Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications), 2nd edition

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.psypress.com/sem-with-amos 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. 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. Contents......Page 8 Preface......Page 16 Acknowledgments......Page 20 section one: Introduction......Page 22 chapter one. Structural equation models: The basics......Page 24 chapter two. Using the AMOS program......Page 38 section two. Applications in single-group analyses......Page 72 chapter three. Testing for the factorial validity of a theoretical construct: (First-order CFA model)......Page 74 chapter four. Testing for the factorial validity of scores from a measuring instrument: (First-order CFA model)......Page 118 chapter five. Testing for the factorial validity of scores from a measuring instrument: (Second-order CFA model)......Page 150 chapter six. Testing for the validity of a causal structure......Page 182 section three: Applications in multiple-group analyses......Page 216 chapter seven. Testing for the factorial equivalence of scores from a measuring instrument: (First-order CFA model)......Page 218 chapter eight. Testing for the eqivalence of latent mean structures: (First-order CFA model)......Page 252 chapter nine. Testing for the equivalence of a causal structure......Page 278 section four: Other important applications......Page 294 chapter ten. Testing for construct validity: The multitrait-multimethod model......Page 296 chapter eleven. Testing for change over time: The latent growth curve model......Page 324 section five: Other important topics......Page 348 chapter twelve. Bootstrapping as an aid to nonnormal data......Page 350 chapter thirteen. Addressing the issue of missing data......Page 374 References......Page 388 Author Index......Page 406 Subject Index......Page 412 Section I: Introduction. Structural equation models: the basics ; Using the AMOS program Section II: Applications in single-group analyses. Testing for the factorial validity of a theoretical construct (First-order CFA model) ; Testing for the factorial validity of scores from a measuring instrument (First-order CFA model) ; Testing for the factorial validity of scores from a measuring instrument (Second-order CFA model) ; Testing for the validity of a causal structure Section III: Applications in multiple-group analyses. Testing for the factorial equivalence of scores from a measuring instrument (First-order CFA model) ; Testing for the equivalence latent mean structures (First-order CFA model) ; Testing for the equivalence of a causal structure Section IV: Other important applications. Testing for constant validity: the multitrait-multimethod model ; Testing for the change over time: the latent growth curve model Section V: Other important topics. Bootstrapping as an aid to nonnormal data ; Addressing the issue of missing data. This best-selling text provides a practical guide to the basic concepts of structural equation modelling (SEM) and AMOS (Versions 17 & 18) for the novice user