ZURn6343 Mixed Methods Text Analysis

Faculty of Social Studies
Spring 2026
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
doc. Mgr. Alena Kluknavská, PhD. (lecturer)
Mgr. Dana Bučková (seminar tutor)
Guaranteed by
doc. Mgr. Alena Kluknavská, PhD.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Mgr. Boris Rafailov, Ph.D.
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Timetable
Tue 12:00–13:40 AVC
Prerequisites (in Czech)
TYP_STUDIA(MN)
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 4/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
fields of study / plans the course is directly associated with
Abstract (in Czech)

This course introduces students to content analysis as a research method that combines qualitative interpretation with systematic, rule-based quantitative coding. Students learn how to move from inductive qualitative analysis of texts (e.g., identifying themes or frames) to developing a structured coding scheme that allows for manual quantitative analysis.

The course emphasizes how researchers translate interpretive insights into clearly defined analytical categories and how to ensure reliability and transparency in coding. Students conduct a small-scale research project in which they develop a coding scheme, test it, and produce basic quantitative findings.

In addition, the course introduces the principles of automated text analysis. Students learn how computational approaches differ from manual coding, what kinds of research questions they can address, and how qualitative and quantitative manual coding can inform future computational research.

The course prioritizes methodological reasoning, research design, and critical reflection. No prior experience with content analysis or statistics is required.

Learning outcomes (in Czech)

By the end of the course, students will be able to: - Formulate a research question that can be addressed using content analysis and situate it within relevant theoretical perspectives. - Design a small-scale content analysis study, including the selection of appropriate textual data, definition of units of analysis, and justification of methodological choices. - Conduct inductive qualitative content analysis, developing and clearly defining framing categories, and linking them to theoretical perspectives. - Develop a structured coding scheme that translates qualitative insights into clearly defined categories for systematic analysis. -Apply manual quantitative content analysis, including coding texts using a codebook and preparing data for basic analysis. - Understand and assess intercoder reliability, including why reliability matters and how it affects the validity of findings. -Interpret quantitative content analysis results in light of qualitative insights and theoretical expectations. -Explain the basic logic of automated text analysis and reflect on how computational methods differ from and relate to manual coding approaches. -Communicate research design, coding decisions, and findings in a clear academic format.

Key topics (in Czech)

1. Course organization and introduction to the method

2. Introduction to content analysis as research design

3.  Research questions, role of theory

4. Logics of qualitative and quantitative inquiry and sampling

5. Inductive qualitative content analysis 

6. From codes to analytical themes 

7. Refining qualitative categories 

8. From meaning to measurement 

9. Building a codebook 

10. Reliability and validity in quantitative content analysis

11. Codebook refinement 

12. Introduction to automated text analysis 

13. Integration of findings and presentations

Study resources and literature
    required literature
  • NEUENDORF, Kimberly A. The content analysis guidebook. Thousand Oaks: Sage, 2002, xviii, 301. ISBN 0761919775. info
  • RIFFE, Daniel; Stephen LACY and Frederick FICO. Analyzing media messages : using quantitative content analysis in research. 2nd ed. Mahwah, N.J.: Lawrence Erlbaum, 2005, x, 242. ISBN 0805852980. info
  • SCHREIER, Margrit. Qualitative content analysis in practice. First published. London: SAGE, 2012, viii, 272. ISBN 9781849205931. info
    recommended literature
  • KRIPPENDORFF, Klaus. Content analysis : an introduction to its methodology. 2nd ed. Thousand Oaks: Sage, 2004, xxiii, 413. ISBN 9780761915454. info
Approaches, practices, and methods used in teaching (in Czech)

(1) inductive qualitative content analysis and (2) manual quantitative content analysis. 

Method of verifying learning outcomes and course completion requirements (in Czech)

Coursework assignment A1: Working research design

Coursework assignment A2: Qualitative content analysis

Coursework assignment A3: Coding scheme for quantitative analysis

Coursework assignment A4: Final presentation

Language of instruction
English
Further Comments
The course is taught annually.
  • Enrolment Statistics (recent)
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