Course: Data Analysis in Qualitatie Research

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Course title Data Analysis in Qualitatie Research
Course code CV/DANAL
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kalenda Jan, doc. Mgr. Ph.D.
  • Karger Tomáš, Mgr. Ph.D.
Course content
- Data analysis in inductive approach. - Open coding. Types of codes and work with them. - Thematic analysis. - Phenomenological analysis. - Grounded theory of Strauss and Corbin. - Grounded Charmas theory. - Clarke's grounded theory. - Research study based on qualitative research.

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Dialogic (Discussion, conversation, brainstorming), Text analysis
  • Home preparation for classes - 96 hours per semester
  • Preparation for examination - 96 hours per semester
  • Participation in classes - 12 hours per semester
  • Term paper - 96 hours per semester
prerequisite
Knowledge
not specified
not specified
learning outcomes
current trends in data analysis in qualitative research
current trends in data analysis in qualitative research
current debates/discurses on the interpretation and analysis of qualitative data
current debates/discurses on the interpretation and analysis of qualitative data
various heuristic strategies (phenomenological approach, interactionist concepts, grounded theory, and discursive analysis)
various heuristic strategies (phenomenological approach, interactionist concepts, grounded theory, and discursive analysis)
Skills
apply advanced data analysis using specialized software (e.g., Atlas.ti, MAXQDA),
apply advanced data analysis using specialized software (e.g., Atlas.ti, MAXQDA),
interpret qualitative data
interpret qualitative data
draw conclusions based on the data obtained
draw conclusions based on the data obtained
formulate practice recommendations and apply them
formulate practice recommendations and apply them
teaching methods
Knowledge
Monologic (Exposition, lecture, briefing)
Text analysis
Dialogic (Discussion, conversation, brainstorming)
Dialogic (Discussion, conversation, brainstorming)
Text analysis
Monologic (Exposition, lecture, briefing)
assessment methods
Composite examination (Written part + oral part)
Composite examination (Written part + oral part)
Recommended literature
  • Clarke, A. From Grounded Theory to Situational Analysis. What?s new? Why? How?. Thousand Oaks, CA: Sage, 2015.
  • Corbin, J., & Strauss, A. Basics of qualitative research. Thousand Oaks, CA: Sage, 2008.
  • Creswell, J. W. Research design: qualitative, quantitative and mixed methods approaches. Thousand Oaks: Sage, 2014.
  • Gavora, P. Sprievodca metodológiou kvalitatívneho výskum. Bratislava: Vydavateľstvo Univerzity Komenského, 2007.
  • Gubrium, J. et al. The SAGE Hanbook of Interview Research, The Complexity Of the Craft. Thousand Oaks, CA: Sage, 2012.
  • Hendl, J. Kvalitativní výzkum. Praha: Portál, 2007.
  • Charmaz, K. Constructing Grounded Theory. London: Sage, 2006.
  • Loseke, D. R. Methodological Thinking Basic Principles of Social Research Design. Thousand Oaks, CA: Sage, 2016.
  • Reichel, J. Kapitoly metodologie sociálních výzkumů. Praha: Grada, 2009.
  • Wiegerová, A. The careers of young Czech University teachers in the Field of Pedagogy. Zlín: UTB, 2016.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester