LISA Statistics Short Course:Structural Equation Modeling (SEM)
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Summer 2012 Schedule:
June 11 & 18: Introduction to JMP;
June 21: Explore JMP Capabilities in Design of Experiments;
June 25: Structural Equation Modeling (SEM);
July 16: Designing Surveys and Interpreting the Results*;
July 17: Introduction to R, Part I;
July 19: Introduction to R, Part II;
July 23 & 26: Fixed Effects, Random Effects, and Correlated Data;
*This course will be held in Fralin Auditorium, all other courses are in 3060 Torgersen Hall.
Monday, June 25;
Instructor: Khaled Bedair;
Title: Structural Equation Modeling (SEM);
Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance and multiple linear regression models. This short course features an introduction to the logic of SEM, the assumptions and required input for SEM analysis, and how to perform SEM analyses using the AMOS (Analysis of Moment Structures) software. We also will cover time-related latent variables, the use of modification indices and critical ratio in exploratory analyses, computation of implied moments, factor score weights, total effects, and indirect effects.
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