This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models.

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.

This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the ...

Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises.

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research ...

Clearly written, the book requires only basic knowledge of inferential statistics.

But more than that, this book is the best text I have seen for getting students to really think about the importance of careful specification and testing of their hypotheses.

... Testing and interpreting interactions . Newbury Park , CA : Sage . Cohen , J. , Cohen , P. West , S. G. , & Aiken , L. S. ( 2003 ) . Applied multiple regression / correlation analysis for the behavioral ... Multiple Regression 599.