The course consists of two parts: Scientific method and analysis of data (Part 1) and Independent work (Part 2).
Part 1: Scientific method and analysis of data The role that probability theory and statistical philosophy plays within scientific method is discussed with the aim of noting their role in various research strategies. The focus is to provide an understanding of statistical reasoning within data analysis and research. The measurement level’s importance for different statistical analyses is emphasized and the normal distribution’s relevance for statistical analyses is discussed. Analysis methods discussed are: comparison of two or more groups, relationships between variables and model based analysis (different types of regression analysis, e.g., linear, logistics, and Cox regression).
Part 2: Independent work The students work on a project in which they will independently analyze data. The work is usually performed in pairs. Tutoring is offered. The project is orally presented and discussed on a seminar and with a written final report. The students should also review, evaluate, and discuss other students’ projects.
Quantitative Research Methods for the Social Sciences, 7.5 credits
Spring Term 2022
The information below is only for exchange students
17 January 2022
17 February 2022
Type of studies
University: Courses of the amount of 90 credits in social sciences. Proficiency in English equivalent to Swedish upper secondary course English B (English/6)
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.
Contactpersons for the course are:
Study advisor, Department of Statistics, Umeå School of Business, Economics and Statistics