FSS:ZURn6310 Quantitative Content Analysis - Course Information
ZURn6310 Quantitative Content Analysis
Faculty of Social StudiesSpring 2023
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Martina Novotná, Ph.D. (lecturer)
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 14:00–15:40 Studio 527
- Prerequisites
- ZURn4108 Analysis of Quantitative Data
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 only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Media industries and production (programme FSS, N-MSZU)
- Media Studies and Journalism (programme FSS, N-KS)
- Media Studies and Journalism (programme FSS, N-MSZU)
- Media research and analytics (programme FSS, N-MSZU)
- 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: Introduction to the course 2nd Week: Content analysis: Basic principles, definitions and applications 3rd Week: Conceptual preparation of analysis: Conceptualization of research problem and research design 4th Week: Selection of content and sample construction 5th Week: Content analysis in applied research 6th Week: Data analysis in content analysis 7th Week: Operationalization of variables and selection of indicators 8th Week: Codebook development 9th Week: Validity, reliability and inter-coder reliability 10th Week: Self-study 11th Week: Content analysis of social media 12th Week: Self-study 13th Week: Presenting findings of CA
- 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
- KRIPPENDORFF, Klaus. Content analysis : an introduction to its methodology. 3rd ed. London: SAGE, 2013, xiv, 441. ISBN 9781412983150. info
- NEUENDORF, Kimberly A. The content analysis guidebook. Thousand Oaks: SAGE Publications, 2002, xviii, 301. ISBN 0761919783. info
- recommended literature
- 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).
- 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.
Mini presentations in class
Students present the results of their work on solving class assignments to their colleagues.
Final assignment
Research project of CA. - Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2023, recent)
- Permalink: https://is.muni.cz/course/fss/spring2023/ZURn6310