Programplaner og emneplaner - Student
ØAMET4000 Applied Statistical Methods Course description
- Course name in Norwegian
- Statistiske metoder
- Study programme
-
Master Programme in Business Administration
- Weight
- 10.0 ECTS
- Year of study
- 2022/2023
- Curriculum
-
FALL 2022
- Schedule
- Programme description
- Course history
-
Introduction
The course builds on a course in social science research methods at bachelor's degree level and a foundation course in statistical methodology. Knowledge of spreadsheets (such as Excel) or database programs is an advantage. This course is a compulsory common course that students are recommended to take in the first semester of the programme. Through a series of exercises, students develop their skills in practical use of quantitative data.
Required preliminary courses
None
Learning outcomes
Knowledge
The student
- in-depth knowledge of relevant analysis methods
- insight into the use of quantitative data in academic work and professional life
- an understanding of how models are used in social sciences, and is capable of relating research questions, context and data to the choice of method
Skills
The student is capable of
- analysing quantitative data to answer research questions
- planning own quantitative research and assess the results of others
Content
The research process:
- Use of models
- Forms of validity, causality
- Reporting and presentation
About quantitative data:
- Different data sources: experiment, survey, naturally occurring data and register data
- Multi-item measures
Teaching and learning methods
Varied forms of teaching will be used, and the course will combine lectures, guest lectures, class discussions and practical computer exercises.
Course requirements
Five assignments for submission to be prepared by groups of up to five students. The total scope of the submissions shall not exceed 20 pages. All the assignments must be approved before a student can sit the exam in the course. If the assignments are not approved, the student will be given one opportunity to submit a new or improved version. The lecturer will inform students about the deadlines for submission.
Assessment
Written (four hour) exam is held at the end of the semester.
Permitted exam materials and equipment
Calculator (see separate regulations).
Grading scale
A grade scale with grades from A to E for pass and F for fail is used.
Examiners
An external examiner will grade the exam papers together with an internal examiner.