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Modeling and interpreting interactive hypotheses in regression analysis

C. Kam, and R. Franzese. Univ. of Michigan Press, Ann Arbor, Mass., (2007)

Abstract

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.

Links and resources

URL:
http://www.press.umich.edu/KamFranzese/Interactions.html
BibTeX key:
Kam.2007
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