Structural Equation Modeling

Catalog description

This advanced-level, elective statistics course focuses on the family of analytical techniques referred to as structural equation modeling (SEM). SEM covers both measurement models (e.g., confirmatory factor analysis) and structural models. The course covers theoretical and methodological considerations and preliminary data screening necessary to ascertain whether SEM would be an appropriate technique; terminology and notation specific to SEM; statistical assumptions and strategies for assessing and remedying possible violations; use of SEM to conduct confirmatory factor analysis; use of SEM to test structural models, including mediation models; advanced models (e.g., multiple-group, longitudinal, dyadic, to be determined by student interests); how to critique SEM analyses and identify common problems; statistical power; and best practices for reporting SEM analyses and results. AMOS will be used to conduct the SEM analyses and SPSS to conduct preliminary analyses. The course uses a combination of readings, class discussion, lecture, written assignments, and hands-on computer labs. Prereq: SASS 613 , SASS 615 , SASS 616 and SASS 618 .