Interaction Effects in Linear and Generalized Linear Models

Examples and Applications Using Stata

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Interaction Effects in Linear and Generalized Linear Models by Robert L. Kaufman, SAGE Publications
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Author: Robert L. Kaufman ISBN: 9781506365367
Publisher: SAGE Publications Publication: September 6, 2018
Imprint: SAGE Publications, Inc Language: English
Author: Robert L. Kaufman
ISBN: 9781506365367
Publisher: SAGE Publications
Publication: September 6, 2018
Imprint: SAGE Publications, Inc
Language: English

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.

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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.

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