Course: Data Analysis in Qualitative Research

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Course title Data Analysis in Qualitative Research
Course code USP/PK4AD
Organizational form of instruction Consultation + E-learning + Seminary
Level of course Master
Year of study 2
Semester Summer
Number of ECTS credits 2
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)
  • Navrátilová Hana, PhDr. Ph.D.
Course content
- Character, form and types of data in qualitative research. - Data management: data storage and organization. - Analysis procedure. Multiple analytical reading. Open coding. - Grouping data into concepts / categories. Definition of categories. - Graphical representation of relationships between categories of different levels. - Annotations when analyzing data. Types of notes. - Types of analyzes: thematic analysis, types of grounded theories. - Computer programs for the analysis of qualitative data. - Writing a research report and publishing it.

Learning activities and teaching methods
Exercises on PC, Text analysis, Individual work of students
  • Participation in classes - 10 hours per semester
  • Preparation for course credit - 30 hours per semester
  • Term paper - 20 hours per semester
prerequisite
Knowledge
unspecified
unspecified
learning outcomes
modes and techniques of qualitative data collection
modes and techniques of qualitative data collection
methodological consequences of the nature of qualitative data
methodological consequences of the nature of qualitative data
open coding, axial coding, selective coding
open coding, axial coding, selective coding
procedures in narrative analysis and interpretative phenomenological analysis
procedures in narrative analysis and interpretative phenomenological analysis
reporting the findings of qualitative data analysis
reporting the findings of qualitative data analysis
Skills
critically assess a methodological approach presented in professional literature
critically assess a methodological approach presented in professional literature
develop and provides arguments for a design to collect qualitative data.
develop and provides arguments for a design to collect qualitative data.
name five different approaches to qualitative data analysis
name five different approaches to qualitative data analysis
analyse qualitative data by means of content analysis
analyse qualitative data by means of content analysis
produce a research report from a qualitative research activity
produce a research report from a qualitative research activity
teaching methods
Knowledge
Text analysis
Text analysis
Individual work of students
Individual work of students
Skills
Analysis of a presentation
Analysis of a presentation
assessment methods
Knowledge
Analysis of another type of paper written by the student (Casuistry, diary, plan ...)
Analysis of another type of paper written by the student (Casuistry, diary, plan ...)
Recommended literature
  • Durdella, N. Qualitative dissertation methodology: a guide for research design and methods.. London: SAGE, 2019.
  • Hendl, J. Kvalitativní výzkum. Základní metody a aplikace. Praha: Portál, 2005.
  • Charmaz, K. Constructing grounded theory. Thousand Isles: SAGE, 2014.
  • Chrastina, J. Případová studie - metoda kvalitativní výzkumné strategie a designování výzkumu.. Olomouc, 2019.
  • Mišovič, J. Kvalitativní výzkum se zaměřením na polostrukturovaný rozhovor.. SLON, 2019.
  • Navrátilová, H. Žánry extenzivní řeči učitele ve výukové komunikaci. Disertační práce.. Brno: MU, 2019.
  • Silverman, D. Ako robiť kvalitatívny výskum. Bratislava: Ikar, 2003.
  • Šeďová, K., & Švaříček, R. Jak psát kvalitativně orientované výzkumné studie. Kvalita v kvalitativním výzkumu. Pedagogická orientace, 23(4), 478?510. 2013.
  • Švaříček, R., & Šeďová, K. et al. Kvalitativní výzkum v pedagogických vědách: Pravidla hry. Praha: Portál, 2007.


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