Panel Data and Methods

About

This course introduces quantitative researchers to working with and analysing panel data, that is, data with repeated observations of the same unit (e.g. respondents or countries). The course begins with hands-on approaches to understanding and preparing longitudinal data, before moving to both basic and more advanced methods for panel data analysis.

Key topics include longitudinal data handling and description, visualisation, and panel data methods, from standard fixed- and random-effects models to recent developments in the difference-in-difference literature.

The course focuses on how these methods are used in existing academic research (especially political science and sociology) and how you can apply them to your own research questions.

During the course, you will explore real-world software examples based on existing panel datasets.

Course leader

Nadja Wehl is a postdoctoral researcher in Political Science at the Cluster of Excellence 'The Politics of Inequality' at the University of Konstanz. Her research focuses on socio-economic inequalities, political attitudes and behaviour, perceptions of inequality, and political socialisation. Her work also examines digital campaigning, with a particular emphasis on the role of data and algorithms in contemporary politics. Nadja is involved in collecting a panel data set of German students and often publishes research based on longitudinal data in journals including Comparative Political Studies. She has extensive experience teaching quantitative methods, including teaching introductions to longitudinal/panel data and methods.

Target group

Social science researchers

Course aim

By the end of the course, you will be able to choose between different research designs for your longitudinal data, apply longitudinal methods, and critically assess empirical studies using longitudinal data and methods.

Fee info