Course - Applied Social Statistics - SOS3003
Applied Social Statistics
About
About the course
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
Knowledge - the student shall:
- be able to read academic literature in the social sciences where regression models are used with critical insights in the context of modeling assumptions and analysis results.
Skills - the student shall demonstrate the ability to:
- carry out analyses with the help of the analytical models in which they received instruction.
Learning methods and activities
Teaching methods and activities: Lectures/seminars/assignments equivalent to 6 hours pr week.
Further on evaluation
Forms of assessment: A 6 hour written exam and the term paper. Each part counts half of the grade. In case of repetition, the student can repeat in either one of the parts or both. This applies both to a new assessment after failing and to an improvement in the grade.
Recommended previous knowledge
None.
Required previous knowledge
SOS1002 or the equivalent. The requirement must be fulfilled to be admitted to the course.
Course materials
To be decided at the start of the semester.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SVSOS316 | 15 sp | |
| IDR3024 | 15 sp | Autumn 2007 |
| SOS3010 | 7.5 sp | Autumn 2008 |
| SOS3005 | 7.5 sp | Autumn 2010 |
| SOS8003 | 10 sp | Autumn 2010 |
Subject areas
- Social Sciences
- Sociology
- Political Science
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2025
Assignment
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.