Høst 2025

SVF-3044 Quantitative Methods - 10 stp

The course is administrated by

Institutt for samfunnsvitenskap

Type of course

This course is a mandatory course in the master's programme in Contemporary Issues in Risk and Crisis Management (CRCM).

The course can also be taken as a single course and is equivalent to the course SVF-3004 "Kvantitativ metode".

Course overlap

STA-3301 Applied statistical methods and data analysis 10 ects

Course contents

The course focuses on the research process in quantitative studies. The emphasis is on the implementation of quantitative research designs. Data collection and dataset construction will be central. Dimensions, levels, and temporal aspects of data will be discussed. The main focus is on various forms of regression analysis, including both OLS and MLE models, including logistic regression and survival models.

Admission requirements

Completed bachelor's degree.

Application code: 9371 - single course master's level.

Objective of the course

After completing the course, students should have the following learning outcomes:

Knowledge

The student has:

Good knowledge of quantitative research
Good knowledge of dataset construction and data systematization
Knowledge of how to apply different statistical analyses
Understanding of a quantitative research process from planning to report/thesis.

Skills

The student can:

Conduct all parts of a quantitative study independently
Use statistics in a research process and in reports/theses
Analyse different types of quantitative data.

Competence

The student can:

Conduct a small social science study with a quantitative perspective, such as their own master's thesis.

Language of instruction

English

Teaching methods

The teaching consists of pre-recorded online lectures (12-15 lectures each 20 min) and pre-recorded online seminars with practical exercises (6-8 seminars each 20 min). All course material, including lectures, seminars, and tasks, are digitalized.

The course involves practical work with data collection from various sources, dataset construction, and statistical analysis, as well as searching for relevant method literature.