This short course will introduce you to the major ideas behind structural equation modeling (SEM) and equip you with the knowledge necessary to get started on your own analysis using this method. SEM is a valuable tool beyond traditional regression models due to its flexibility, as it allows researchers to test more complex relationships among variables and to account for measurement error in analysis.
Participants should be familiar with regression modeling before taking this course. Experience using R will be helpful but is not required.