Structural Equation Modeling With AMOS

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

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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 onã 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 andã posthoc models tested AMOS input and output with accompanying interpretation and explanation The function ofã the AMOS toolbar icons and their relatedã 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 programã All data files now available at Application of a multitrait-mulitimethod model, latent growth curve model, andã second-order model based on categorical data All applications based on theã most commonly used graphical interface Theã automatedã multi-group approach to testing forã equivalence The book opens with an introduction toã the fundamental concepts of SEM and the basicsã of the AMOS program. The next 3 sections present applications that focus onã single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with aã discussionã aboutã non-normalã and missing (incomplete) data andã two applications capable of addressing these issues. Intended for researchers, practitioners,ã and students who use SEM and AMOS in their work, this bookã 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 more

Product details

  • Electronic book text | 416 pages
  • Taylor & Francis Ltd
  • Routledge Academic
  • London, United Kingdom
  • Revised
  • 2nd Revised edition
  • 0415805996
  • 9780415805995

Review quote

"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, Switzerlandshow more

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 more