Principles and Practice of Structural Equation Modeling, Third Edition ( Methodology In The Social Sciences )

Publication series :Methodology In The Social Sciences

Author: Kline> Rex B.  

Publisher: Guilford Publications Inc‎

Publication year: 2010

E-ISBN: 9781606238790

P-ISBN(Paperback): 9781606238776

Subject: O212.4 Multivariate Analyses

Keyword: 心理学,护理学,临床医学,统计学,教育学,教育,经济计划与管理

Language: ENG

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Description

This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers downloadable syntax, data, and output files for each detailed example for EQS, LISREL, and Mplus, allowing readers to view the results of the same analysis generated by three different computer tools.

 
New to This Edition
*Thoroughly revised and restructured to follow the phases of most SEM analyses.
*Syntax, data, and output files for all detailed research examples are now provided online.
*Chapter on computer tools.
*Exercises with answers, which support self-study.
*Topic boxes on specialized issues, such as dealing with problems in the analysis; the assessment of construct measurement reliability; and more.
*Updated coverage of a more rigorous approach to hypothesis and model testing; the evaluation of measurement invariance; and more.
*”Troublesome” examples have been added to provide a context for discussing how to handle various problems that can crop up in SEM analyses.

Chapter

Chapter 2 Fundamental Concepts

Chapter 3 Data Preparation

Chapter 4 Computer Tools

Chapter 5 Specification

Chapter 6 Identification

Appendix 6.A Evaluation of the Rank Condition

Chapter 7 Estimation

Appendix 7.A Start Value Suggestions for Structural Models

Appendix 7.B Effect Decomposition in Nonrecursive Models and the Equilibrium Assumption

Appendix 7.C Corrected Proportions of Explained Variance for Nonrecursive Models

Chapter 8 Hypothesis Testing

Chapter 9 Measurement Models and Confirmatory Factor Analysis

Appendix 9.A Start Value Suggestions for Measurement Models

Appendix 9.B Constraint Interaction in Measurement Models

Chapter 10 Structural Regression Models

Appendix 10.A Constraint Interaction in SR Models

Chapter 11 Mean Structures and Latent Growth Models

Chapter 12 Interaction Effects and Multilevel SEM

Chapter 13 How to Fool Yourself with SEM

Suggested Answers to Exercises

References

Author Index

Subject Index

About the Author

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