UV9294 – Analysis of Large-Scale Assessment Data

Course content

UV9294 is taught as one (of several) elective module of the master level course MAE4051 Selected Topics in Educational Measurement. The contents of the course, schedule and reading list are the same as for MAE4051.

Please see the course pages for MAE4051 for a general description of the course contents and learning outcomes.

Please see the semester pages for MAE4051 for a more detailed description of this specific module, including reading list

It is strongly recommended that the students in UV9294 attend all lectures with hands-on sections.

Admission

There is a limited number of seats due to joint teaching with the master’s level version of the course.

PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course.

The deadline for registration is 15 September 2020.

Candidates admitted to a PhD-program at the Faculty of Educational Sciences (UV) can apply in StudentWeb.

Other applicants can apply by filling out this electronic form.

Prerequisites

Recommended previous knowledge

Solid knowledge of basic statistical methods as typically acquired in a B.Sc. study program in the social sciences (descriptive statistics, statistical inference, correlation, regression analysis, factor analysis, path analysis) is expected. Additionally, a basic command of the statistical software R would be advantageous. The students are expected to bring a laptop with administrator rights and the newest version of R installed.

Teaching

Organizer: CEMO (Centre for Educational Measurement at University of Oslo)

Coordinator/Responsible: Dr. Isa Steinmann

Teaching: Joint teaching with the master level version of the course, MAE4051.

Schedule: 1. - 9. October 2020 

Literature: Please refer to the MAE4051 semester pages

Examination

To obtain 1 credit, 80 % attendance in the course is required. To obtain 4 credits, 80 % attendance and a successfully completed paper is required.

A more specific description of the paper and a submission deadline will be given in class.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Facts about this course

Credits

4

Level

PhD

Teaching

Autumn 2020

Examination

Autumn 2020

Teaching language

English