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Structural Equation Modeling With Eqs: Basic Concepts, Applications, And Programming
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Structural Equation Modeling With Eqs: Basic Concepts, Applications, And Programming

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Byrne (emeritus, psychology, U. of Ottawa, Canada) provides a nonmathematical introduction to structural equation modeling--"a statistical methodology that takes a confirmatory (i.e., hypothesis testing) approach to the analysis of a structural theory bearing on some phenomenon"--using the software EQS 6.1. After introducing the basics of the methodology and the software, she presents 11 applications. For each application she proceeds through a statement of the hypothesis, schematic representation of the model, explanation of input and output files, illustrated use and function of the program, and the data file on which the application is based. The included CD-ROM contains the application data but not the software itself. Annotation c2006 Book News, Inc., Portland, OR (booknews.com)

作者簡介

Barbara M. Byrne is Professor Emeritus in the School of Psychology, University of Ottawa, Canada. An internationally recognized expert in the area of SEM, Dr. Byrne’s research focuses on construct validity issues as they relate to theoretical constructs and measuring instruments. She is the author of 7 popular introductory books on SEM and has conducted over 100 SEM workshops at conferences, universities, and test publishers around the globe. In addition to the publication of over 95 book chapters and scholarly journal articles, most of which have addressed SEM application issues, she is the author of an important reference book, Measuring Self-concept Across the Lifespan: Issues and Instrumentation. Dr. Byrne is the recipient of three Distinguished Teaching Awards presented by the Canadian Psychological Association, the American Psychological Association (APA), and the APA, Division 5 (Jacob Cohen Award). She is a Fellow in two APA Divisions, is a Foundation member on the International Board of the SELF Research Centre, University of Western Sydney, Australia, and is an elected member of the Society of Multivariate Experimental Psychology.

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