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857-0091-00L 6 Credits MSC D-GESS

Methods II: Quantitative Methods

Lecturers: Prof. Dr. Dominik Hangartner, Dr. Philip Grech, Dr. Nicolai Berk
Examiners: Prof. Dr. Dominik Hangartner, Dr. Philip Grech
VVZ CR n/a

Last Updated: 2026-06-03 00:07:35

Abstract

This class provides an introduction to statistical methods for social science and policy analysis. The class covers causal inference, measurement, prediction with a focus on linear and logistic regression, probability, and uncertainty. Each topic is accompanied by exercises in the R programming language.

Objective

After this course, students should be able to assemble a dataset, prepare descriptive statistics, develop and test hypotheses, and present their results in a high-quality presentation or paper.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
If the overall grade is unsatisfactory, a second attempt is possible. This requires a re-registration for the entire course in the following year and to complete all performace components again.

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
exercise Methods II: Tutorial No time listed 2 h weekly
seminar Methods II: Quantitative Methods No time listed 2 h weekly

Offered In