Logistics

Weekly preparation

Before every class meeting (both lectures and practicals) you need to do the assigned homework (delineated in the GitBook chapter for that week). This course follows a flipped classroom procedure, so you must complete the weekly homework to meaningfully participate in, and benefit from, the class meetings.

Evaluation

Your grade for the course is based on a “portfolio” composed of the two data analysis projects:

  1. Path modeling
    • Deadline: Sunday 2025-10-05 at 23:59
    • Group assignment
    • Pass/Fail
  2. Structural equation modeling
    • Deadline: Sunday 2025-11-02 at 23:59
    • Individual assignment
    • Comprises your entire numeric course grade

The specifics of the assignments will be explicated in the Assignments chapter of this GitBook

Attendance

Attendance is not mandatory, but we strongly encourage you to attend all lectures and practicals. In our experience, students who actively participate tend to pass the course, whereas those who do not participate tend to drop out or fail. The lectures and practicals build on each other, so, in the unfortunate event that you have to miss a class meeting, please make sure you have caught up with the material before the next session.