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2020/2021  BA-BSOCO1024U  Quantitative Methods II

English Title
Quantitative Methods II

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Start time of the course Third Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in Business Administration and Sociology
Course coordinator
  • Mogens Kamp Justesen - Department of International Economics, Goverment and Business (EGB)
Main academic disciplines
  • Methodology and philosophy of science
  • Statistics and quantitative methods
Teaching methods
  • Face-to-face teaching
Last updated on 25-06-2020

Relevant links

Learning objectives
Upon completion of the course, the student should be able to
  • Formulate and operationalise a research problem for which one or more of the methods introduced in the course is suitable
  • Select methods that are appropriate for analyzing particular types of variables
  • Account for the underlying principles behind the applied method(s), and reflect on their strengths and weaknesses
  • Apply the method(s) and interpret the results appropriately in a manner that is relevant to the research problem
  • Conduct a quantitative, empirical analysis using a statistical software package.
Course prerequisites
Students are presumed to be familiar with basic descriptive and inferential statistics, and with concepts such as statistical significance, p-values, confidence intervals, correlation, and the role of control variables introduced in RDQM. The course is also related to the issues covered in RDQM (e.g. research design, sampling, and variable measurement as well as the role of quantitative data in mixed methods designs, strengths and weaknesses of using quantitative data).
Quantitative Methods II:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Duration 48 hours to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Spring
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

The exam is a take-home exam based on a question posed by the course instructor.

Course content, structure and pedagogical approach

The course introduces students to quantitative methods at an intermediary level, and includes introductions to regression analysis for continuous and categorical variables. The course consists of a mix of lectures and applied statistical analysis and exercises in lab sessions. Students are expected to participate actively during lectures and exercises. For the exercises, students will be given assignments, and are expected to make (at least) two presentations in class.


The aim of this course is to provide the students with both theoretical and practical knowledge about quantitative methods such as multivariate OLS, logit regression, and identification strategies for causal inference at an intermediate and advanced level, enabling the student to expand and develop the knowledge and skills achieved in the RDQM course. Students learn to understand fundamental principles behind the statistical tools introduced in the course and to apply these to a specific research problem.

Description of the teaching methods
Lectures and class work
Feedback during the teaching period
Students will get feedback on their work during exercise classes.
The exercise classes will revolve around exercise questions and task for students. During class, students will get feedback on their work on the questions/tasks from teachers, and there will be opportunities to discuss the use and application of methods along with the corresponding analyses. Teachers will give oral feedback based on student answers to exercise questions.
Student workload
Lectures 18 hours
Exercises 18 hours
Exam 48 hours
Preparation 122 hours
Last updated on 25-06-2020