2016/2017
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 Business and Politics
(DBP)
|
| Main academic
disciplines |
- Methodology and philosophy of science
- Statistics and quantitative methods
|
|
Last updated on
17-08-2016
|
| Learning objectives |
To achieve the grade 12, students
should meet the following learning objectives with no or only minor
mistakes or errors: The aim of this course is to provide the
students with both theoretical and practical knowledge about
quantitative methods at an intermediate and advanced level,
enabling the student to expand and develop the knowledge and skills
achieved in the courses ‘Quantitative Methods I’, ‘Introduction to
Research Design’, 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’ (e.g.
research design, sampling, and variable measurement) 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 courses
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.
|
| Teaching methods |
| Lectures and class work |
| Student workload |
| Lectures |
20 hours |
| Exercises |
68 hours |
| Exam |
48 hours |
| Preparation |
74 hours |
|
Last updated on
17-08-2016
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