Modeling and Interpreting Interactive Hypotheses in Regression Analysis

Name: Modeling and Interpreting Interactive Hypotheses in Regression Analysis
Price: 32.95 USD
Availability: InStock
ISBN: 9780472099696

ISBN-10: 0472099698

ISBN-13: 9780472099696

Edition: 2007

Authors: Robert Franzese, Cindy Kam, Robert J. Franzese

List price: $75.00

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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…

Book details

List price: $75.00
Copyright year: 2007
Publisher: University of Michigan Press
Publication date: 7/26/2007
Binding: Hardcover
Pages: 168
Size: 6.00" wide x 9.00" long x 0.70" tall
Weight: 0.880
Language: English




Introduction



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



Extensions


Separate-Sample versus Pooled-Sample Estimation of Interactive Effects


Nonlinear Models


Random-Effects Models and Hierarchical Models



Summary



Differentiation Rules



Stata Syntax


Marginal Effects, Standard Errors, and Confidence Intervals


Predicted Values, Standard Errors, and Confidence Intervals


Marginal Effects, Using "lincom"


References


Index