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Political Attitudes: Classic and Advanced Methodologies for Measurement and Dynamics

Course Dates and Times

Monday 25 – Friday 29 July 2022
2 hours of live teaching per day
11:00 – 13:00 CEST

Camelia Florela Voinea

University of Bucharest

This course provides a highly interactive online teaching and learning environment, using state-of-the-art online pedagogical tools. It is designed for a demanding audience (researchers, professional analysts, advanced students) and capped at a maximum of 12 participants so that the teaching team can cater to the specific needs of each individual.

Purpose of the course

This course presents the relevant measurement methodologies for social and political attitudes:

  • classic attitude survey research, based on the attitude measurement methodologies and currently available sources of attitude measurement data (attitude survey research)
  • attitudes’ change dynamics evaluations, based on relevant alternative attitude dynamics research methodologies

The course will give you a solid foundation and applied skills in attitude measurement and attitude dynamics evaluation methodologies. You will learn:

  • the conceptual basis of social and political attitude measurement
  • different methodological approaches to attitude measurement, including several alternatives from relevant data analysis, and advanced methods and techniques of the artificial
  • methods of measurement of the societal and political resilience to various challenging phenomena like mass migration and refugees, conflict and regime change, political satisfaction with-, and support for democracy in Eastern European countries
ECTS Credits

3 credits Engage fully with class activities 
4 credits Complete a post-class assignment

Instructor Bio

Camelia Florela Voinea is Associate Professor at the Department of Public Policy, International Relations and Security Studies, University of Bucharest. She gained her PhD from the University of Low Danube, Galati, Romania.

She has developed doctoral studies in Informatic Sciences (Academic Consortium of University of Milan and University of Turin), and Artificial Intelligence (Department of Computer Science, Free University of Brussels).

Camelia's interests include political methodology, interdisciplinary research methods covering computational and simulation modelling of social and political systems, and political culture interdisciplinary research methods.

At the University of Bucharest, she teaches courses on Models of Political Attitudes, Social Choice and Voting Systems, and Statistics and Data Analysis in Political Science.

Twitter  @CameliaFVoinea

This course will help you adapt classic attitude models to actual world politics scenarios. We will use data collections and tests from the high-standard publicly available European and international survey and resources on attitude measurement.

The course blends theory and practice by presenting attitude measurement and evaluation case studies based on relevant world political scenarios. It includes offline video recordings and presentations using data analysis, and short demonstrations based on advanced software (Java, Python, and NetLogo).

Key topics covered

Social and political attitudes are at the core of research on the relationship between the individual, group, or whole society on the one hand, and the political system, political leadership, governance, and public policy on the other.

Measuring individual and mass attitudes, and evaluating their dynamic evolutions and impact on the dynamics of society and polity helps us anticipate political evolutions in volatile and risky situations, and increase resilience to challenging phenomena.

This course will give you a strategic understanding of, and applied modelling approaches to, attitude measurement and dynamic attitude change evaluation methodologies. You will learn the key concepts underlying the process of attitude measurement and attitude dynamic change evaluation. These often go missing in research methodology seminars, and are rarely discussed in mainstream methods textbooks. Questions to which we will seek answers include:

  • Why measure, evaluate or anticipate dynamic change in social and political attitudes?
  • What are the classic models of attitude measurement methodology, and what do they measure?
  • What are the limitations of classic data analysis-based attitude measurement?
  • What else could one learn about attitudes measurement and dynamics evaluation methodologies based on the advanced technologies of Artificial Intelligence (AI), Complex Adaptive Systems (CAS), Social Collective Intelligent Systems (SCIS), and web technologies?
  • How can attitude measurement gauge the resilience of society and polity to challenging phenomena such as migration, pandemics, and war?

The course tackles these questions and more. During hands-on sessions, you will put the techniques learned into practice. You'll be able to work on your own data, discuss your research design with the Instructor, and present your analysis plan and outcomes at the Masterclass.

How the course will work online

The course combines asynchronous pre-class assignments, such as readings and pre-recorded videos, along with daily two-hour live sessions on Zoom.

Live sessions will focus on conceptual and experimental / applicative components, each illustrated by presentations and short demonstrations. These will include Q&A segments during which you can talk to the Instructor about pre-class assignments, and enquire about areas of interest connected to the content.

To prevent Zoom fatigue and boredom, the course pedagogy includes small-group work, and short, focused tasks using online apps that support collective work and content engagement. For each online session, you will receive hand-outs in advance providing references, resources, and topics of study for group work. These may inspire your choice of subject for the post-class assignment.

This course assumes no previous knowledge of survey research or attitude measurement methodologies but requires basic understanding of statistical data analysis.

Programming knowledge and skills are not compulsory and are not required for the exercises or individual and group assignments. However, they are welcome and appreciated as student’s personal choice for approaching the practice for this course.

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.


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.