ILRST 6140

Hierarchical Linear and Structrual Equations Models

Course Description

Course information provided by the Courses of Study 2014-2015.

This course comprises a brief introduction to the fundamentals of matrix algebra, followed by (a) theory and applications of hierarchical linear (mixed) models and (b) structural equations models. Topics include but are not limited to: (a) Random effects models, analysis of repeated measures data, random coefficient models; (b) covariance, path analysis, measurement models including latent and observed variables, confirmatory factor analysis, the general structural equations model. Fitting of models to data via suitable computer software; alternative software approaches. Application to simulated and real-world scientific data. Critical reading of the scientific literature applying these models.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: A second course in applied statistics focusing on linear models, at the level of BTRY 6020.

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