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Intro to Qualitative Research in Business & Manag.

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.

Prof. dr. Pursey Heugens

Prof. dr. Pursey Heugens

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.

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. The emphasis in this course will be on getting acquainted with: (a) the canonical steps of the qualitative research process in general, and (b) four exemplary qualitative research designs in particular.

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 MAXQDA.

Please registrer via the website of Erim. 

For the course manual please click here.

Study Characteristics

  • 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.

    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. The emphasis in this course will be on getting acquainted with: (a) the canonical steps of the qualitative research process in general, and (b) four exemplary qualitative research designs in particular.

    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 MAXQDA.

    Please registrer via the website of Erim. 

    For the course manual please click here.

    Study Characteristics

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:

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