Admission
You can apply for these courses on the individual course pages listed below. Please note that admission depends on your prior knowledge and on the availability of free places (Priority is given to our own students or other UiO students).
- Due to the nature of the subject matter, most courses are quite intensive and hence you will not get much out of them if you only drop in on random sessions. Commitment is required in order to get a good learning experience out of the courses.
- The free statistical software environment R is used in most of the courses.
We can also provide short courses or workshops on several topics regarding test design and construction, study design and general methodological issues, or statistical modelling and data analysis.
Double-coded courses of the master programme
In most of these courses, you will join our current cohort of students of the Master of Science in Assessment, Measurement, and Evaluation. This means that teaching is organized with sessions of 1h45 on a frequent basis throughout the week. Most courses are scheduled in a block spanning for instance 8 weeks. The UV9092 Data Science is considered foundational for the other courses on the list.
Autumn 2023
- UV9092 Data Science
- UV9218 Linear Models
- UV9291 Principles of Measurement
- UV9253 Multilevel Models
- UV9203 Survey Methodology
- UV9204 Study Design for Causal Inference
Spring 2024
- UV9121 Response Process Data in Assessment (week 2 2024)
- UV9293 Item Response Theory
- UV9297 Measurement Models
- UV9257 Multilevel and Longitudinal Modeling (week 24 2024)
Workshops
These workshops can be given by CEMO staff upon request depending on the availability of time and resources. Negotiation on timing, location, and compensation happens on a case-by-case basis. Contact the individual staff member listed for inquiries about a specific workshop.
- Computerized Adaptive Testing (contact: Prof.dr. Johan Braeken)
- Explanatory Item Response Models (contact: Prof.dr. Johan Braeken)