Survey Methods for Public Opinion Research

The course is structured around three key pillars: Survey Methodology, Measurement in the Social Sciences, and Public Opinion Research. Its primary objective is to familiarize students with surveys—one of the most essential tools for data collection—and to apply this tool to the study of public opinion, attitudes, and values.
The backbone of the course is the concept of measurement in the social sciences, which is often overlooked. This course brings it to the forefront, equipping students with a set of transferable concepts that can be applied across various empirical courses throughout their academic studies.
In addition, the course aims to position survey research at the cutting edge of the 21st century by broadening its scope (e.g., through online probability panels) and incorporating emerging technologies, such as AI and adaptive survey design, into traditional methodologies.
Finally, the course emphasizes the growing importance of survey research infrastructures in the social sciences, particularly large international comparative projects such as the European Social Survey, the European/World Values Study, and the International Social Survey Programme (ISSP).

By the end of the course, students will have acquired the essential skills and knowledge to navigate the field of survey research with confidence, whether as academic or professional researchers.
Students will gain a theoretical understanding of the entire data production process, from defining a research question to constructing a dataset. Key stages covered include sampling, questionnaire design, interviewing, and data management. Special emphasis will be placed on data documentation and archiving, which are critical for adhering to the FAIR principles (Findable, Accessible, Interoperable, Reusable).
These skills will be applied specifically to public opinion research, where students will engage with core theories of social and political attitudes. Particular attention will be devoted to electoral research as a central domain for applying these concepts.
By the end of the course, students will be prepared to function as competent and insightful survey researchers, taking on leadership roles in both academic research projects and professional teams in the private sector. They will also become familiar with the main sources of high-quality survey data to support research based on secondary analysis.
The aim is to train professionals capable of managing the entire process of data production and analysis, including coordinating relations with research agencies and data collection providers.