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Modeling and Interpreting Interactive Hypotheses in Regression Analyses
Author(s): Robert Franzese, Cindy D. Kam
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 (University of Michigan Press).
Publisher: University of Michigan Press
Year of Publication: 2007