Psychology

Course Description: This course provides an introduction to linear structural equation modeling and its applications to social and behavioral research. This course will cover various data analytic techniques ranging from simple regression and factor analysis to advanced longitudinal analysis. Within each technique we will examine algebraic and graphic model specification, estimation procedures, identification, and model fit. The goals are to develop an understanding of the conceptual and mathematical bases of SEM and to learn how to specify and estimate model and to evaluate them in relation to alternative models using statistical and practical criteria. Classes will include both theoretical and practical sections.

Course Format: This is a 4 unit course comprised of weekly lectures and computer sessions.

Course Topics: Topics include path analysis, confirmatory factor analysis, multiple groups models, growth curve analysis, missing data, and SEMs for categorical data.

Grading: Grades will be based on homework, attendance, paper critique, and the final project