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233050 SE Analysing and Reporting Qualitative Data (2025S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 30.01.2025 10:00 to We 19.02.2025 23:59
- Deregistration possible until Sa 15.03.2025 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- N Tuesday 04.03. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien (Kickoff Class)
- Tuesday 25.03. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Tuesday 01.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Tuesday 29.04. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Tuesday 06.05. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Tuesday 10.06. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
- Tuesday 17.06. 16:00 - 19:00 Seminarraum STS, NIG Universitätsstraße 7/Stg. II/6. Stock, 1010 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
To successfully complete the seminar, students are required to fulfill the following tasks:
• Active Participation: Students are expected to actively engage in seminars and group work. This includes presenting and discussing key points from the required readings, as well as uploading discussion points to Moodle ahead of each class.
• Data Contribution: In the later sessions, student groups will provide qualitative data for in-class group analysis. Groups will be responsible for gathering data and preparing it for analysis in a manner that ensures usability and relevance.
• Final Paper: Each student will submit a 3,000–3,500-word paper reporting on a qualitative analysis they have conducted. The paper should include a detailed description of the methods applied, the main findings, and a critical reflection on the analysis process. Papers must be submitted via Moodle by July 31.
• Active Participation: Students are expected to actively engage in seminars and group work. This includes presenting and discussing key points from the required readings, as well as uploading discussion points to Moodle ahead of each class.
• Data Contribution: In the later sessions, student groups will provide qualitative data for in-class group analysis. Groups will be responsible for gathering data and preparing it for analysis in a manner that ensures usability and relevance.
• Final Paper: Each student will submit a 3,000–3,500-word paper reporting on a qualitative analysis they have conducted. The paper should include a detailed description of the methods applied, the main findings, and a critical reflection on the analysis process. Papers must be submitted via Moodle by July 31.
Minimum requirements and assessment criteria
Assessment will focus on students’ ability to demonstrate analytical rigor, critical reflection, and engagement with qualitative methods, both in practice and in written form. Points will be allocated as follows:- Active Participation: 35 points (e.g., preparation for discussions, quality of contributions, and timely submission of discussion points on Moodle)
- Data Contribution: 25 points (e.g., relevance, preparation, and presentation of qualitative data for group analysis)
- Final Paper: 40 points (e.g., clarity of writing, rigor of analysis, and depth of reflection)To pass the course, students must achieve a total of at least 50 points. Grading will be based on the following scheme:100–89 points: Very Good (1)
88–76 points: Good (2)
75–63 points: Satisfactory (3)
62–50 points: Sufficient (4)
49–0 points: Insufficient (5) (Fail)
- Data Contribution: 25 points (e.g., relevance, preparation, and presentation of qualitative data for group analysis)
- Final Paper: 40 points (e.g., clarity of writing, rigor of analysis, and depth of reflection)To pass the course, students must achieve a total of at least 50 points. Grading will be based on the following scheme:100–89 points: Very Good (1)
88–76 points: Good (2)
75–63 points: Satisfactory (3)
62–50 points: Sufficient (4)
49–0 points: Insufficient (5) (Fail)
Examination topics
Reading list
Association in the course directory
Last modified: Tu 14.01.2025 16:06
Students will master essential techniques, including coding, categorizing, and memo-writing, and explore their role within approaches such as thematic analysis and grounded theory. We will also examine strategies for analyzing data in ways that capture its procedural and sequential nature. The course emphasizes the critical roles of theory and researcher reflexivity in the analytical process.
The teaching approach is highly interactive and hands-on, treating qualitative data analysis as an art that develops through practice. While readings and inputs will guide discussions, the primary focus will be on group analysis in class. Students who have already begun their master's theses are encouraged to bring their own data for collaborative analysis, while those yet to start can work with provided datasets or those shared by their colleagues.
By the end of the course, students will have gained the skills and confidence to conduct rigorous qualitative analyses and effectively communicate their findings.