Course description for 2026/27
Quantitative analysis
PRO9022
Course description for 2026/27
Quantitative analysis
PRO9022
The course provides a practical introduction to analysis. It is a continuation of PRO9020 Design and Method, and prepares the candidate for independent analysis of quantitative data.
The main objective is to provide the candidate with in-depth knowledge of various theoretical perspectives and principles of quantitative analysis, as well as skills in specific analytical approaches such as factor and regression analyses. The course combines theory and practical data analysis. The goal is also for the candidate to be able to critically reflect on different approaches to quantitative research.
A scientific master's degree of 120 ECTS credits is normally required. Students in the Ph.D. program in professional science are prioritized. The course can also be taken by students in other Ph.D. programs. See here for the ranking regulations.
A master's degree of 120 credits is normally required. Students on the PhD programme Science of Professions are prioritised. The course can also be taken by students in other PhD programmes. In addition, participants must either have a proposal for a PhD thesis, or a outline for a research project, that they can use and continue working with during the course.
Knowledge
The candidate:
- Is at the forefront of knowledge in quantitative analysis and can apply advanced statistical methods to empirical data to generate new insights.
- Can discuss complex methodological issues related to validity, reliability, and generalization, and critically reflect on how these affect research results.
Skills
The candidate:
- Can handle complex professional questions related to the analysis of quantitative data by using relevant statistical tools and software,and interpret the results accurately in light of theoretical and methodological frameworks.
- Can identify, analyze, and handle complex professional questions, and develop new insights through critically challenging established knowledge and practices when conducting quantitative analysis.
General Competence
The candidate:
- Can critically discuss and take a stance on the use of various quantitative approaches, identify relevant ethical issues, and conduct their research with professional integrity.
- Has the competence to assess the quality of research based on quantitative approaches.
- Can communicate research and development work through recognized national and international channels and participate in debates within the field in international forums.
No tuition fees. Semester fees and cost of course literature apply.
Elective
Digital teaching in the form of lectures, discussions, and work with statistical data using statistical software. The course will be practically oriented through the analysis of own or borrowed data. The lectures will largely be based on exemplary experiences from one's own analysis.
Teaching spring 2026:
- Digital classes.
- Week 15: Wednesday 8.4, and Thursday 9.4
- Week 16: Tuesday 14.4 and Wednesday 15.4
Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer, is considered cheating.
- OD – Mandatory attendance 80%
- MA – Portfolio (MA) – consisting of an assignment related to the candidate's Ph.D. project. Grades: Pass/Fail
The candidate must have prior knowledge in design and method, equivalent to PRO9020 Design and Method, 5 ECTS credits.
Overlap refers to a similarity between courses with the same content. Therefore, you will receive the following reduction in credits if you have taken the courses listed below:
PRO9013 - Design and Methods - 2.5 credits
Course language
English
Credits
2.5
Study location
Online
Teaching semesters
Spring 2026
Responsible faculty
The Faculty of Education and Arts
Course coordinator
