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The purpose of this course is to introduce students to causal/structural equation modeling (SEM) in the field of family therapy for dyadic analysis issues. This course will illustrate the uses of structural equation models for dyadic, cross-sectional, longitudinal, and experimental data analysis. Major activities include a combination of lectures, group discussions, and software applications and interpretations. The course will cover an introduction to SEM with an emphasis on dyadic analysis, building, specifying, estimating, and testing models, confirmatory factor analysis, invariance testing, full SEM models and related techniques. The course is organized to take students through each of the cumulative steps in the analysis: 1) deciding which type of model is appropriate; 2) setting up the data file and cod.

College/Department: College of Nursing Health Professions
Repeat Status: Not repeatable for credit