Structural Equation Modeling With EQS

Basic Concepts, Applications, and Programming, Second Edition

By Barbara M. Byrne, Barbara M. Byrne

© 2006 – Routledge

454 pages

Purchasing Options:
Paperback: 9780805841268
pub: 2006-02-17
US Dollars$59.95
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Hardback: 9780805841251
pub: 2006-02-17
US Dollars$150.00
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e–Inspection Copy

About the Book

Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models.

Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling.

The new edition features:

  • many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model;
  • a CD enclosed with the book that includes all application data;
  • vignettes illustrating procedural and/or data management tasks; and
  • description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.

Reviews

"Newcomers to SEM who want to use EQS…would benefit greatly from this book, either for self-teaching or as a supplemental text in a course."

Journal of Marketing Research

Praise for First Edition:

"It has strong value as a tool for teachers and practitioners."

Structural Equation Modeling

"Byrne's most recent book on SEM, a second edition to her book using the EQS program, continues to live up to the high expectations fostered by the previous books in being simple, nontechnical, and base on real-world applications….recommend this as the first resource for those using EQS in their modeling endeavors."

PsycCRITIQUES

Table of Contents

Contents: Part I: Introduction. Structural Equation Models: The Basics. Using the EQS Program. Part II: Single-Group Analyses. Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model). Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model). Application 3: Testing for the Factorial Validity of Scores from a Measuring Instrument (Second-Order CFA Model). Application 4: Testing for the Validity of a Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing for the Factorial Invariance of a Measuring Instrument. Application 6: Testing for the Invariance of a Causal Structure. Application 7: Testing for Latent Mean Differences (First-Order CFA Model). Application 8: Testing for Latent Mean Differences (Second-Order CFA Model). Part IV: Other Important Topics. Application 9: Testing for Construct Validity: The Multitrait-Multimethod Model. Application 10: Testing for Change Over Time: The Latent Growth Curve Model. Application 11: Testing for Within- and Between-Level Variance: The Multilevel Model.

About the Authors

Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne’s research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of 7 popular introductory books on SEM and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.

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
MED090000
MEDICAL / Biostatistics
PSY032000
PSYCHOLOGY / Statistics