FF:PGM106 Analysis of Qualitative data - Course Information
PGM106 Analysis of Qualitative data
Faculty of ArtsAutumn 2023
- Extent and Intensity
- 0/2/0. 6 credit(s). Type of Completion: z (credit).
- Teacher(s)
- prof. Mgr. Klára Šeďová, Ph.D. (lecturer)
Mgr. Roman Švaříček, Ph.D. (lecturer) - Guaranteed by
- prof. Mgr. Klára Šeďová, Ph.D.
Department of Educational Sciences – Faculty of Arts
Contact Person: Mgr. Roman Švaříček, Ph.D.
Supplier department: Department of Educational Sciences – Faculty of Arts - Timetable
- Fri 24. 11. 8:00–16:40 B2.33, Fri 8. 12. 8:00–12:40 B2.33
- Prerequisites
- PAM005 Qualitative Research || PAN005 Qualitative Research || PBM007 Qualitative survey || PBSNJA1 Qualitative survey || PGMK007 Qualitative research || PGM007 Qualitative research
PGM007 - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 2/10, only registered: 1/10 - fields of study / plans the course is directly associated with
- Pedagogy (programme FF, N-PG_) (2)
- Course objectives
- The set of lectures and seminars deals with theory and practice of work with qualitative data. The course offers an introduction to various methodological approaches. Proceedings of qualitative analysis and interpretation will be rather discussed from a perspective of a scholar treating a concrete qualitative project. A special focus is on interconnection of theoretical issues and analytical skills. The course will be based on using actual qualitative data sets and qualitative analysis programme Atlas/ti, its mastering is one of the course aims.
- Learning outcomes
- Upon completion of the course students will be able to: Distinguish various types of qualitative data analysis. Choose an adequate analytic approach for a research project. Use advanced analytic techniques. Work with Atlas/ti software.
- Syllabus
- 1. Introduction to software Atlas/ti. Data digitalization, advantages and disadvantages. 2. Quality of research. 3. Data analysis in case studies. 4. Data analysis in grounded theory. 5. Data analysis in biographic research. 6. Narrative analysis. 7. Situational analysis. 8. Advanded tools in Atlas/ti software. 9. Using advanced tools and techniques in a research project.
- Literature
- recommended literature
- Grounded theory and situational analysis. Edited by Adele Clarke - Kathy Charmaz. First published. Los Angeles: Sage, 2014, xii, 379. ISBN 9780857027801. info
- Biographical research methods. Edited by Robert C. Miller. London: SAGE Publications, 2005, l, 367. ISBN 1412902290. info
- CLARKE, Adele. Situational analysis : grounded theory after the postmodern turn. Thousand Oaks: Sage, 2005, xli, 365. ISBN 0761930566. info
- YIN, Robert K. Case study research: Design and methods. Thousand Oaks: SAGE Publications, 2003. info
- FLICK, Uwe. An Introduction to qualitative research. 1st ed. London: SAGE Publications, 1999, 293 s. ISBN 0-7619-5587-9. info
- STRAUSS, Anselm and Juliet CORBINOVÁ. Základy kvalitativního výzkumu : postupy a techniky metody zakotvené teorie. Vyd. 1. Boskovice: Albert, 1999, 196 s. ISBN 80-85834-60-X. info
- RIESSMAN, Catherine Kohler. Narrative analysis. Newbury Park: SAGE Publications, 1993, vii, 79 s. ISBN 0-8039-4753-4. info
- Teaching methods
- Seminář, práce na vlastním výzkumném projektu
- Assessment methods
- final defence of a research project
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught each semester.
- Enrolment Statistics (Autumn 2023, recent)
- Permalink: https://is.muni.cz/course/phil/autumn2023/PGM106