SOSGEO4022 – Advanced regression analysis
Course description
Course content
Learning outcome
Knowledge objectives
Throughout this course, you will acquire in-depth knowledge about
- regression analytic models for independent and correlated data
- analytical strategies for quantitative data
Skill objectives
Throughout this course, you will learn how to
- conduct multiple linear regressions: including interaction with categorical and continuous variables, polynomials and other transformations, and piecewise splines
- analyse correlated data, including panel-, clustered- and spatial data: a) fixed effects, b) hierarchical models, c) spatial error and spatial lag models
- develop causal models: DiD and RD
General competence
This course will enable you to
- conduct quantative analysis of a high standard and present it in written form
Admission to the course
Admission to the course is dependent on admission to a master’s degree programme at the Department of Sociology and Human Geography.
The course is open to master specialisation in didactics for social science in the Teacher Education Programme (Lektorprogrammet) - please see the link for information regarding admission.
Formal prerequisite knowledge
Overlapping courses
- 5 credits overlap with SOS4020 – Kvantitativ metode.
Teaching
Examination
Language of examination
Grading scale
Resit an examination
If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.
See also our information about resitting an exam.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.