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Content Analysis - Kostas Gemenis

Course Dates and Times

Kostas Gemenis, course instructor for Content Analysis - Kostas Gemenis at ECPR's Research Methods and Techniques
Kostas Gemenis

k.gemenis@cut.ac.cy

Cyprus University of Technology

The course will introduce participants to the family of methods known as ‘content analysis’ using a variety of examples from political and other social sciences. The course will cover the basic aspects of content analysis relating to creating coding schemes, document selection, coding, and scaling. Particular attention will be paid to evaluating measurement in the context of content analysis in terms of reliability and validity. The course will cover different approaches to both manual and computer-assisted coding in content analysis, and will be taught in a mix of lectures and seminars. After each lecture, participants will be asked to do some hands-on content analysis exercises (codebooks, textual material, and software where needed will be provided) and the results will be compared, discussed, and extended during the seminars. Prerequisite knowledge Participants are expected to be familiar with basic statistical concepts such as measures of central tendency (mean, median), dispersion (standard deviation), tests of association (Pearson’s r) and inference (χ2, t-test). These material are covered in the first few chapters of introductory statistics or data analysis textbooks. A useful example is Pollock P.H. III, The Essentials of Political Analysis, fourth edition (Washington, DC: CQ Press, 2012), Chapters 2, 3, 6, and 7. Some familiarity with SPSS and Stata statistical software is also desirable. Kostas Gemenis is Assistant Professor of Research Methods at the Department of Public Administration, University of Twente. His research interest include measurement in the social sciences, and content analysis with applications to estimating the policy positions of political actors. He is also currently involved in Preference Matcher , a consortium involving researchers who collaborate in developing e-literacy tools designed to enhance voter education.

Instructor Bio

Kostas Gemenis is Senior Researcher in Quantitative Methods at the Max Planck Institute for the Study of Societies.

His research interests include measurement in the social sciences, and content analysis with applications to estimating the policy positions of political actors.

He is currently involved in Preference Matcher, a consortium of researchers who collaborate in developing e-literacy tools designed to enhance voter education.

  @k_gemenis

Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least three hours. The instructor will conduct live Q&A sessions and offer designated office hours for one-to-one consultations.

Please check your course format before registering.

Online courses

Live classes will be held daily for three hours on a video meeting platform, allowing you to interact with both the instructor and other participants in real-time. To avoid online fatigue, the course employs a pedagogy that includes small-group work, short and focused tasks, as well as troubleshooting exercises that utilise a variety of online applications to facilitate collaboration and engagement with the course content.

In-person courses

In-person courses will consist of daily three-hour classroom sessions, featuring a range of interactive in-class activities including short lectures, peer feedback, group exercises, and presentations.

Disclaimer

This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.

By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.