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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. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

Tabla de contenidos provista por Syndetics

• 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

Notas de autor provistas por Syndetics

Rex B. Kline, PhD, is an associate professor of Psychology at Concordia University in Montréal. Since earning a PhD in psychology, his areas of research and writing have included the psychometric evaluation of cognitive abilities, child clinical assessment, structural equation modeling, and usability engineering in computer science. Dr. Kline has published three books and more than 40 articles in research journals and is the coauthor of a teacher-informant rating scale for referred children.