Structural Equation Modeling Using R and SAS

Ding-Geng Chen and Yiu-Fai Yung offer an insightful exploration of structural equation modeling (SEM), a method that has garnered significant interest among researchers for its ability to assess complex relationships between variables. The authors skillfully navigate the intricacies of SEM, providing readers with a grounding in both the theoretical and practical aspects of the methodology. Their expertise is evident as they illustrate the application of SEM using both R and SAS, making the techniques accessible to a wide audience, including those with varying levels of experience in statistical modeling.

The book serves as a comprehensive guide, filled with examples and practical exercises that enable readers to have hands-on learning experiences. Chen and Yung ensure that readers not only understand the calculations and algorithms behind SEM, but also how to effectively interpret the results in the context of their own research. This resource is poised to be an essential addition to the libraries of academics, practitioners, and students eager to delve into the world of structural equation modeling.