Structural Equation Modeling: Concepts, Issues, and Applications / Edition 1

by Rick H. Hoyle

Overview

This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.

Product Details

ISBN-13:	9780803953185
Publisher:	SAGE Publications
Publication date:	02/28/1995
Edition description:	New Edition
Pages:	312
Product dimensions:	5.50(w) x 8.50(h) x 0.70(d)

Table of Contents

Foreword - Kenneth A Bollen
Preface - Rick H Hoyle
The Structural Equation Modeling Approach - Rick H Hoyle
Basic Concepts and Fundamental Issues
Model Specification - Robert C Mac Callum
Procedures, Strategies, and Related Issues
Estimates and Tests in Structural Equation Modeling - Chih-Ping Chou and Peter M Bentler
Structural Equation Models with Nonnormal Variables - Stephen G West, John F Finch and Patrick J Curran
Problems and Remedies
Evaluating Model Fit - Li-tze Hu and Peter M Bentler
Statistical Power in Structural Equation Modeling - David Kaplan
Objectivity and Reasoning in Science and Structural Equation Modeling - Stanley A Mulaik and Lawrence R James
One Application of Structural Equation Modeling from Two Perspectives - Barbara M Byrne
Exploring the EQS and LISREL Strategies
Writing about Structural Equation Models - Rick H Hoyle and Abigail T Panter
Latent Variable Models for Multitrait-Multimethod Data - Herbert W Marsh and David Grayson
Sex-Race Differences in Social Support and Depression in Older Low-Income Adults - Jane A Scott-Lennox and Richard D Lennox
Modeling the Relation of Personality Variables to Symptom Complaints - Jay G Hull, Judith C Tedlie and Daniel A Lehn
The Unique Role of Negative Affectivity
Predictors of Change in Antisocial Behavior during Elementary School for Boys - Mike Stoolmiller, Terry E Duncan and Gerald Patterson

Editorial Reviews

"SEMCIA by and large accomplishes its goal to be a convenient, contemporary, and accurate source of knowledge in SEM."

Scott L. Hershberger

For graduate students and seasoned researchers in the social and behavioral sciences, explains the concepts and methodologies of applying structural equation modeling to research problems. Among the topics are estimates and tests, evaluating the model fit, non-normal variables, and objectivity and reasoning. The examples of applications include the relation of personality variables to symptom complaint, and predictors of change in antisocial behavior during elementary school for boys. Assumes a prior knowledge of traditional inferential statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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