Course: Applications for Qualitative Data

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Course title Applications for Qualitative Data
Course code KSS/KLAZ
Organizational form of instruction Lecture + Tutorial + Seminary
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 7
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Jíšová Radmila, Mgr. Ph.D.
Course content
1. Data types and sources (audio, visual and textual) 2. Data collection and fieldwork exercises 3.-4. Data recording and security 5.-6. Data processing and coding 7. Data visualisation 8. Further analytical techniques 9. Research project 10. Writing as a method of analysis 11. Work with Qualitative data analysis software (QDAS) 12.-13. Research report

Learning activities and teaching methods
Students' portfolio, Skills demonstration, Task-based study method, Individual study, Textual studies, Lecture, Seminar, Practicum
  • Individual project (40) - 40 hours per semester
  • Contact hours - 78 hours per semester
  • Preparation for an examination (30-60) - 30 hours per semester
  • Undergraduate study programme term essay (20-40) - 34 hours per semester
prerequisite
Knowledge
to describe and explain basic sociological methods.
to describe the formation of sociological perspectives using sociological methods.
characterize the basic findings from empirical qualitative research.
to list and describe the basic developmental stages of the formation of qualitative methods.
Skills
to produce a formally acceptable professional output.
actively use foreign databases of professional journals.
to independently interpret the findings resulting from the application of sociological methods.
use adequate terms corresponding to the terminology of the field in Czech and English.
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to distinguish the variability of qualitative methods.
to interpret different theoretical approaches and their impact on different versions of the qualitative approach.
to characterize different types of conflicts in approaches to processing and analyzing qualitative data.
Skills
to classify different types of methodological nuances in the application of qualitative methods.
to independently process and analyse text, audio, image and video data using ATLAS.ti or MaxQda.
independently critically evaluate the qualitative data obtained.
to independently choose the appropriate theoretical and methodological approach in the application of the selected qualitative method.
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture
Seminar
Practicum
Task-based study method
Textual studies
Skills demonstration
Individual study
Students' portfolio
Skills
Lecture
Seminar
Practicum
Task-based study method
Textual studies
Skills demonstration
Individual study
Students' portfolio
Competences
Skills demonstration
Students' portfolio
Textual studies
assessment methods
Knowledge
Combined exam
Skills demonstration during practicum
Seminar work
Individual presentation at a seminar
Continuous assessment
Self-evaluation
Project
Skills
Combined exam
Skills demonstration during practicum
Seminar work
Individual presentation at a seminar
Project
Competences
Skills demonstration during practicum
Project
Recommended literature
  • Flick, Uwe; Kardorff, Ernst von; Steinke, Ines. A companion to qualitative research. London ; Sage Publications, 2004. ISBN 0-7619-7375-3.
  • VERBI Software. MAXQDA 2022. Getting Started Guide. Berlin. 2021.


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