This course covers the theory of Structural Equation Modeling (SEM) – a general statistical modeling technique to establish relationships among variables. It explores the key feature of SEM – that observed variables are understood to represent a small number of “latent constructs” that cannot be directly measured, only inferred. It includes practical work with computer software and real data.
Dr. Randall E. Schumacker
Dr. Randall E. Schumacker is Professor in Educational Research at the University of Alabama, and was the founder, editor (1994-1998), and is the current emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal. He is now the editor of Measurement: Interdisciplinary Research and Perspectives. Randall also founded the Structural Equation Modeling Special Interest Group at the American Educational Research Association.