Introduction to Structural Equation Models

Shawn Bauldry is a professor in the Department of Sociology at Purdue University. He is co-author, with J. Micah Roos, of Confirmatory Factor Analysis and has published methodological research in sociological and psychological methodology journals, including top-tier journals such as Sociological Methodology, Psychological Methods, and Structural Equation Modeling. His methodological research focuses on the development of structural equation models, particularly measurement models and models for longitudinal data. His substantive research focuses on demographic analyses of aging and health.

About the Authors Preface Series Editor's Introduction Acknowledgments Chapter 1: Introduction Latent and Observed Variables Multiple Endogenous Variables General Structural Equation Model Statistical Software and Code Outline of Book Further Reading Chapter 2: Model Specification Measurement Model Structural Model *SEMs and DAGs Conclusion Chapter 3: Identification and Estimation Model Identification Estimators Conclusion Chapter 4: Model Evaluation and Modification Overall Model Fit Localized Model Fit Comparative Model Fit Model Modification Conclusion Chapter 5: Mediation Analysis Classical Approach *Counterfactual Approach Sensitivity Analyses Conclusion Chapter 6: Categorical and Limited Endogenous Variables Binary and Ordinal Variables Estimators Model Fit and Parameter Interpretation Generalized Linear Model Framework Conclusion Chapter 7: FinalWords Extensions Pitfalls Appendix: General SEM in Matrix Notation References Index

Shawn Bauldry's Introduction to Structural Equation Models is a clear, comprehensible, and thoughtful guide to SEMs. With relatable examples, balanced coverage of theory and application, and attention to contemporary issues like mediation and categorical outcomes, this book will be invaluable for graduate students and instructors alike. -- John Hoffman This book is a game changer. Our program evaluation students need to understand SEM to excel, and this book will transform them from timid to eager. The quality of their projects will improve significantly because they will go beyond memorizing jargon to truly comprehending the purpose and process of SEM in applied settings. -- Rick Sperling