Basic Principles of Structural Equation Modeling

Mueller Ralph O.

ISBN 10: 0387945164 / ISBN 13: 9780387945163

Published by Springer, 1995

About this Item

Print on Demand pp. 268 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Seller Inventory # 7564654

Bibliographic Details

• Title: Basic Principles of Structural Equation Modeling
• Publisher: Springer
• Publication Date: 1995
• Language: English
• ISBN 10: 0387945164
• ISBN 13: 9780387945163
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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.

Review

"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)