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2019/2020  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, Governance and Business (EGB)
Main academic disciplines
  • Methodology and philosophy of science
  • Statistics and quantitative methods
Teaching methods
  • Face-to-face teaching
Last updated on 20-12-2019

Relevant links
Learning objectives
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 course ‘Research Design and Quantitative Methods I’. Upon completion of the course, the student should be able to understand the fundamental principles behind the statistical tools introduced in the course and be able to apply these to a specific research problem. Specifically, the students 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 Research Design and Quantitative Methods I. The course is also related to the issues covered in ‘Research Design and Quantitative Methods I’ (e.g. research design, sampling, and variable measurement) (e.g. the role of quantitative data in mixed methods designs, strengths and weaknesses of using quantitative data).
Examination
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.
Description of the teaching methods
Lectures and class work
Feedback during the teaching period
Feedback on work and topics covered in the course is mainly given during the exercises - where there is a higher level of student-teacher interaction. Feedback will also be given in relation to questions asked during lectures. Finally, students are encouraged to use office hours for feedback.
Student workload
Lectures 18 hours
Exercises 18 hours
Exam 48 hours
Preparation 70 hours
Last updated on 20-12-2019