2022/2023
KAN-CPOLO1043U Advanced Mixed Methods
| English Title |
| Advanced Mixed
Methods |
|
|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Mandatory |
| Level |
Full Degree Master |
| 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/MSc i International Business and Politics,
MSc
|
| Course
coordinator |
- Christoph Houman Ellersgaard - Department of Organization
(IOA)
- Oddný Helgadóttir - Department of Organization
(IOA)
|
| Main academic
disciplines |
- Methodology and philosophy of science
- Statistics and quantitative methods
|
| Teaching
methods |
|
|
|
Last updated on
24-06-2022
|
| Learning objectives |
Students should:
- Be analytical with regard to the types of inferences that can
be derived from different types of data and analysis, including the
ambiguity of complexities, complementarities and contradictions as
they appear in mixed methods research in particular;
- Become better consumers of mixed methods research, developing
the skills both to gauge analytical potential and be cognizant of
shortcomings and ambiguities in cutting edge social science
research;
- Show the ability to understand how different methods introduced
in the course can contribute to answering a social science research
question in collaboration as group;
- Develop the ability to independently use and reflect on the
validity and reliability of mixed methods in individual or group
research projects;
- Understand individual ethical responsibilities as researchers
working with personal data;
- Hone the skills to disseminate independent research findings to
others in a way that concretely communicates both narrow analytical
value added and the broader contribution of the research to the
state of the art in scholarship and societal
wellbeing
|
| Course prerequisites |
| Our aim in this course is to open up further
avenues from fundamental methods and give concrete examples of how
to combine different approaches. Therefore, we expect students to
be familiar with core concepts from quantitative and qualitative
methods and have experience applying these methods separately in
projects or assignments. The course will rely on the statistical
software R, but no prior knowledge of the software is
assumed. |
| Examination |
|
Advanced Mixed
Methods:
|
| Exam
ECTS |
7,5 |
| Examination form |
Home assignment - written product |
| Individual or group exam |
Group exam
Please note the rules in the Programme Regulations about
identification of individual contributions. |
| Number of people in the group |
2-5 |
| Size of written product |
Max. 30 pages |
|
2 students - Max. 15 pages
3 students – Max 20 pages
4 students - Max 25 pages
5 students - Max 30 pages |
| Assignment type |
Project |
| Duration |
Written product to be submitted on specified date
and time. |
| 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
Re-exam when the ordinary exam is
failed is 3 standard page supplement. The report plus supplement
must also be resubmitted.
If you have not handed in a project in the first exam try you must
hand in a full report plus 3 additional pages.
Make-up exam when ill with Doctor's certificate during the
writing of the project is the same as the ordinary
exam
|
Description of the exam
procedure
The exam assignment will be based on work developed throughtout
the course, in particular during the course
workshops.
|
|
| Course content, structure and pedagogical
approach |
|
The purpose of Advanced Mixed Methods is to make students better
consumers and producers of multi-method research. To that end, we
will 1) discuss how fundamental building blocks of social
scientific research can speak to and qualify one another 2) learn
how to apply and combine various concrete methods such as case
studies, content analysis, process tracing and relational
quantitative methods such as social network analysis,
correspondence analysis & sequence analysis and; 3) critically
examine and learn from prominent examples of mixed methods in
existing research.
Reflecting these learning priorities, the course aims to give
students practical experience incorporating mixed methods into
their own research design. We will discuss the uses of different
types of data in making inference regarding a research question.
The goal is to both give students new tools to work with and the
ability to consume and assess their past and current application in
political research. Each method will be introduced in a set of
lectures; then students will get the chance to work with the
methods themselves in smaller workshops. These workshops will serve
as the foundation of a final research paper - in which mixing
methods is a requirement - which functions as the exam assignment
for the course.
|
| Description of the teaching methods |
| The course will be taught in-person. We will
focus on making methods concrete by letting students read the
excellent examples of existing scholarship while also working on a
course-long project in the workshops, which can be used in the exam
project. Students are expected to present and share their work with
other students during the workshops. |
| Feedback during the teaching period |
The course offers continuous feedback and
establishes an ongoing dialogue with students. Particular feedback
includes: a) direct feedback on learning attainment during
workshops with methodological training; b) the use of in-class
quizzes in live lecture sessions; c) focused feedback on ‘work in
progress’ presentations of arguments and evidence; d) engagement
via regular office hours in person or online. Feedback is given to
explain how particular analysis, answers and arguments can be
improved.
|
| Student workload |
| Lectures |
24 hours |
| Workshops |
12 hours |
| Course preparation. Includes: readings for lectures and
exercises work on activities (homeworks) |
92 hours |
| Exam |
80 hours |
|
Last updated on
24-06-2022
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