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Beginner's Guide to Structural: Equation Modeling

AUTHOR: Randall E. Schumacker
ISBN: 0805840184

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         Editorial Review

Beginner's Guide to Structural: Equation Modeling
- Book Review,
by Randall E. Schumacker

From Book News, Inc.
Enhanced because the authors have learned from using the text in their classrooms at the U. of North Texas (Schumacker) and the U. of Alabama (Lomax), this second edition text continues with the aim of teaching readers to conduct SEM model analyses and to understand and critique published SEM research. Incorporating both conceptual and application orientations throughout, it provides a basic introduction, first reviewing the concepts of correlation and covariance and then disucssing multiple regression, path, and factor analyses. The authors present a basic structural equation model and then describe several different types of models. An introduction to matrix notation has been added. The included CD-ROM contains the Amos, EQS, and LISREL programs and data sets presented in the text.Copyright © 2004 Book News, Inc., Portland, OR


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         Book Review

Beginner's Guide to Structural: Equation Modeling
- Book Reviews,
by Randall E. Schumacker

Beginner's Guide to Structural: Equation Modeling

FROM THE PUBLISHER

The new edition's expanded use of applications makes this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged for the more advanced SEM models.

SYNOPSIS

Enhanced because the authors have learned from using the text in their classrooms at the U. of North Texas (Schumacker) and the U. of Alabama (Lomax), this second edition text continues with the aim of teaching readers to conduct SEM model analyses and to understand and critique published SEM research. Incorporating both conceptual and application orientations throughout, it provides a basic introduction, first reviewing the concepts of correlation and covariance and then disucssing multiple regression, path, and factor analyses. The authors present a basic structural equation model and then describe several different types of models. An introduction to matrix notation has been added. The included CD-ROM contains the Amos, EQS, and LISREL programs and data sets presented in the text. Annotation ©2004 Book News, Inc., Portland, OR


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