Course content

This course covers applied statistical data analysis with continuous and categorical variables. The emphasis will be on regular OLS analysis and how this can be used to examine various relationships between dependent variables (Y) and a set of continuous explanatory variables (X). The students are also introduced to logit regression and other techniques applied when Y is a categorical variable.

Learning outcome

To teach the students to be critical when reading social science literature where regression models are applied. The relationship between regression models and analytical results will be discussed and the students will learn how to perform simple analyses with these models.

Learning methods and activities

Teaching methods and activities: Lectures/seminars/assignments equivalent to 6 hours pr week.

Form om assessment: Assignment/Paper

Recommended previous knowledge

SOS1002

Required previous knowledge

15 credits quantitative research methods in the social sciences

Course materials

To be decided at the start of the course

Credit reductions