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.
The bestselling text that has been so popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) has now been carefully revised to be even more useful. New to this edition are:
* The first SEM text webpage, offering free access to data and program syntax files for many of the research examples in the book, electronic overheads that readers can download and print, and links to other useful sites.
* Separate chapters that review fundamental statistical concepts: one on correlation and regression (providing a foundation for less advanced readers), and another on data preparation and screening.
* More coverage of the relation between measurement models and structural models in Chapter eight, which directly compares both types of models.
* New, separate chapters on nonrecursive models of multiple-sample SEM in Part three, including extensive explanations of latent growth models in Chapter ten and multilevel SEM in Chapter thirteen.
This bestselling text that has been popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) is now in its second edition.
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.
The bestselling text that has been so popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) has now been carefully revised to be even more useful. New to this edition are:
* The first SEM text webpage, offering free access to data and program syntax files for many of the research examples in the book, electronic overheads that readers can download and print, and links to other useful sites.
* Separate chapters that review fundamental statistical concepts: one on correlation and regression (providing a foundation for less advanced readers), and another on data preparation and screening.
* More coverage of the relation between measurement models and structural models in Chapter eight, which directly compares both types of models.
* New, separate chapters on nonrecursive models of multiple-sample SEM in Part three, including extensive explanations of latent growth models in Chapter ten and multilevel SEM in Chapter thirteen.
This bestselling text that has been popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) is now in its second edition.