Principles and Practice of Structural Equation Modeling

✍ Scribed by Rex B. Kline

• Publisher: The Guilford Press
• Year: 2010
• Tongue: English
• Leaves: 445
• Series: Methodology In The Social Sciences
• Edition: 3rd
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Cover
......Page 1
Half-title
......Page 2
Methodology in the social sciences
......Page 3
Title
......Page 4
Copyright
......Page 5
Series editor's note
......Page 8
Preface and acknowledgments
......Page 10
Contents......Page 14
I. Concepts and tools
......Page 18
1. Introduction
......Page 20
2. Fundamental concepts
......Page 36
3. Data preparation
......Page 63
4. Computer tools
......Page 92
II. Core techniques
......Page 106
5. Specification
......Page 108
6. Identification
......Page 141
Appendix 6.A......Page 168
7. Estimation
......Page 171
Appendix 7.A......Page 202
Appendix 7.B......Page 203
Appendix 7.C......Page 204
8. Hypothesis testing
......Page 206
9. Measurement models and confirmatory factor analysis
......Page 247
Appendix 9.A......Page 280
Appendix 9.B......Page 281
10. Structural regression models
......Page 282
Appendix 10.A......Page 312
III. Advanced techniques, avoiding mistakes
......Page 314
11. Mean structures and latent growth models
......Page 316
12. Interaction effects and multilevel SEM
......Page 344
13. How to fool yourself with SEM
......Page 373
Suggested Answers to Exercises......Page 384
References......Page 404
Author Index......Page 422
Subject Index......Page 428
About the Author......Page 444