effects in Multiple Regression

by James J. Jaccard, Choi K. Wan

A synthesis of literature previously scattered across several disciplines, this volume addresses fundamental issues in the analysis of interaction effects in multiple regression with examples from different fields in the social sciences. It is organized around three core one, given sample data can we conclude that there is an interaction effect in a population? Two, if so what is the strength of that effect? And three, what is the nature of that effect?

Genres: Science

96 pages, Paperback

First published February 1, 1990

Reviews

[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.