MSB207 Statistics and research ethics
Course description for academic year 2023/2024
Contents and structure
The students will learn how different types of knowledge and questions might be addressed via different statistical methods. The course will provide the students with a multiple of methods and provide them with adequate knowledge of the ethical dilemmas often faced by researchers at different stages of the research process.
Learning Outcome
Knowledge
Upon completion of the course, the student:
- has advanced knowledge about different quantitative research designs
- has advanced knowledge of quantitative statistical analysis.
- has knowledge of the ethical dilemmas often faced by researchers
Skills
Upon completion of the course, the student can:
- justify appropriate research designs for quantitative research projects.
- conduct analysis using quantitative research methods.
- interpret output from statistical analysis.
General Competence
Upon completion of the course, the student can:
- read, assess and use knowledge published in scientific literature.
- participate in large-scale research projects.
- participate in consultancy work in the areas like marketing strategies, innovation networks and consumer choice, when use of quantitative methods is a vital element.
- analyze relevant ethical problems in research.
Entry requirements
None
Recommended previous knowledge
None
Teaching methods
The teaching sessions consist of lectures and practice in datalab. Self-study and practice in the datalab are important elements of the course.
Compulsory learning activities
Mandatory assignment (arbeidskravet) consists of one written assignment made in groups of maximum two students. The mandatory assignment must be approved before the student is entitled to appear in the final exam.
Assessment
Exam:
Individual written exam, 4 hours
Grading scale is A-F were F is fail.
Examination support material
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