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Basic Principles of Structural Equation Modeling : An Introduction to LISREL and EQS - Ralph O. Mueller

Basic Principles of Structural Equation Modeling

An Introduction to LISREL and EQS

Hardcover Published: 4th June 1999
ISBN: 9780387945163
Number Of Pages: 232

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During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail­ ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre­ sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo­ retical and empirical aspects of behavioral research.

"This book fills a very useful niche in texts for structural equation modelling...the book is very well written." (Peter Bentler, University of California, Los Angeles)

Frequently Used Symbols and Notation
List of Figures and Tables
Linear Regression and Classical Path Analysisp. 1
Confirmatory Factor Analysisp. 62
General Structural Equation Modelingp. 129
Appendix A: The Simplis Command Languagep. 179
Appendix B: Location, Dispersion, and Associationp. 197
Appendix C: Matrix Algebrap. 203
Appendix D: Descriptive Statistics for the SES Analysisp. 209
Appendix E: Descriptive Statistics for the HBI Analysisp. 213
Referencesp. 216
Indexp. 223
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780387945163
ISBN-10: 0387945164
Series: Springer Series in Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 232
Published: 4th June 1999
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 24.77 x 16.51  x 1.91
Weight (kg): 0.57