LISA Statistics Short Course: Linear Regression and Structural Equation Models (SEM)
LISA SHORT COURSES IN STATISTICS
LISA (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 2011 Schedule:
June 13: What LISA Can Do for You and a Tutorial in T-Tests and ANOVA*;
June 21 & 22: Introduction to R;
June 28 & 29: Linear Regression and Structural Equation Models;
July 5 & 6: Generalized Linear Models;
July 11: Mixed Models and Random Effects*;
*Course to be held in Fralin Auditorium. Other courses will be in 3060 Torgerson Hall
Wednesday, June 29;
Instructor: Khaled Bedair;
Title: Linear Regression and Structural Equation Models (SEM);
This course consists of two sections:
Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous variables. We will cover the computation of the regression equation and the analysis of variance table. We will also discuss S, R-Sq, R-Sq (adj), predicted values, confidence intervals, prediction intervals, and how to check for unusual observations and assumptions.
Section 2 introduces Structural Equation Modeling (SEM). We will cover time-related latent variables, the use of modification indices and critical ratio in exploratory analyses, and computation of implied moments, factor score weights, total effects, and indirect effects.
This course will also be taught on 6/29/11.
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