eventQualitative Methods (PhD Course open for Complementary Studies) [Qualitative Methods (PhD Course open for Complementary Studies)] (S)
person Elke Schüßler

Next appointment: 18. May at 10:15

Dates

single appointment | Mo, 13.04.2026, 10:15 - Mo, 13.04.2026, 17:45 | C 40.164 Seminarraum
single appointment | Mo, 27.04.2026, 10:15 - Mo, 27.04.2026, 17:45 | C 40.164 Seminarraum
single appointment | Mo, 18.05.2026, 10:15 - Mo, 18.05.2026, 17:45 | C 40.164 Seminarraum

Curriculum context

Combined academic performance
Presentation (20%)
Development of a research proposal (60%)
Review of a research proposal of another participant (20%)
Date of assessment: Wednesday, 30.09.2026
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
• Short presentations of key readings. • Development of a research proposal: formulating a research problem of your choice (preferably from your own research field) and developing a qualitative research design (approx. six pages). You should have a first discussable draft ready before our workshop. The final version should be handed in after the workshop. • Review of a research proposal of another participant (1-2 pages): In order to learn from each other I want you to write a constructive review of fellow person’s research proposal. Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Seminar
Vollständig Präsenz
2
central procedure for assignment of remaining places (with participant limit)
5

Registration

central procedure for assignment of remaining places (with participant limit)

Registration ends 07.4.2026 at 23:59 h

Persons

Content

Englisch
Qualitative Methods (PhD Course open for Complementary Studies)
none

Qualitative research is a research strategy that emphasizes large bodies of unstructured data (textual, graphical, audio, and video data) that cannot be meaningfully analyzed by formal, statistical approaches. Despite differences, qualitative research approaches share at least the following two assumptions: (1) by systematically generating and analyzing data new theory can be discovered (inductive view), and (2) this theory stresses the understanding of the socio-economic world through an examination of interpretation of that world by its participants. Since each particular research method is informed by different philosophical traditions, this course will first introduce different perspectives on the socio-economic research process like positivism, interpretativism, realism, and postmodernism. Students will then learn how to set up a qualitative research project using different research design perspective, e.g. a case study approach, an ethnographic study, grounded theory, or a discourse analysis approach.
In addition, the course will tackle different qualitative methods of data collection and analysis, including a reflection about practical and ethical considerations.
The course is designed for doctoral students and advanced master's students with a strong interest in research. Throughout the course, initiative, creativity, and critical thinking on part of the students will be appreciated and encouraged. The course aims to facilitate students' progress in their thesis project.

- Students gain an overview of the qualitative research process
- Students understand the potentials and conditions of use for different qualitative research methods and designs
- Students understand the typical biases and problems which tend to affect qualitative researchers
- Students know how to design and conduct an own empirical research study
- Students learn to use assess and use different sources of qualitative data such as archival data, online data or interview data
- Students practice how qualitative data can be analyzed, interpreted and documented

Evaluation

This course has not been registered for teaching evaluation yet.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

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