Research Methods
Postgraduate course
- ECTS credits
- 15
- Teaching semesters
- Spring
- Course code
- MAPSYK302
- Number of semesters
- 1
- Teaching language
- English and/or Norwegian
- Resources
- Schedule
- Reading list
Course description
Objectives and Content
Learning Outcomes
Knowledge
The student can...
- Critically discuss key characteristics of different research paradigms.
- Understand the choice of research topic and problem and their significance for design and methods for data collection.
- Differentiate between different analyzes and know when they can and should be used.
- Dealing with key ethical considerations linked to the implementation of a project.
Skills
The student can...
- Choose a research topic and design issues that can be investigated using research methods.
- Design a research scheme that includes the collection and production of data.
- use standard computer software.
- Select and carry out adequate analyzes of data.
General competence
The student can...
- Make research strategic decisions in psychological research.
- Carry out a research project in line with current ethical standards and guidelines.
- Reflect on ethical dilemmas and challenges in psychological research and being compliant in research.
ECTS Credits
Level of Study
Semester of Instruction
Place of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
Access to the Course
Registration for the course requires admission to the master's program in psychology and the master's program in work and organizational psychology.
For exchange students, the student has to be accepted in an exchange program at the University of Bergen.
Teaching and learning methods
Compulsory Assignments and Attendance
Oral group presentation:
A mandatory oral presentation for the group assignment, where all group members must participate on the scheduled presentation day.
Submission of assignments:
For each lab session, students must submit assignments, four in total. These assignments contain practical exercises related to statistical analysis methods covered in the lab.
Mandatory attendance:
Attendance is mandatory for the lab sessions and the presentation day.
Forms of Assessment
Assessment form:
The assessment consists of a portfolio evaluation and an oral exam. Each part counts for 50% of the total grade, and both parts must be passed.
If a student fails one of the exams, only the exam that was not passed needs to be retaken. The course is assessed as pass/fail.
Portfolio exam (50%):
The portfolio exam consists of two individual assignments that focus on both theoretical concepts and research methods, as well as experimental design.
Final oral exam (50%):
An oral exam with a focus on statistics and research methods.
Grading Scale
Assessment Semester
Reading List
The literature list will be ready by 01.07 for the autumn semester and 01.12 for the spring semester.
The literature is in English, to reflect the research-oriented profile of this course