IDR302 Scientific Methods and Statistics
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Health and Sport Sciences
- Course Leader:
- Mette Stavnsbo
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
Teaching language
EnglishCourse contents
The emphasis is on theoretical and practical knowledge and skills related to scientific thinking and working methods, as well as scientific methods and statistics. The main points of the course are:
- Science and research-based knowledge
- Different science-theoretical traditions
- Central research design
- Quantitative and qualitative methods in research
- Validity in research
- Strengths and limitations in different research designs
- Descriptive and comparative statistics
- Presentation and interpretation of descriptive and comparative statistics
- Analysis programs for data processing and statistical analysis
- Research ethics
- Assessment of scientific work
Learning outcomes
On successful completion of the course, the student should
- have knowledge of scientific thinking and working methods
- be familiar with central science-theoretical traditions
- be familiar with relevant research designs within qualitative and quantitative research, including action research (interventions) and evaluation of actions
- have knowledge about relevant methods in qualitative and quantitative research
- be familiar with different types of validity in qualitative and quantitative research
- have knowledge about strengths and limitations in different research designs
- have basic knowledge of statistical concepts and analyses
- be able to perform descriptive statistical analyses, as well as present and interpret descriptive statistics
- have knowledge of research ethical issues within the respective areas
- be able to evaluate relevant articles with regard to research design, applied methods and statistics
Examination requirements
Approved course work requirements and participation in seminar groups and data lab work. The work requirements consist of a digital gate test in statistics and assessment of research design and methods in a course-specific scientific work.
Teaching methods
The work methods will mainly be web-based through digital modules, but also seminar groups (compulsory) and data labs (compulsory). A detailed overview of mandatory teaching and seminar groups is found in the Canvas semester plan. The course has a workload equivalent to 270 hours.
Evaluation
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Assessment methods and criteria
A two-day individual written home exam. The home exam will deal with an assessment of research design, applied methods and statistics in a course-specific scientific work. See more detailed description in the semester plan on Canvas. Graded assessment.