Principles and practice of structural equation modeling
著者
書誌事項
Principles and practice of structural equation modeling
（Methodology in the social sciences）
Guilford Press, c2005
2nd ed
- : pbk
- タイトル別名
-
Structural equation modeling
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注記
Includes bibliographical references (p. 338-351) and indexes
内容説明・目次
内容説明
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.
目次
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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