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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, 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."
---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
Cindy D. Kam is Assistant Professor, Department of Political Science, University of California, Davis.
Robert J. Franzese Jr. is Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan.
For datasets, syntax, and worksheets to help readers work through the examples covered in the book, visit: www.press.umich.edu/KamFranzese/Interactions.html
"synopsis" may belong to another edition of this title.
Cindy D. Kam is Assistant Professor of Political Science at the University of California, Davis Robert J. Franzese, Jr. is Associate Professor of Political Science at the University of Michigan and Research Associate Professor in the Center for Political Studies at the Institute for Social Research.Review:
"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
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Book Description University of Michigan Press, 2007. PAPERBACK. Condition: New. 0472069691 . Seller Inventory # Z0472069691ZN
Book Description Univ Michigan Press. Condition: BRAND NEW. BRAND NEW Softcover A Brand New Quality Book from a Full-Time Veteran Owned Bookshop in business since 1992!. Seller Inventory # 2260779
Book Description University of Michigan Press, 2007. Paperback. Condition: BRAND NEW. Seller Inventory # 0472069691_abe_bn
Book Description The University of Michigan Press, United States, 2007. Paperback. Condition: New. Language: English. Brand new Book. This much-needed pedagogical guide explains the usage, interpretation, and presentation of interactive terms in regression analysis. Authors Franzese and Kam address persistent difficulties in the modeling and interpretation of these terms, and help scholars draw stronger links between substantive theory and statistical modeling. Their concise, self-contained guide is designed to help undergraduate and graduate students appreciate the proper use of statistics in the social sciences, and to offer researchers and practitioners a clear, compact, and handy reference guide on the use of models that incorporate interactive terms. Seller Inventory # TNP9780472069699
Book Description University of Michigan Press, 2007. Paperback. Condition: New. 1. Seller Inventory # DADAX0472069691
Book Description University of Michigan Press, 2007. Condition: New. book. Seller Inventory # MB00SB2R5XE
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Book Description Univ of Michigan Pr, 2007. Paperback. Condition: Brand New. 1st edition. 153 pages. 9.25x6.00x0.25 inches. In Stock. Seller Inventory # 0472069691
Book Description University of Michigan Press. PAPERBACK. Condition: New. 0472069691 New Condition. Seller Inventory # NEW33.1749055