"synopsis" may belong to another edition of this title.
Contents
I. Fundamental Concepts
1. Introduction
2. Basic Statistical Concepts
3. SEM Family Tree
4. Data Preparation and Screening
II. Core SEM Techniques
5. Structural Models with Observed Variables and Path Analysis: I. Fundamentals, Recursive Models
6. Structural Models with Observed Variables and Path Analysis: II. Nonrecursive Models, Multiple Group Analysis
7. Measurement Models and Confirmatory Factor Analysis
8. Hybrid Models with Structural and Measurement Components
III. Avoiding Mistakes; Advanced Techniques; Software
9. How to Fool Yourself with SEM
10. Other Horizons: Overview of Advanced Techniques
11. Software for SEM: Amos, EQS, and LISREL
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