Multiple Regression and Beyond
The latest edition introduces new chapters on mediation, moderation, common causes, and multilevel SEM interactions, alongside expanded advanced SEM topics and international case studies.
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Multiple Regression and Beyond
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Multiple Regression and Beyond
Companion Website materials: https://tzkeith.com/
Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEMโand more likely to use the methods wisely.
This book:
- Covers both MR and SEM, while explaining their relevance to one another
- Includes path analysis, confirmatory factor analysis, and latent growth modeling
- Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises
- Extensive use of figures and tables providing examples and illustrating key concepts and techniques
New to this edition:
- New chapter on mediation, moderation, and common cause
- New chapter on the analysis of interactions with latent variables and multilevel SEM
- Expanded coverage of advanced SEM techniques in chapters 18 through 22
- International case studies and examples
- Updated instructor and student online resources
Book Details
INFORMATION
ISBN: 9781138061446
Publisher: Taylor & Francis Ltd
Format: Paperback / softback
Date Published: 25 January 2019
Country: United Kingdom
Imprint: Routledge
Edition: 3rd edition
Illustration: 58 Tables, black and white; 418 Line drawings, black and white; 418 Illustrations, black and white
Audience: Tertiary education
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 1130g
Pages: 654
About the Author
Timothy Z. Keith is Professor of Educational Psychology at the University of Texas, Austin. His research is focused on the nature and measurement of intelligence, including the validity of tests of intelligence and the theories from which they are drawn. His research has been recognized with awards from the three major journals in school psychology, and he was awarded the senior scientist distinction by the School Psychology division of APA.
Also by Timothy Z. Keith
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