The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait–multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition.
New to This Edition
*Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more.
*Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results.
*60% new material reflects a decade's worth of developments in the mechanics and application of SEM.
*Many new contributors and fully rewritten chapters.
Author(s): Rick H. Hoyle
Edition: 2
Publisher: The Guilford Press
Year: 2023
Language: English
Pages: 801
City: New York
Cover
Half Title Page
Title Page
Copyright
Preface
Acknowledgments
Contents
Part I. Foundations
1. Structural Equation Modeling: An Overview
2. A Brief History of Structural Equation Modeling
3. The Causal Foundations of Structural Equation Modeling
4. Visualizations for Structural Equation Modeling
5. Latent Variables in Structural Equation Modeling
6. Simulation Methods in Structural Equation Modeling
7. Assumptions in Structural Equation Modeling
8. On the Estimation of Structural Equation Models with Latent Variables
9. Power Analysis within a Structural Equation Modeling Framework
10. Model Fit in Structural Equation Modeling
11. Model Selection in Structural Equation Modeling
12. Fitting Structural Equation Models with Missing Data
13. Structural Equation Modeling with the Mplus and lavaan Programs
Part II. Basic Models and Applications
14. Confirmatory Factor Analysis
15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators
16. Item Parceling in SEM: A Researcher Degree‑of‑Freedom Ripe for Opportunistic Use
17. Using Factor Scores in Structural Equation Modeling
18. Bifactor Measurement Models
19. Multitrait–Multimethod Models
20. Investigating Measurement Invariance Using Confirmatory Factor Analysis
21. Flexible Structural Equation Modeling Approaches for Analyzing Means
22. Mediation/Indirect Effects in Structural Equation Modeling
23. Latent Interaction Effects
24. Dynamic Moderation with Latent Interactions: General Cross-Lagged Panel Models with Interaction Effects over Time
25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling
26. Multilevel Structural Equation Modeling
Part III. Specialized and Advanced Models and Applications
27. Exploratory Structural Equation Modeling
28. Structural Equation Modeling with Small Samples and Many Variables
29. Mixture Models
30. Latent Curve Modeling of Longitudinal Growth Data
31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling, Multilevel Modeling, and Structural Equation Modeling
32. Continuous‑Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models
33. Latent Trait–State Models
34. Longitudinal Models for Assessing Dynamics in Dyadic Data
35. Structural Equation Modeling in Genetics
36. Structural Equation Modeling–Based Meta‑Analysis
37. Nonlinear Structural Equation Models: Advanced Methods and Applications
38. Foundations and Extensions of Bayesian Structural Equation Modeling
39. Machine Learning Approaches to Structural Equation Modeling
Author Index
Subject Index
About the Editor
Contributors
