JSM 2015 Preliminary Program

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Activity Details

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CE_25C Tue, 8/11/2015, 1:00 PM - 5:00 PM S-Willow B
Introduction to Structural Equation Modeling and Its Applications (ADDED FEE) — Professional Development Continuing Education Course
ASA
Structural equation modeling (SEM), which originated in the social sciences, is becoming popular in other research fields such as education, health science, and medicine. This course introduces statisticians to the general methodology of SEM and its applications. The course reviews traditional topics, including path analysis, confirmatory factor analysis, measurement error models, and linear structural relations with latent variables. Applications are illustrated with examples drawn from educational, behavioral, and marketing research. Two advanced SEM techniques, the analysis of total and indirect effects, and multiple-group SEM also are covered. The statistical theory of SEM is presented at a level suitable for general understanding of sound practice. This course is designed for statisticians and data analysts who want an introductory overview of SEM techniques for applications. Attendees will learn how to (1) specify structural equation models with or without latent variables, (2) interpret model fit statistics and estimation results, (3) estimate total and indirect effects, and (4) use model modification indices to fine-tune models. The CALIS procedure in SAS/STAT software is used to demonstrate model specifications and fitting. Attendees should have a basic understanding of regression analysis. Experience using SAS software is not required.
Instructor(s): Yiu-Fai Yung, SAS Institute




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