Structural Equation Modeling
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Structural Equation Modeling

Concepts, Issues, and Applications


© 1995 | 312 pages | SAGE Publications, Inc

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.

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

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

Scott L. Hershberger
University of Kansas

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ISBN: 9780803953185
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