Theory of Science, methods and statistics (IDR332)
In this course, students will receive a basic introduction to (i) the philosophy of science, (ii) various scientific methods related to sports research, and (iii) fundamental statistical concepts and data processing.
The course serves as a foundation for writing and interpreting scientific literature and is a mandatory requirement for writing the Bachelor's thesis.
Course description for study year 2025-2026. Please note that changes may occur.
Course code
IDR332
Version
1
Credits (ECTS)
15
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
Norwegian
Content
- Theoretical foundation of various scientific traditions
- Research ethics
- Key study designs and measurement methods (observation, questionnaires, interviews, measurements)
- Validity and reliability
- Basic statistical concepts and analyses
- Basic methods for text analysis
- Academic writing, literature search, and referencing
- Software: Microsoft Excel, Nvivo, and IBM SPSS
Learning outcome
Knowledge
The candidate should have knowledge of:
- Fundamental central issues in the philosophy of science
- Research ethics guidelines
- Scientific methods related to sports research
- Basic statistical concepts and analyses
- Analyses of qualitative research interviews
Skills
The candidate should be able to:
- Formulate research questions (problem statements) and hypotheses based on theory and previous research: This skill is essential in various professions where problem-solving and research are central, such as market analysis, product development, and academic or applied research roles.
- Analyze and interpret qualitative data using Nvivo: Proficiency in qualitative data analysis is highly relevant in fields such as human resources, marketing, user experience research, and social sciences, where understanding human behavior and attitudes is crucial.
- Analyze, present, and interpret descriptive statistics: The ability to work with statistics is valuable in professions that involve data-driven decision-making, such as business analysis, healthcare, economics, and sports performance analysis.
- Present qualitative and quantitative data in a clear and structured manner: Effectively presenting data is a key skill in business, research, and education, where clear communication of findings is important for stakeholders and decision-makers.
- Use SPSS and Excel for appropriate statistical calculations: Skills in these software programs are broadly applicable in fields such as finance, healthcare, sports science, and academic research, where statistical analysis is a core task.
- Write reports with formatting and referencing according to current standards: The ability to produce professional reports is critical in many sectors, including academia, consultancy, and any roles involving the presentation of research findings or project results to stakeholders.
General Competence
The candidate should be able to:
- Communicate and discuss ethical considerations related to research
- Apply the main principles of scientific thinking and methods
- Critically evaluate various written sources with regard to methodological challenges and the use of statistics
Required prerequisite knowledge
Exam
Written exam and semester assignment
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 1/2 | 3 Hours | Passed / Not Passed | |
Semester assignment | 1/2 | 10 Weeks | Passed / Not Passed |
Scope of the home exam: 4000 words +/- 10%
Coursework requirements
Mandatory Attendance (80%)
Student presentations and assignments in this course require active guidance, and thus it is expected that students participate actively in the teaching. Developing the bachelor's thesis necessitates ongoing dialogue with schools, selected students, and conducting fieldwork. Students are required to engage thoroughly with the course material, as this is an integral part of the educational process. Therefore, a minimum of 80% attendance in the classes is required.
Six individual assignments/student presentations will be prepared. These assignments are designed to help students complete the home exam, which has a scope of 4000 words +/- 10%. The assignments will be carried out during class sessions.
Course teacher(s)
Course coordinator:
Shaher Ahmmad Ibrahim ShalfawiCourse teacher:
Shaher Ahmmad Ibrahim ShalfawiCourse teacher:
Sebastian Schanche SandgrenStudy Program Director:
Gaute Sørensen ScheiStudy Adviser:
Ivar BjørnsenMethod of work
Lectures, group work, student presentations, and self-study.
The scheduling of student activities for 15 ECTS = 413 hours of activity.