Qualitative Research Methods (E)
Niveau
4th semester Master: 1st Study cycle
Learning outcomes of the courses/module
The students:
• are able to develop a qualitative research design.
• are able to develop an interview guide.
• are able to create transcripts.
• are able to conduct a qualitative content analysis.
• are able to use computer support for the implementation of a qualitative content analysis.
• are able to develop a qualitative research design.
• are able to develop an interview guide.
• are able to create transcripts.
• are able to conduct a qualitative content analysis.
• are able to use computer support for the implementation of a qualitative content analysis.
Prerequisites for the course
4. Semester Master: no information
Course content
I. Basics:
• Difference between qualitative and quantitative research
• Limitations of quantitative research
• Relevance of qualitative research
• Theoretical framework (positivism, constructivism, construction of knowledge, symbolic interactionism, ethnometh-odology, structuralist model, etc.)
• Types of data
• Texts and reality
II. Research design
• formulation of research questions and hypotheses
• selection and construction of research design
• planning the research process in qualitative research
• analysis of existing literature
• selection of sample/experts
III. Qualitative data analysis
• transcription and data management
• coding according to Grounded Theory
• use of software in qualitative content analysis
• presentation of results, objectification and discussion of results
• Difference between qualitative and quantitative research
• Limitations of quantitative research
• Relevance of qualitative research
• Theoretical framework (positivism, constructivism, construction of knowledge, symbolic interactionism, ethnometh-odology, structuralist model, etc.)
• Types of data
• Texts and reality
II. Research design
• formulation of research questions and hypotheses
• selection and construction of research design
• planning the research process in qualitative research
• analysis of existing literature
• selection of sample/experts
III. Qualitative data analysis
• transcription and data management
• coding according to Grounded Theory
• use of software in qualitative content analysis
• presentation of results, objectification and discussion of results
Recommended specialist literature
Krell, C., & Lamneck, S. (2024). Qualitative Sozialforschung: Mit Online-Material. Weinheim: Beltz.
Mayring, P. (2023). Einführung in die qualitative Sozialforschung. Weinheim: Beltz.
Mayring, P. (2022). Qualitative Inhaltsanalyse: Grundlagen und Techniken. Weinheim. Beltz.
Strübing, J. (2024). Qualitative Sozialforschung: Eine komprimierte Einführung. Berlin/Boston: Walter de Gruyter.
Mayring, P. (2023). Einführung in die qualitative Sozialforschung. Weinheim: Beltz.
Mayring, P. (2022). Qualitative Inhaltsanalyse: Grundlagen und Techniken. Weinheim. Beltz.
Strübing, J. (2024). Qualitative Sozialforschung: Eine komprimierte Einführung. Berlin/Boston: Walter de Gruyter.
Assessment methods and criteria
Homework
Language
English
Number of ECTS credits awarded
1
Semester hours per week
Planned teaching and learning method
The course, which is mostly dialog-oriented, usually consists of the triad of practical relevance, academic structuring, and the independent development of integrative case studies from immediate professional and consulting practice.
Semester/trimester in which the course/module is offered
4