Handbook of Structural Equation Modeling

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. Visualizations 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 L. 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. Power Analysis within a Structural Equation Modeling Framework, Yi Feng & Gregory R. Hancock

10. Model Fit in Structural Equation Modeling, Stephen G. West, Wei Wu, Daniel McNeish, & Andrea Savord

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

II. 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

III. 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, Ke-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: Connections to Structural Equation Models and Other Discrete-Time Models, Sy-Miin Chow, Diane Losardo, Jonathan Park, & Peter C. M. Molenaar

33. Latent Trait-State Models, David A. Cole & Qimin Liu

34. Longitudinal Models for Assessing Dynamics in Dyadic Data, Meng Chen, Hairong Song, & Emilio Ferrer

35. Structural Equation Modeling in Genetics, Susanne Bruins, Sanja Franić, Conor V. Dolan, Denny Borsboom, & Dorret I. Boomsma

36. Structural Equation Modeling (SEM)-Based Meta-Analysis, Mike W.-L. Cheung

37. Nonlinear Structural Equation Models: Advanced Methods and Applications, Jeffrey R. Harring & Jinwang 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