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

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

<P>This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) <EM>and</EM> the AMOS program (Versions 17 & 18). The author reviews SEM applications based on <EM>actual </EM>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: </P> <UL> <P> <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> <P></P></UL> <P></P> <P><STRONG>With over 50% new material, highlights of the new edition include:</STRONG></P> <UL> <P> <LI>All new screen shots featuring Version 17 of the AMOS program</LI> <LI>All data files now available at <U>www.routledge.com/9780805863734 </U></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> <P></P></UL> <P></P> <P>The book opens with an introduction to the fundamental concepts of SEM <EM>and</EM> 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. </P> <P></P> <P>Intended for researchers, practitioners, and students who use SEM <EM>and </EM>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. </P>