GRA 2243 Research Methodology for Organisational Behaviour

GRA 2243 Research Methodology for Organisational Behaviour

Course code: 
GRA 2243
Leadership and Organizational Behaviour
Course coordinator: 
Morten Nordmo
Course name in Norwegian: 
Research Methodology for Organisational Behaviour
Product category: 
MSc - Core course
2023 Spring
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

The purpose of this course is threefold. First, to provide students with knowledge and skills that enable them to conduct high quality research in their thesis projects. Second, to guide students towards becoming critical readers and users of OB research. Third, in their future professional careers to design and carry out applied research projects for organizations.

The course is process-oriented and has an applied focus, where students are initially given a general introduction to research methodology covering issues in both quantitative and qualitative methodology, the philosophy of science, theories of knowledge and knowledge development, research ethics, and learn to search and critically examine sources for scientific knowledge. Students are also trained in critical evaluation of research conducted by others as well as their own research

Learning outcomes - Knowledge
  • Concepts and tools to collect and analyse data
  • Strengths and weaknesses of different methodologies and data sources
  • Knowledge about appropriate research designs (ways to conduct research) to answer different types of questions
  • Practical knowledge on statistical inference, estimation, and hypothesis testing

Learning outcomes - Skills
  • Methods for information harvesting and search
  • Critically evaluating information sources
  • Compare and critique different research designs and research methods
General Competence
  • Ethical issues and dilemmas in business research
  • Reflecting on threats to reproducibility, the role of researcher degrees of freedom and pre-registration

  • Critical thinking in evaluating the research process and outcomes
Course content

The learning outcomes will be realized by twelve course components consisting of:

1. Introduction to OB research 

2. Research questions and designs 

3. Literature search 

4. Hypothesis testing, estimation, and inference 

5. Measurement and cross-sectional designs  

6. Experimental designs 

7. Writing up quantitative studies 

8. Applying quantitative methods in industry

9. Interviewing

10. Qualitative analysis

11. Case study

12. Research ethics

Teaching and learning activities

The course consists of a combination of lectures, class discussions and a research design seminar. Videos that describe a step-by-step guide to converting research questions into statistical tests supplement the traditional lectures. 

During the semester there will also be additional Thesis Seminars to guide the students towards writing a Thesis Proposal. These sessions are complimentary to the course. 

Research Methodology is a very important course in the MSc Programme as the course is central to the thesis work. Please make sure you read the information about the thesis work in the student portal.

Software tools
No specified computer-based tools are required.
Additional information

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.

This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course starts.

At resit, all exam components must, as a main rule, be retaken during next scheduled course.


All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.


Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.


Required prerequisite knowledge

A Bachelor's degree qualifying for admission to the Master programme. Students should have basic knowledge in methods and statistics and in the use of library sources and search techniques.

Exam category: 
Form of assessment: 
Written submission
Group/Individual (1 - 3)
1 Week(s)
Library assignment
Exam code: 
GRA 22431
Grading scale: 
Point scale leading to ECTS letter grade
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Form of assessment: 
Written submission
Support materials: 
  • Bilingual dictionary
3 Hour(s)
Written examination under supervision.
Exam code: 
GRA 22431
Grading scale: 
Point scale leading to ECTS letter grade
All components must, as a main rule, be retaken during next scheduled course
Type of Assessment: 
Continuous assessment
Grading scale: 
Total weight: 
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.