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Multiple Regression and Beyond

An Introduction to Multiple Regression and Structural Equation Modeling
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Multiple Regression and Beyond presents a conceptually focused introduction to multiple regression (MR) and structural equation modelling (SEM). The book emphasises understanding the purposes and concepts behind MR and SEM instead of complex formulae, making the material more accessible for students. It covers a range of topics, including path analysis, confirmatory factor analysis, and latent growth modelling, supported by real-world research examples and detailed figures and tables.

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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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for students and researchers in social sciences or any field requiring a clear and practical understanding of multiple regression and structural equation modelling techniques. It is particularly useful for those seeking to not only learn but apply these methods wisely in their research.

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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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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 SEMโ€”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

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.

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