Structural Equation Modeling: Concepts, Issues, and Applications

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Rick H. Hoyle
SAGE, Feb 28, 1995 - Reference - 289 pages
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This book includes chapters on major aspects of the structural equation modeling approach to research design and data analysis. It 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. Contents: - Basic Concepts - Model Specification - Estimates and Tests - Nonnormal Variables - Evaluating Model Fit - Statistical Power - Objectivity and Reasoning - Exploring the EQS and LISREL Strategies - Writing about Structural Equation Models - Latent Variable Models - Sex-Race Differences in Social Support and Depression in Older Low-Income Adults - Modeling the Relation of Personality Variables to Symptom Complaints - Predictors of Change in Antisocial Behavior During Elementary School for Boys.
  

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Contents

The Structural Equation Modeling Approach
1
Procedures Strategies
16
Estimates and Tests in Structural Equation Modeling
37
Summary and Recommendations
54
Evaluating Model Fit
76
Reevaluation of Fit Indexes as Alternative Measures
89
Statistical Power in Structural Equation Modeling
100
PowerBased Model Evaluation
107
Summary and Implications
196
SexRace Differences in Social Support and Depression
199
Method
205
The GroupSensitive Model
211
Modeling the Relation of Personality Variables to Symptom
217
Method
223
Predictors of Change in Antisocial Behavior During
236
Results
243

Conclusion
114
Objectivity and Reasoning in Science and Structural
118
One Application of Structural Equation Modeling From
138
Writing About Structural Equation Models
158
Latent Variable Models of MultitraitMultimethod Data
177
Direct Product Models
187
Discussion
249
References
254
Author Index
272
Subject Index
278
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About the author (1995)

Rick Hoyle received Ph.D in Psychology from the University of North Carolina at Chapel Hill and is currently a Research Professor at Duke University for the department of Psychology. Rick's areas of research interest include the foundations of self-esteem, the role of personality in problem behavior, and strategic applications of structural equation modeling, and related techniques for the purpose of modeling complex processes that unfold over time.

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