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Interaction Effects in Linear and Generalized Linear Models Examples and Applications Using Stata 1st Robert Kaufman

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Interaction Effects in Linear and Generalized Linear Models Examples and Applications Using Stata 1st Robert L. Kaufman – Ebook PDF Instant Download/Delivery: 150636537X, 978-1506365374
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ISBN 10:   150636537X
ISBN 13: 978-1506365374
Author:   Robert L. Kaufman

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman’s website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.
 

Interaction Effects in Linear and Generalized Linear Models Examples and Applications Using Stata 1st Table of contents:

1. Introduction and Background

PART I. PRINCIPLES

2. Basics of Interpreting the Focal Variable’s Effect in the Modeling Component

3. The Varying Significance of the Focal Variable’s Effect

4. Linear (Identity Link) Models: Using the Predicted Outcome for Interpretation

5. Nonidentity Link Functions: Challenges of Interpreting Interactions in Nonlinear Models

PART II. APPLICATIONS

6. ICALC Toolkit: Syntax, Options, and Examples

7. Linear Regression Model Applications

8. Logistic Regression and Probit Applications

9. Multinomial Logistic Regression Applications

10. Ordinal Regression Models

11. Count Models

12. Extensions and Final Thoughts

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