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This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results.
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Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata
October 17, 2018; 2019, SAGE Publications, Incorporated
Hardcover
in English
- First edition
150636537X 9781506365374
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Book Details
Table of Contents
Edition Notes
The author’s website at www.icalcrlk.com provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.
Includes bibliographical references (pages 573-576) and index.
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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, 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.
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Feedback?September 13, 2021 | Edited by ImportBot | import existing book |
September 13, 2021 | Edited by Kaustubh Chakraborty | Added id numbers, classifications and descriptions |
August 13, 2020 | Created by ImportBot | import new book |