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Modeling and Interpreting Interactive Hypotheses in Regression Analysis

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ISBN-10: 0472069691

ISBN-13: 9780472069699

Edition: 2007

Authors: Robert J. Franzese, Cindy Kam

List price: $26.95
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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 Analysisprovides 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…    
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Book details

List price: $26.95
Copyright year: 2007
Publisher: University of Michigan Press
Publication date: 7/26/2007
Binding: Paperback
Pages: 168
Size: 6.00" wide x 9.25" long x 0.25" tall
Weight: 0.616
Language: English

Interactions in Social Science
Theory to Practice
Specifying Empirical Models to Reflect Interactive Hypotheses
Interpreting Coefficients from Interactive Models
Linking Statistical Tests with Interactive Hypotheses
Presentation of Interactive Effects
The Meaning, Use, and Abuse of Some Common General-Practice Rules
Colinearity and Mean-Centering the Components of Interaction Terms
Including x and z when xz Appears
Separate-Sample versus Pooled-Sample Estimation of Interactive Effects
Nonlinear Models
Random-Effects Models and Hierarchical Models
Differentiation Rules
Stata Syntax
Marginal Effects, Standard Errors, and Confidence Intervals
Predicted Values, Standard Errors, and Confidence Intervals
Marginal Effects, Using "lincom"