Multiple Regression

I think that the coverage of the text is excellent. It carves out a seriously neglected area and it very thoroughly covers the topic. The authors are very knowledgeable concerning the literature. This is an excellent text that provides a detailed yet comprehensible account of how to estimate test and probe interactions in regression models.--David A. Kenny University of Connecticut Leona S. Aiken and Stephen G. West do an excellent job of structuring testing and interpreting multiple regression models containing interactions curvilinear effects or a combination of both. Procedures for testing and graphical displays of interactions between categorical variables have been done for years but none seems to have provided a comprehensive treatment or guideline for the analysis of interactions between continuous variables. . . . Aiken and West however address those issues quite effectively and thoroughly. . . . An aid to any graduate and/or researcher in their analysis of continuous variables. Highly recommended for graduate libraries.--ChoiceThe book would serve very well as a reference for applied researchers and methodologists. . . . 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 PsychologyResearchers in a variety of disciplines frequently encounter problems in which interactions are predicted between two or more continuous variables. However the current literature regarding how to analyze interpret and present interactions in multiple regression has been confusing. In this comprehensive volume Leona S. Aiken and Stephen G. West provide academicians and researchers with a clear set of prescriptions for estimating testing and probing interactions in regression models. Including the latest research in the area such as Fuller′s work on the corrected/constrained estimator the book is appropriate for anyone who uses multiple regression to estimate models or for those enrolled in courses on multivariate statistics.