UV9296 – Methods for Causal inference in Educational Research

Course content

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.

Please see the course page for MAE4051 for a detailed description of the course content and learning outcomes.

Click here for detailed information about the workshop Methods for Causal Inference in Educational Research.

It is strongly recommended that the students in UV9296 attend all lectures with hands-on components.

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 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.

Prerequisites

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.

Teaching

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

Coordinator/Responsible: Jan-Eric Gustafsson

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

Schedule: Jan 28 & 29, Feb. 4, 5, 11, 12, 18 & 19

Literature: reading list available here 

Examination

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

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

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

3

Level

PhD

Teaching

Spring 2020

Examination

Spring 2020

Teaching language

English