Social scientists study complex phenomena about which they often propose intricate hypotheses tested with linear-interactive or multiplicative terms. While interaction terms are hardly new to social science research, researchers have yet to develop a common methodology for using and interpreting them. Modeling and Interpreting Interactive Hypotheses in Regression Analysis provides step-by-step guidance on how to connect substantive theories to statistical models and how to interpret and present the results.
"Kam and Franzese is a must-have for all empirical social scientists interested in teasing out the complexities of their data."
—Janet M. Box-Steffensmeier, Ohio State University
"Kam and Franzese have written what will become the definitive source on dealing with interaction terms and testing interactive hypotheses. It will serve as the standard reference for political scientists and will be one of those books that everyone will turn to when helping our students or doing our work. 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."
—David A. M. Peterson, Department of Political Science, Texas A&M University
"Kam and Franzese have given scholars and teachers of regression models something they've needed for years: a clear, concise guide to understanding multiplicative interactions. Motivated by real substantive examples and packed with valuable examples and graphs, their book belongs on the shelf of every working social scientist."
—Professor Christopher Zorn, University of South Carolina
"Kam and Franzese make it easy to model what good researchers have known for a long time: many important and interesting causal effects depend on the presence of other conditions. Their book shows how to explore interactive hypotheses in your own research and how to present your results. The book is straightforward yet technically sophisticated. There are no more excuses for misunderstanding, misrepresenting, or simply missing out on interaction effects!"
—Andrew Gould, University of Notre Dame
"Focusing on the social science disciplines as well as on political science, this pedagogical book by Kam (political science, Univ. of California, Davis) and Franzese (political science, Univ. of Michigan) covers regression analysis through the interpretation of interactive hypotheses. Information on estimating and interpreting the models resulting from these hypotheses are provided, along with advice on formulating and presenting these interactive hypotheses in research."
—D. J. Gougeon, University of Scranton, Choice
Copyright © 2007, University of Michigan. All rights reserved.
There's probably no better way to learn statistics than working with the data hands-on.
To that end, we have provided the following datasets, syntax, and worksheets to help our readers work through the examples we cover in the book.
All calculations, tables, and figures can be replicated by downloading each of the following Stata datasets, Stata syntax file, and Excel file (or by downloading them all in zipped form, below):
If you are using Internet Explorer, this file will not download correctly by just clicking it. To download the file properly, right-click on the link and select "Save target as..." When you save the file, be sure to give it a ".xls" extension.