Handbook of Structural Equation Modeling

Herausgeber: Bandalos, Deborah L.; Boker, Steven; Hoyle, Rick H.; Bollen, Kenneth A; Biesanz, Jeremy C

• Broschiertes Buch

Produktbeschreibung

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume offers broad and deep coverage of both the mechanics of SEM and specific SEM strategies and applications.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Guilford Publications
• Seitenzahl: 740
• Erscheinungstermin: 18. November 2014
• Englisch
• Abmessung: 236mm x 187mm x 35mm
• Gewicht: 1458g
• ISBN-13: 9781462516797
• ISBN-10: 1462516793
• Artikelnr.: 40923506

Inhaltsangabe

I. Background
1. Introduction and Overview, Rick H. Hoyle
2. Key Advances in the History of Structural Equation Modeling, Ross L.
Matsueda
3. Graphical Representation of Structural Equation Models Using Path
Diagrams, Moon-ho Ringo Ho, Stephen Stark, and Olexander Chernyshenko
4. Latent Variables in Structural Equation Modeling, Kenneth A. Bollen and
Rick H. Hoyle
5. The Causal Foundations of Structural Equation Modeling, Judea Pearl
6. Simulation Methods in Structural Equation Modeling, Deborah L. Bandalos
and Phillip Gagné
II. Fundamentals
7. Assumptions in Structural Equation Modeling, Rex B. Kline
8. Model Specification in Structural Equation Modeling, Rick H. Hoyle
9. Identification: A Nontechnical Discussion of a Technical Issue, David A.
Kenny and Stephanie Milan
10. Estimation in Structural Equation Modeling, Pui-Wa Lei and Qiong Wu
11. Power Analysis for Tests of Structural Equation Models, Taehun Lee, Li
Cai, and Robert C. MacCallum
12. Categorical Data in the Structural Equation Modeling Framework, Michael
C. Edwards, R. J. Wirth, Carrie R. Houts, and Nuo Xi
13. Model Fit and Model Selection in Structural Equation Modeling, Stephen
G. West, Aaron B. Taylor, and Wei Wu
14. Model Modification in Structural Equation Modeling, Chih-Ping Chou and
Jimi Huh
15. Equivalent Models: Concepts, Problems, Alternatives, Larry J. Williams
III. Implementation
16. Preparing Data for Structural Equation Modeling: Doing Your Homework,
Patrick S. Malone and Jill B. Lubansky
17. Structural Equation Modeling with Missing Data, John W. Graham and
Donna L. Coffman
18. Bootstrapping Standard Errors and DatäModel Fit Statistics in
Structural Equation Modeling, Gregory R. Hancock and Min Liu
19. Choosing Structural Equation Modeling Computer Software: Snapshots of
LISREL, EQS, Amos, and Mplus, Barbara M. Byrne
20. Structural Equation Modeling in R with the sem and OpenMx Packages,
John Fox, Jarrett E. Byrnes, Steven Boker, and Michael C. Neale
21. The Structural Equation Modeling Research Report, Anne Boomsma, Rick H.
Hoyle, and A. T. Panter
IV. Basic Applications
22. Confirmatory Factor Analysis, Timothy A. Brown and Michael T. Moore
23. Investigating Measurement Invariance Using Confirmatory Factor
Analysis, Roger E. Millsap and Margarita Olivera-Aguilar
24. A Flexible Structural Equation Modeling Approach for Analyzing Means,
Samuel B. Green and Marilyn S. Thompson
25. Mediation/Indirect Effects in Structural Equation Modeling, JeeWon
Cheong and David P. MacKinnon
26. Structural Equation Models of Latent Interaction, Herbert W. Marsh,
Zhonglin Wen, Benjamin Nagengast, and Kit-Tai Hau
27. Autoregressive Longitudinal Models, Jeremy C. Biesanz
28. Scale Construction and Development Using Structural Equation Modeling,
Tenko Raykov
V. Advanced Applications
29. Measurement Models for Ordered-Categorical Indicators, James A. Bovaird
and Natalie A. Koziol
30. Multilevel Structural Equation Modeling, Sophia Rabe-Hesketh, Anders
Skrondal, and Xiaohui Zheng
31. An Overview of Growth Mixture Modeling: A Simple Nonlinear Application
in OpenMx, Mariya P. Shiyko, Nilam Ram, and Kevin J. Grimm
32. Latent Curve Modeling of Longitudinal Growth Data, John J. McArdle
33. Dynamic Factor Models for Longitudinally Intensive Data: Description
and Estimation via Parallel Factor Models of Cholesky Decomposition,
Phillip Wood
34. Latent Trait¿State Models, David A. Cole
35. Longitudinal Structural Models for Assessing Dynamics in Dyadic
Interactions, Emilio Ferrer and Hairong Song
36. Structural Equation Modeling in Genetics, Sanja Franic, Conor V. Dolan,
Denny Borsboom, and Dorret I. Boomsma
37. Structural Equation Models of Imaging Data, Anthony R. McIntosh and
Andrea B. Protzner
38. Bayesian Structural Equation Modeling, David Kaplan and Sarah Depaoli
39. Spatial Structural Equation Modeling, Melanie M. Wall
40. Automated Structural Equation Modeling Strategies, George A.
Marcoulides and Marsha Ing