LISA Statistics Short Course: Structural Equation Modeling (SEM) Using AMOS
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 2013 Schedule:
Monday, June 10: Structural Equation Modeling (SEM) Using AMOS;
Monday, June 17: Designing Experiments and Collecting Useful Data*;
Monday, June 24 & Tuesday, June 25: Basics of R;
Monday, July 1 & Tuesday, July 2: Statistical Analysis in R;
Monday, July 8 & Tuesday, July 9: Graphing with R;
Monday, July 15: SAS Programming I;
Tuesday, July 16: SAS Programming II;
Monday, July 22: Model selection in R featuring the lasso;
*This course will be held in Fralin Auditorium, all other courses are in 3060 Torgersen Hall.
Monday, June 10, 4:00-7:00 pm;
Instructor: Khaled Bedair;
Location: 3060 Torgersen Hall;
Title: Structural Equation Modeling (SEM) Using AMOS;
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. The correlation matrix of a longitudinal study data of 932 persons over the period from 1966 to 1971 with 6 measurements will be used to illustrate the concepts listed above.
The first two hours of this course covers the concepts of structural equation modeling with an application to the data set. The last hour of the course will be AMOS lab session and basics of the power analysis using R.
A schedule of available LISA short courses may be found here: www.lisa.stat.vt.edu/?q=short_courses.
Follow us on Facebook (www.facebook.com/Statistical.collaboration) or Twitter (www.twitter.com/LISA_VT) to be the first to know about LISA events!