ECPR Methods School at General Conference

Qualitative, Interpretative and Comparative Methods Track | Learn to conduct your research with MAXQDA24, the leading software for qualitative data analysis. This interactive course combines live teaching with practical, try-at-home exercises.

Quantitative, Causal and Survey Methods Track | Build a solid foundation in statistical analysis with R. Learn Ordinary Least Squares regression and non-linear techniques, and their application in policy analysis and other contexts.

Quantitative, Causal and Survey Methods Track | Learn to draw credible causal conclusions from observational data using design-based approaches. This interactive course combines live teaching with practical, research-focused exercises.

Computational, Digital and AI Methods Track | Learn to build, analyse and model social network data in R to answer political research questions, applying core concepts and methods through hands-on exercises.

Computational, Digital and AI Methods Track | Learn how LLMs can support social science research, from text analysis to data interpretation, with practical workflows and a focus on validation, bias, and responsible use.

Quantitative, Causal and Survey Methods Track | Gain a practical grounding in panel data analysis, using key concepts and methods to visualise and interpret longitudinal data for robust social science research.

Qualitative, Interpretative and Comparative Methods Track | Learn ethnographic methods and writing, research design, quality and ethics, and gain practical experience in studying politics and power in a range of contexts.

Qualitative, Interpretative and Comparative Methods Track | Experience the key aspects of process tracing through practical, hands-on advice and techniques that can be applied in your own research project.

Qualitative, Interpretative and Comparative Methods Track | Learn core logic, designs, and techniques of qualitative and mixed-methods research, applying them to analyse data and develop robust social science projects.

Quantitative, Causal and Survey Methods Track | With this applied introduction to survey experiments, you’ll develop a Pre-Analysis Plan ready for registration and fielding, and gain hands-on experience in design, measurement, and analysis.

Qualitative, Interpretative and Comparative Methods Track | Gain practical skills in qualitative comparative analysis as you learn to design your research, analyse data, use specialised software, and effectively communicate your findings.