Objectives and Content
On completion of this course the students should have the following learning outcomes defined in terms of knowledge, skills and general competence:
The student will have in-depth knowledge of:
- Different knowledge paradigms and explanatory models, and their implications for choice of methodological strategy
- Key concepts and theories within quantitative and qualitative methodologies, mixed methods.
- Ethical principles in research and their application in quantitative and qualitative research
- The requirements for the master's thesis proposal
- The appropriate use of a range of statistical methods/techniques
- The interpretation of statistical analysis
The student has the ability to:
- Pose study questions that can be addressed using statistical methods, e.g., hypothesis testing
- Model data using alternative approaches and decide on final approaches to an analysis
- Annotate and interpret output from statistical analyses
- Format tables and graphs that present statistical analyses
- Design a research project and write a project plan
By the end of the course the student:
- Can critically, analytically and systematically evaluate research literature (in both qualitative and quantitative methods)
- Can think critically, reflectively and creatively about statistical analysis
- Has methodological competencies for statistics-related skills problem-solving
- Can choose appropriate statistical analyses given the nature of the study data
Level of Study
Semester of Instruction
Required Previous Knowledge
Access to the Course
Teaching and learning methods
Compulsory Assignments and Attendance
All activities must be completed and approved before the student's final exam kan be evaluated.
Forms of Assessment
Home exam, 5 days.
NOTE: Text generated by ChatGPT and other AI text generators is not permitted in the submitted written work.