How can we analyze social phenomena through quantitative data and analyses? What kind of scientific claims can we make based on such inferences, and what are the limits of quantitative empirical research? The objective of this lab is to provide students - even those without any quantitative training - with a hands-on introduction to empirical research using quantitative methods. We will start with the underlying ideas and assumptions of scientific inference, move towards a critical understanding of published research and end with students' own data analysis based on their research interests. This means that students are introduced to both a theoretical and conceptual understanding of quantitative social science research, and the independent ability to perform basic statistical analysis themselves, for instance for the master thesis.

Expected learning outcomes
By the end of the lab students will be able to:
- master the logic of scientific inference using quantative methods;
- understand the basics of statistical research as commonly applied in the social sciences;
- critically engage with published quantitative social science research;
- master basic proficiency in using statistical software Stata;
- perform basic statistical analysis with existing data (for instance, European Social Survey), based on a self-developed research question and hypotheses.

Prerequisites for admission

No specific preliminary knowledge is required. Students are required to register for the course by 31 March through the following form: https://forms.gle/1SZoEY2HQ5o6xKEs9 ;
Information provided in this form will also be used to adapt the pace of the course, and, if necessary, learning outcomes.