Structural Equation Modeling: Concepts, Issues, and Applications

by Rick H. Hoyle (Editor)

Overview

Practical and up-to-date, Structural Equation Modeling includes chapters on major aspects of the structural equation modeling approach to research design and data analysis. Written by internationally recognized leaders in structural equation modeling, this book targets graduate students and seasoned researchers in the social and behavioral sciences who wish to understand the basic concepts and issues associated with the structural equation modeling approach and applications to research problems. Though technically sound, the chapters are primarily nontechnical in content and stylemaking the volume an excellent introduction to the structural equation modeling approach for readers studied in traditional inferential statistics. Early chapters are devoted to fundamental concepts such as estimation, fit, assumptions, power, and inference. Later chapters address such practical issues as the use of computer programs for applying the approach to research questions in the social and behavioral sciences.

Product Details

ISBN-13:	9781506319537
Publisher:	SAGE Publications
Publication date:	02/28/1995
Sold by:	Barnes & Noble
Format:	eBook
Pages:	312
File size:	3 MB

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 MacCallum
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

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)

Booknews

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

Scott L. Hershberger