The book was written when the author
taught structural equation modeling to Ph.D. Candidates in University
of California at Irvine from 2003 to 2005. The RM4Es
and ResearchMap are used in this book.
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Table of Content
1)
Introduction
2)
Equations and Diagrams – the model representation
of SEM
2.1 – Path Analysis
2.2 – Recursive vs.
non-recursive
2.3 – Measurement Model
2.4 – Hybrid Model
3)
Estimation Methods – the link between model and data
for SEM
3.1 – Identification
3.2 – Estimation Options
3.3 – ML
3.4 – Starting Values
4)
Explanation – meaning of coefficients
of SEM models
4.1 – Path Model Coefficients
4.2 – Measurement Model
Coefficients
4.3 – Direct, Indirect and
Total Effects
5)
Evaluation
of models and the Error terms – fit indices
5.1 – the Residuals
5.2 – Main Fit Indices
5.3 – Equivalent Models
6)
Searching for a Best Model – a step by step modeling
approach
6.1 – The Search Process
6.2 – Step 1
6.3 – Step 2
6.4 – Step 3
6.5 – Step 4
6.6 – Step 5
6.7 – Step 6
6.8 – Step 7
7)
Some Advanced Issues
7.1 – Non-recurvisenss
7.2 – Model Specification
7.3 – SEM for Causal Analysis
8)
Issues Related to Using Software
8.1 – LISREL
8.2 – M-plus
8.3 – RM 2
9)
Conclusion
Appendix
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Building