Applied Longitudinal Data Analysis | Data Analysis Using Regression And Multilevel/Hierarchical Models | Handbook of Structural Equation Modeling | Confirmatory Factor Analysis for Applied Research | Causality | Latent Variable Modeling Using R | Structural Equations With Latent Variables
This bestselling text provides a balance between the technical and practical aspects of structural equation modeling (SEM). Using clear and accessible language, Rex B. Kline covers core techniques, potential pitfalls, and applications across the behavioral and social sciences. Some more advanced topics are also covered, including estimation of interactive effects of latent variables and multilevel SEM. The companion Web page offers downloadable syntax, data, and output files for each detailed example for EQS, LISREL, and Mplus, allowing readers to view the results of the same analysis generated by three different computer tools.
*”Troublesome” examples have been added to provide a context for discussing how to handle various problems that can crop up in SEM analyses.
About: Designed for researchers and students without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in psychology and the social sciences.
About: Designed for students and researchers without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in the social sciences.
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