Learning outcomes
After completing the course, the doctoral student understands the basics of analysing qualitative research data and knows how to analyse her/his own data critically, efficiently and thoroughly so that her/his research will produce new scientific knowledge. S/he is able to use the methods and software for qualitative research data analysis and is capable of independent study to learn more about their properties and the possibilities they open up. S/he recognises the possibilities and limitations of the data and the method and, when necessary, is able to develop the analysis method so that it can serve the research task better. The doctoral student is able to describe the analysis process and illustrate the different stages of the research.
Contents
Several different courses can be offered under this heading. The courses look at the analysis methods of qualitative data and the various software, which can be used to manage, classify and code different types of qualitative data. The doctoral students are instructed on the different characteristics and ways the various methods can be used, and they are also given the chance to practice their use. The doctoral students are usually instructed on how to apply the methods to their doctoral research and they have a chance to practice them in the course.
Teaching language
English, FinnishModes of study
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Evaluation
Pass/fail.Belongs to following study modules
2018–2019
