With increases in the use of structural equation modeling (SEM) in the social sciences, graduate course offerings in this statistical technique can be expected to increase. Knowledge of the content of current SEM course offerings may provide ideas to instructors developing new courses or enhancing current courses. This article discusses results from a review of 55 SEM course syllabi, mostly from the disciplines of education and psychology. Areas that were reviewed include course content, software use, required and recommended readings, and techniques used to assess student learning. Summary descriptive statistics, examples of specific strategies, and a list of selected readings used in these courses are provided. This review is intended to provide information to instructors who are creating a new course and instructors seeking ideas to change or augment their courses.
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Stapleton et al. (2005) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: