Modeling and Interpreting Interactive Hypotheses in Regression Analyses

Author(s): Robert Franzese, Cindy D. Kam

Modeling and Interpreting Interactive Hypotheses in Regression Analyses

Description:

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).  




Publication Information:

Publisher: University of Michigan Press

Year of Publication: 2007