9781138061446-1138061441-Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling

ISBN-13: 9781138061446
ISBN-10: 1138061441
Edition: 3
Author: Timothy Z. Keith
Publication date: 2019
Publisher: Routledge
Format: Paperback 640 pages
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Book details

ISBN-13: 9781138061446
ISBN-10: 1138061441
Edition: 3
Author: Timothy Z. Keith
Publication date: 2019
Publisher: Routledge
Format: Paperback 640 pages

Summary

Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling (ISBN-13: 9781138061446 and ISBN-10: 1138061441), written by authors Timothy Z. Keith, was published by Routledge in 2019. With an overall rating of 3.9 stars, it's a notable title among other Research (Social Sciences) books. You can easily purchase or rent Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling (Paperback) from BooksRun, along with many other new and used Research books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $13.15.

Description

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 SEM--and 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

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