2018/2019
BA-BSOCO1024U Quantitative Methods II
English Title |
Quantitative Methods
II |
|
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 |
|
Last updated on
29-06-2018
|
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 and logit regression at an
intermediate and advanced level, enabling the student to expand and
develop the knowledge and skills achieved in the courses
‘Introduction to Research Design and Quantitative Methods I’, and
‘Applied Qualitative Method and Mixed Methods’. On 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
Quantitative Methods I. The course is also related to the issues
covered in ‘Introduction to Research Design and Quantitative
Methods I’ (e.g. research design, sampling, and variable
measurement) and ‘Applied Qualitative Methods and Mixed Methods’
(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-step 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 and structure |
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 |
20 hours |
Exercises |
68 hours |
Exam |
48 hours |
Preparation |
70 hours |
|
Last updated on
29-06-2018