Qualitative Methods: Case Study Research (R-Module)
Exam number: 6817
Semester: from 1st semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Each summer semester
Prerequisites: Spots are limited. To get enrolled, it is necessary to apply in the introductory session. If there are more applicants than spots, the selection will be based on previously completed courses at our chair (identical to the selection process for final theses). Participation in the landscape seminar "New Perspectives in Management Theory" in the same semester is recommended.
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Dr. Jochen Koch
Name of the professor: Prof. Dr. Jochen Koch
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (Lecture, tutorial etc.) 48 h; self-study: 132 h
Contact hours (per week in semester): 4
Methods and duration of examination:
Thesis on the practice of analyzing data
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
1. To familiarize students with the epistemological background of (empirical) research.
2. To sensitize students to the challenges of qualitative research.
3. To enable students to provide a high quality of qualitative data analysis, including data interpretation and presentation.
4. To enable students to evaluate and interpret the quality of qualitative research designs.
Contents of the module:
Introduction to research methods and theory of knowledge, including epistemology and ontology
Case study as a method
The research process: From the research question to reporting research results; special focus on the practice of qualitative data analysis, e.g., video data: Data preparation, coding, interpretation, and presentation
Teaching and learning methods:
Seminar; individual study for preparation and follow-ups
Literature (compulsory reading, recommended literature):
Yin, R. K. latest edition. Case study research: Design and methods. Thousand Oaks, CA: Sage Publications.
Registration in the first session. Personal presence in the first session is required.