UV9296 – Methods for Causal inference in Educational Research
UV9296 is taught as one of the elective modules of the master level course MAE4051 Selected Topics in Educational Measurement. The content, schedule and reading list are the same as for MAE4051.
It is strongly recommended that the students in UV9296 attend all lectures with hands-on components.
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 candidates from other programs or universities may also apply.
The deadline for registration is 20 January, 2019.
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.
Formal prerequisite knowledge
Master's degree. 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.
Recommended previous knowledge
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.
Organizer: CEMO (Centre for Educational Measurement at University of Oslo)
Coordinator/Responsible: Jan-Eric Gustafsson
Schedule: Jan 28 & 29, Feb. 4, 5, 11, 12, 18 & 19
Literature: reading list available here
To obtain 1 credit, 80 % attendance in the course is required. To obtain 3 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.
Use of sources and citation
Language of examination
The examination text is given in English, and you submit your response in English.
Grades are awarded on a pass/fail scale. Read more about the grading system.