Table of Contents – Handbook of SEM

Part 1. Foundations

1. Structural Equation Modeling: An Overview

Rick H. Hoyle

2. A Brief History of Structural Equation Modeling

Ross L. Matsueda

3. The Causal Foundations of Structural Equation Modeling

Judea Pearl

4. Visualization for Structural Equation Modeling

Jolynn Pek, Erin K. Davisson, & Rick H. Hoyle

5. Latent Variables in Structural Equation Modeling

Kenneth A. Bollen & Rick H. Hoyle

6. Simulation Methods in Structural Equation Modeling

Walter Leite, Deborah L. Bandalos, & Zuchao Shen

7. Assumptions in Structural Equation Modeling

Rex B. Kline

8. On the Estimation of Structural Equation Models with Latent Variables

Yunxiao Chen, Irini Moustaki, & Siliang Zhang

9. Structural Equation Modeling as a Framework for Power Analysis

Yi Feng & Gregory R. Hancock

10. Model Fit in Structural Equation Modeling

Stephen G. West, Wei Wu, Daniel McNeish, & Andrea Avord

11. Model Selection in Structural Equation Modeling

Kristopher J. Preacher & Haley E. Yaremych

12. Fitting Structural Equation Models with Missing Data

Craig K. Enders

13. Structural Equation Modeling with the Mplus and lavaan Programs

Christian Geiser

Part 2. Basic Models and Applications

14. Confirmatory Factor Analysis

Timothy A. Brown

15. Confirmatory Measurement Models for Dichotomous and Ordered Polytomous Indicators

Natalie A. Koziol

16. Item Parceling in SEM: A Researcher Degree-of-Freedom Ripe for Opportunistic Use

Sonya K. Sterba & Jason D. Rights

17. Using Factor Scores in Structural Equation Modeling

Ines Devlieger & Yves Rosseel

18. Bifactor Measurement Models

Steven P. Reise, Maxwell Mansolf, & Mark G. Haviland

19. Multitrait-Multimethod Models

Michael Eid, Tobias Koch, & Christian Geiser

20. Investigating Measurement Invariance Using Confirmatory Factor Analysis

Keith F. Widaman & Margarita Olivera-Aguilar

21. Flexible Structural Equation Modeling Approaches for Analyzing Means

Marilyn S. Thompson, Yixing Liu, & Samuel B. Green

22. Mediation/Indirect Effects in Structural Equation Modeling

Oscar Gonzalez, Matthew J. Valente, Jeewon Cheong, & David P. MacKinnon

23. Latent Interaction Effects

Augustin Kelava & Holger Brandt

24. Dynamic Moderation with Latent Interactions: General Cross-lagged Panel Models with Interaction Effects Over Time

Michael J. Zyphur & Ozlem Ozkok

25. Psychometric Scale Evaluation Using Structural Equation Modeling and Latent Variable Modeling

Tenko Raykov

26. Multilevel Structural Equation Modeling

Ronald H. Heck & Tingting Reid

Part 3. Specialized and Advanced Models and Applications

27. Exploratory Structural Equation Modeling

Alexandre J. S. Morin

28. Structural Equation Modeling with Small Samples and Many Variables

Katerina M. Marcoulides, Kei-Hai Yuan, & Lifang Deng

29. Mixture Models

Douglas Steinley

30. Latent Curve Modeling of Longitudinal Growth Data

Kevin J. Grimm & John J. McArdle

31. Dynamic Structural Equation Modeling as a Combination of Time Series Modeling, Multilevel Modeling, and Structural Equation Modeling

Ellen L. Hamaker, Tihomir Asparouhov, & Bengt Muthén

32. Continuous-Time Dynamic Models

Sy-Miin Chow, Diane Losardo, Jonathan Park, & Peter C. M. Molenaar

33. Latent Trait-State Models

David Cole & Qimin Liu

34. Longitudinal Models for Assessing Dynamics in Dyadic Data

Meng Chen, Hairong Song, & Emilio Ferrer

35. Structural Equation Modeling for Genetic Data

Susanne Bruins, Sanja Franić, Conor V. Dolan, Denny Borsboom, & Dorret I. Boomsma

36. Structural Equation Modeling (SEM)-Based Meta-Analysis

Mike Cheung

37. Nonlinear Structural Equation Models: Advanced Methods and Applications

Jeff Harring & Zinwang Zou

38. Foundations and Extensions of Bayesian Structural Equation Modeling

Sarah Depaoli, David Kaplan, & Sonja D. Winter

39. Machine-Learning Approaches to Structural Equation Modeling

Andreas M. Brandmaier & Ross C. Jacobucci