Principles and practice of structural equation modeling
Author(s)
Bibliographic Information
Principles and practice of structural equation modeling
（Methodology in the social sciences）
Guilford Press, c2005
2nd ed
- : pbk
- Other Title
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Structural equation modeling
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Note
Includes bibliographical references (p. 338-351) and indexes
Description and Table of Contents
Description
This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM.
Table of Contents
Part 1: Fundamental Concepts. Introduction. Basic Statistical Concepts: I. Correlation and Regression. Basic Statistical Concepts: II. Data Preparation and Screening. Core SEM Techniques and Software. Part 2: Core SEM Techniques. Introduction to Path Analysis. Details of Path Analysis. Measurement Models and Confirmatory Factor Analysis. Models with Structural and Measurement Components. Part 3: Advanced Techniques, Avoiding Mistakes. Nonrecursive Structural Models. Mean Structures and Latent Growth Models. Multiple-Sample SEM. How to Fool Yourself with SEM. Other Horizons.
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