Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)

This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses. Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by: <ul>
<li>a statement of the hypothesis being tested;</li> <li>a schematic representation of the model under study;</li> <li>the use and function of a wide variety of icons and pull-down menus;</li> <li>a full explanation of related AMOS Graphic input models and output files;</li> <li>a model input file based on AMOS BASIC; and</li> <li>the published reference from which each application was drawn.</li>
</ul>

Health, Fitness & Dieting

Byrne, Barbara M.

Psychology & Counseling

Psychology Press

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series)

This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 &amp; 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: <ul>
<li>an explanation of the issues addressed </li> <li>an illustration of the hypothesized and posthoc models tested </li> <li>AMOS input and output with accompanying interpretation and explanation</li> <li>The function of the AMOS toolbar icons and their related pull-down menus</li> <li>The data and published reference upon which the model was based.</li> </ul> With over 50% new material, highlights of the new edition include: <ul>
<li>All new screen shots featuring Version 17 of the AMOS program</li> <li>All data files now available at www.routledge.com/9780805863734 
</li> <li>Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data</li> <li>All applications based on the most commonly used graphical interface</li> <li>The automated multi-group approach to testing for equivalence</li> </ul> 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.

Science & Math

Mathematics

Routledge

Politics & Social Sciences

Social Sciences

Structural Equation Modeling With AMOS (Multivariate Applications Series)

This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested. Thoroughly updated throughout, the new edition features: <ul>
<li>All new screen shots featuring Amos Version 23. </li> <li>Descriptions and illustrations of Amos’ new Tables View format which enables the specification of a structural model in spreadsheet form. </li> <li>Key concepts and/or techniques that introduce each chapter. </li> <li>Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data. </li> <li>Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results. </li> <li>All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos.</li> <li>More explanation of key procedures and analyses that address questions posed by readers </li> <li>All application data files are available at www.routledge.com/9781138797031.</li> </ul> The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5. An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.

Reference

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