Applied Research Methods
Course content
Applied Research Methods (ARMS) familiarises students with a selection of qualitative and quantitative research methods that are of relevance for cross-disciplinary research. By the end of the course, students are expected to have acquired in-depth knowledge of at least one methodology and to be able to apply it. The course is built around a case study to be conducted by the students on a topic of relevance for global development, applying the techniques learnt during the course. Group work on the case study will be crucial to increase students’ methodological skills and analytical capacities.
MSc programme in Global Development
After completing the course, the student should be able to:
Knowledge:
- Describe central concepts in qualitative and quantitative data gathering and discuss their strengths and limitations.
- Describe central concepts in qualitative and quantitative data analysis and discuss their strengths and limitations.
Skills:
- Perform statistical analyses of quantitative data, using appropriate statistical software
- Plan and perform participant observation and qualitative interviews.
- Perform qualitative analyses.
- Write integrated report of main research findings.
Competences:
- Select relevant methods for data gathering and analysis.
- Ability to collaborate across disciplinary boundaries.
The course is based on a combination of lectures and seminars drawing on relevant academic literature. Students develop their practical skills through exercises and a case study combining different research methods. The seminars are designed to substantiate the knowledge gained during the lectures. This will be achieved by carrying out exercises that will require the application of theoretical concepts and the use of statistical software. Students will be subdivided in smaller groups of students who are expected to work together throughout the course in a manner approaching professional collaboration.
Course registration is automatic for students on 1st semester.
This course is fully booked and therefore not open to credit/exchange students.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Home assignment
- Type of assessment details
- The exam assignment is a written group-report based on the case
study.
The report has a page limit of 10 normal pages including maps, plots, and tables. Transcribed interviews indicating names of interviewers should be attached as appendices.
The report must contain:
1. A short introduction (the background, what methods have been used and how)
2. Results of the quantitative survey (tables and figures, with good comments)
3. Short narrative presentation of results from qualitative interviews and participant observation.
4. An integrated analysis of results.
The report must be presented to the class. To ensure that individual contributions to the report are acknowledged, the report must include a brief clarification specifying each member’s precise contribution to the report. Groups consists of up to six students.
Formal requirements for written assignments and exams are described in Curricula’s Common Part. - Examination prerequisites
-
Attendance in no less than 75% of the seminar groups is a prerequisite for sitting the exam.
Each group is expected to present a paper during the course and participation in the group presentation is required. Furthermore, each student is expected to individually complete and pass a quantitative data assignment prepared by the course responsible prior to the exam registration deadline.
- Aid
- All aids allowed
Use of Generative AI in Written Examinations at Global Development
At the MSc in Global Development, the use of generative AI software and Large Language Models (AI/LLMs), such as ChatGPT, is permitted in all written examinations categorized as ‘All Aids Allowed’. The use of generative AI/LLMs must, however, comply with the conditions outlined below:
- Generative AI/LLMs must never be used to generate new and original content, as written examinations are expected to reflect the student’s own knowledge and understanding of the subject matter.
- However, students are allowed to use generative AI/LLMs as an exam aid to enhance the presentation of their own original work, for example, for text editing, argument validation, or improving statistical code.
Regardless of how AI/LLMs are used, students must clearly disclose their use in an appendix, which will not count towards the overall length of the examination submission. This appendix must specify how the AI/LLMs were used and for what purpose(s).
Please note the specific requirements for quotations marks and source referencing when using GAI as an exam aid. Failure to provide proper attribution will be considered plagiarism.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
- Re-exam
-
If you fail an examination, you will be allowed two more attempts to pass the relevant course. The first re-examination will typically be scheduled immediately following the semester (February/August). The second re-examination will typically be scheduled in the following exam period.
If you need to sign up for a re-examination use the self service.
Criteria for exam assessment
Students are assessed to the extent to which they master the learning outcome for the course.
- Category
- Hours
- Lectures
- 24
- Preparation
- 96
- Practical exercises
- 50
- Seminar
- 24
- Exam
- 16
- English
- 210
Kursusinformation
- Language
- English
- Course number
- AGDK14001U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 1
- Capacity
- 60
- Studyboard
- Study Board for Global Development
Contracting department
- Department of Anthropology
- Department of Economics
- Department of Geoscience and Natural Resource Management
- Law
Contracting faculty
- Faculty of Social Sciences
Course Coordinator
- Henrik Hansen (13-6a6770746b6d306a63707567704267657170306d7730666d)
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