Cited by 4,016Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceStatistical Methods and Applications

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Second Edition

Byrne, Barbara M.·2013·Routledge eBooks

Abstract

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 mis…

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  • CB-SEM allows for rigorous evaluation of factor structure, construct validity, and structural relationships based on covariance matrices, aligning with the reflective nature of the constructs.

    “Moreover, CB-SEM allows for rigorous evaluation of factor structure, construct validity, and structural relationships based on covariance matrices, which aligns with the reflective nature of the constructs in this study (Byrne, 2013).”

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Authors
Byrne, B. M.
Corresponding author
Byrne, Barbara M.
Venue
Routledge eBooks
Publisher
Routledge
Published
2013-09-13
OpenAlex
W2607657495
Cited by
4,016
References
0
Citations by year
2026: 59 · 2025: 73 · 2024: 44 · 2023: 52 · 2022: 36 · 2021: 222 · 2020: 220 · 2019: 204 · 2018: 247 · 2017: 276 · 2016: 314 · 2015: 372 · 2014: 421 · 2013: 358 · 2012: 339
FWCI
131.13
Type
book
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
structural equation modeling, multitrait-multimethod model, latent growth curve models, second-order model, categorical data, multigroup analysis, measurement invariance, non-normal data, missing data, graphical user interface

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