Scientific Writing and Qualitative Research Methods
Brief description
Requirements for and quality of literature reviews
Philosophy of science and research ethics
Generative AI in the research process
Development of research questions and designs
Method selection and justification
Practical application of qualitative methods
Critical reflection and interpretation of results in qualitative social research
Mode of delivery
face to face
Type
compulsory
Recommended or required reading and other learning resources/tools
Braun, V., & Clarke, V. (2022). Thematic Analysis: A Practical Guide. Sage.
Flick, U. (2014). Sozialforschung, Methoden und Anwendungen; ein Überblick für die BA-Studiengänge. Rowohlt.
Flick, U. (2016). Qualitative Sozialforschung: Eine Einführung (Originalausgabe, vollständig überarbeitete und erweiterte Neuausgabe, 7. Auflage). Rowohlt Taschenbuch Verlag.
Przyborski, A., & Wohlrab-Sahr, M. (2014). Qualitative Sozialforschung: Ein Arbeitsbuch (4. Aufl.). Oldenbourg. https://doi.org/10.1524/9783486719550
Planned learning activities and teaching methods
Lecture, discussion, project work, presentation, feedback, e-learning, self-organised learning
Assessment methods and criteria
Continuous assessment, research design, presentation and final written exam
Prerequisites and co-requisites
none
Infos
Degree programme
Digital HR & angewandtes Arbeitsrecht
Cycle
Master
ECTS Credits
3.00
Language of instruction
German
Curriculum
Part-Time
Academic year
2025
Semester
2 SS
Incoming
No
Learning outcome
After successful completion of the course, the students can
Describe the requirements for academic literature reviews and critically evaluate their quality.
Identify, classify, and apply theoretical foundations of science in the context of qualitative research.
Assess how generative AI can be used ethically and methodologically correctly in various phases of the research process.
Formulate research questions for qualitative research projects and create an appropriate research design based on them.
Select suitable methods for data collection and analysis and justify their choice based on theoretical and methodological principles.
Independently apply qualitative research methods and analyze texts using text analysis software (MAXQDA).
Interpret, present, discuss, and critically reflect on the results of qualitative research projects.
Course code
1705-21-01-BB-DE-21