ZURn6310 Quantitative Content Analysis

Faculty of Social Studies
Autumn 2025
Extent and Intensity
1/1/0. 4 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. et Mgr. Michal Tkaczyk, Ph.D. (lecturer)
Guaranteed by
Mgr. et Mgr. Michal Tkaczyk, Ph.D.
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
Fri 10:00–11:40 AVC, except Fri 21. 11.
Prerequisites
The course is addressed to students of the master's degree program, who are expected to have basic knowledge in the field of quantitative research methodology.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to acquaint the students with quantitative content analysis and equip them with required skills so they can design and conduct their own empirical research based on this method.
Learning outcomes
Upon the completion of the course, students will: • be able to demonstrate understanding of the principles of content analysis and the possibilities of its application in media communication research; • be able to design a research project based on content analysis; • be able to conduct own empirical research based on this method by herself or in team of peers; • be able to write a research report summarizing the results of content analysis
Syllabus
  • 1st week: Introductory session. Introduction to the course content.
  • 2nd week: Content analysis. Basic principles, definition, and application.
  • 3rd week: Conceptual preparation of content analysis. Conceptualisation of the research problem, choice of research design and its parameters.
  • 4th week: Possibilities of data analysis in content analysis.
  • 5th week: Selection of messages and construction of the research sample.
  • 6th week: Operationalisation of variables and choice of indicators.
  • 7th week: Development of a coding book, formulation of coding instructions.
  • 8th week: No class. Self-study.
  • 9th week: No class. Self-study.
  • 10th week: Validity, reliability, and intercoder agreement.
  • 11th week: No class. Self-study.
  • 12th week: Presentation of the results of content analysis.
  • 13th week: No class. Self-study.
Literature
    required literature
  • RIFFE, Daniel; Stephen LACY and Frederick FICO. Analyzing media messages : using qualitative content analysis in research. Third edition. New York: Routledge, Taylor & Francis Group, 2014, xiv, 206. ISBN 9780415517669. info
    recommended literature
  • KRIPPENDORFF, Klaus. Content analysis : an introduction to its methodology. 3rd ed. Los Angeles: SAGE, 2013, xiv, 441. ISBN 9781412983150. info
  • NEUENDORF, Kimberly A. The content analysis guidebook. Thousand Oaks: SAGE Publications, 2002, xviii, 301. ISBN 0761919783. info
  • SHOEMAKER, Pamela J. and Stephen D. REESE. Mediating the message in the 21st century : a media sociology perspective. Third edition. New York: Routledge, Taylor & Francis Group, 2014, xix, 287. ISBN 9780415989145. info
Teaching methods
Teaching methods in class include lectures, student presentations, discussion, problem solving. Students tasks include systematic and critical reading of academic literature, problem solving (elaboration of ongoing tasks and professional text) and work on project.
Assessment methods
Class assignments
During the semester, students submit four class assignments: 1) Research project, 2) Research sample, 3) Coding book and coding sheet 4) Calculation of inter-coder agreement. Class assignments represent the partial steps / components necessary for the elaboration of the Final assignments.
Final assignment
Revised research project.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught once in two years.
The course is also listed under the following terms Autumn 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (recent)
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