Applied Structural Equation Modeling in Education.

Catalog description

Semester course; 3 lecture hours (delivered face-to-face or hybrid). 3 credits. Prerequisite: EDUS 663 . Students are expected to have some basic knowledge of multiple regression and multivariate data analysis. Most of the statistical methods in the course are an extension of regression and multivariate models. The course provides students with an understanding of basic concepts and statistical procedures of structural equation modeling in educational research. These analyses will allow the class to examine the interrelationships among variables based on the proposed theoretical model and simultaneously handle measurement error issues and statistical biases. The analyses cover path analysis, measurement models (exploratory and confirmatory factor analysis), SEM with continuous and categorical variables, multi-group SEM, measurement invariance, latent growth models, latent class analysis and multilevel SEM.