Structural Equation Modeling With AMOS

Basic Concepts, Applications, and Programming, Second Edition

By Barbara M. Byrne

© 2010 – Routledge

416 pages

Purchasing Options:
Paperback: 9780805863734
pub: 2009-07-28
US Dollars$55.95
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Hardback: 9780805863727
pub: 2009-07-28
US Dollars$140.00
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e–Inspection Copy

About the Book

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written for the novice SEM user. With each chapter, the author "walks" the reader through all steps involved in testing the SEM model including:

  • an explanation of the issues addressed
  • an illustration of the hypothesized and posthoc models tested
  • AMOS input and output with accompanying interpretation and explanation
  • The function of the AMOS toolbar icons and their related pull-down menus
  • The data and published reference upon which the model was based.

With over 50% new material, highlights of the new edition include:

  • All new screen shots featuring Version 17 of the AMOS program
  • All data files now available at www.routledge.com/9780805863734
  • Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data
  • All applications based on the most commonly used graphical interface
  • The automated multi-group approach to testing for equivalence

The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues.

Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended.

Reviews

"This … much anticipated and timely updating of the widely read first edition … is characterized by the same strengths … including the thorough and accessible presentation of a comprehensive range of topics based on real empirical data. Dr. Byrne's book is indispensable to any applied researcher using these techniques in practice." -Patrick Curran, University of North Carolina, USA

"This second edition [is] a must have for clearly understandable input and examples on applying structural equation modeling with AMOS. Barbara Byrne has most certainly written another best seller." - Lisa Harlow, University of Rhode Island, USA

"Dr. Byrne's first edition … was a model of clarity, written specifically for beginners. This new edition continues her tradition of excellence." -Roger E. Millsap, Arizona State University, USA

"An indispensable text [that] will prove to be an excellent resource for students, researchers, and academics." - Jan Bogg, University of Liverpool, UK

"Starting from the basics to advanced SEM tools, Byrne unveils and explains all the potentiality of SEM and how to use it. Both experts and newcomers to SEM who want to use AMOS will find this book extremely helpful." -Francesco Chirico, University of Lugano, Switzerland

Table of Contents

Part 1. Introduction. 1. Structural Equation Models: The Basics. 2. Using the AMOS Program. Part 2. Applications in Single-Group Analyses. 3. Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model). 4. Testing for the Factorial Validity of Scores from a Measuring Instrument (First-Order CFA Model). 5. Testing for the Factorial Validity of Scores from a Measuring Instrument (Second-order CFA Model). 6. Testing the Validity of a Causal Structure. Part 3. Applications in Multiple-Group Analyses. 7. Testing for the Factorial Equivalence of Scores from a Measuring Instrument (First-Order CFA Model). 8. Testing for the Equivalence of Latent Mean Structures (First-Order CFA Model). 9. Testing for the Equivalence of a Causal Structure. Part 4. Other Important Applications. 10. Testing for Construct Validity: The Multitrait-Multimethod Model. 11. Testing for Change Over Time: The Latent Growth Curve Model. Part 5. Other Important Topics. 12. Bootstrapping as an Aid to Nonnormal Data . 13. Addressing the Issue of Missing Data.

About the Series

Multivariate Applications Series

This series of books offers highly accessible and widely applicable methodological topics that have broad appeal and are written in easy-to understand language. Sponsored by the Society of Multivariate Experimental Psychology http://www.smep.org/, it welcomes methodological applications from a variety of disciplines, such as psychology, public health, sociology, education, and business. Authored or edited volumes should feature one of several approaches:

  1. the application of a variety of multivariate methods to a single, major area of research;
  2. a methodological procedure or framework that could be applied to a variety of research areas; or
  3. a variety of perspectives on a controversial topic of interest to applied researchers.

Interested persons should e-mail: Lisa L. Harlow at LHarlow@uri.edu.

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
EDU027000
EDUCATION / Statistics
PSY032000
PSYCHOLOGY / Statistics
SOC027000
SOCIAL SCIENCE / Statistics

Data sets

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