The goal of this course is to equip students with the intellectual baggage necessary for the design, execution, and publication of truly excellent qualitative research studies.
Course Description
The following topics are covered in this course in 4 consecutive weeks: (1a) qualitative “versus” quantitative research; (1b) measurement and operationalization in qualitative research settings; (2a) data collection: interviews, participant observation, textual documents, unobtrusive data, and visual materials; (2b) data analysis: data reduction, causal inference, and qualitative data analysis software (NVivo, Atlas.ti, fs/QCA, et cetera); (3a) ethnography; (3b) grounded theory methods; (4a) case study methods; and (4b) content analytical methods and discourse analysis.
Central to this course is that students acquire an advanced understanding of the qualitative research process in general, and of several commonly used qualitative research designs in particular. Students are also expected to get acquainted with and learn how to use qualitative data analysis programs, such as NVivo, Atlas.ti, DICTION, fs/QCA, or MAXCDQ.
For the course manual please click here.
Study Characteristics
- Study period: November 2023 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- Registration deadline: 16-10-2023 (early bird registration: 2-10-2023)
- Recommendation: This is an ideal course for first year students.
- This course will be offered in cooperation with the Erasmus Research Institute of Management (ERIM): https://www.erim.eur.nl/doctoral-programme/courses/detail/3685-qualitative-methods/
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Course Description & Study Characteristics
Course Description
The following topics are covered in this course in 4 consecutive weeks: (1a) qualitative “versus” quantitative research; (1b) measurement and operationalization in qualitative research settings; (2a) data collection: interviews, participant observation, textual documents, unobtrusive data, and visual materials; (2b) data analysis: data reduction, causal inference, and qualitative data analysis software (NVivo, Atlas.ti, fs/QCA, et cetera); (3a) ethnography; (3b) grounded theory methods; (4a) case study methods; and (4b) content analytical methods and discourse analysis.
Central to this course is that students acquire an advanced understanding of the qualitative research process in general, and of several commonly used qualitative research designs in particular. Students are also expected to get acquainted with and learn how to use qualitative data analysis programs, such as NVivo, Atlas.ti, DICTION, fs/QCA, or MAXCDQ.
For the course manual please click here.
Study Characteristics
- Study period: November 2023 (Period 2)
- Credits: 5 ECTS
- Tuition fee: €1250 (20% discount for early bird registration)
- Registration deadline: 16-10-2023 (early bird registration: 2-10-2023)
- Recommendation: This is an ideal course for first year students.
- This course will be offered in cooperation with the Erasmus Research Institute of Management (ERIM): https://www.erim.eur.nl/doctoral-programme/courses/detail/3685-qualitative-methods/
Would you like to register or want to know more?
Please register with the Apply Now button at the top of this page. For more info please contact the course coordinator prof. dr. Pursey Heugens: