Learning goal for this course includeUnderstanding fundamentals of structural equation modeling (SEM), such as basic elements, model identification, estimation, and model fitEstimating SEMs includingConfirmatory factor analysisObserved-variable and latent-variable path modelsMulti-group models(Moderation and mediation models)Correctly reporting results of those SEMs

Lectures, in-class discussion, individual and group-based exercises, assigned reading/viewing.

Fundamentals of SEMPrinciples of factor analysisPrinciples of observed-variable and latent-variable path modelsMore complex models, such as moderation (including multi-group models) and mediation models

Basic knowledge of correlation and linear regression is highly recommended, but not required.

To be announced in class

Written examsIn-class exercisesAssignments

Content of the presented material Assigned reading

Quality of exams and exercise and assignment resultsActive participation in classAs a minimum, the following performance criteria need to be met in order to successfully complete the course:Participation (a minimum of 80% during classes, in any case during the first session)Submitting assignments, homework, seminar papers, etc., within the communicated deadlineIn case any of the above-mentioned performance criteria are not met throughout the semester, the course will be evaluated negatively with immediate effect, and students need to retake the course.