Quantitative Empirical Research Methods in Law
This course is tailored to introduce law students to the most essential empirical research methods, ensuring accessibility even for those with no prior experience in quantitative analysis. No previous knowledge of statistics or empirical techniques is necessary.
- Target group
- PhD candidate
- Teacher
- Koen Caminada (Interim Dean)
- Method
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Training course
- EC
- 5
Description
Scholars increasingly recognize the importance of quantitative empirical analysis for understanding the legal system and its societal role. Unlike a decade ago, researchers now have easier access to original data sets. However, quantitative empirical studies encompass a wide range of techniques that are often not clearly defined. These methods generally involve the collection and analysis of data to support theories, hypotheses, or conclusions, with several straightforward empirical tests available to compare data against theoretical frameworks. Given these advancements, a solid understanding of empirical research methods is essential for a well-trained attorney. This knowledge not only enhances comprehension of the statistical tools used by experts but also equips those pursuing careers in academic research, public interest, or policy work with valuable quantitative skills.
This course focuses on preparing practitioners to critically evaluate empirical material relevant to legal cases, controversies, and the development and assessment of legislation. Additionally, it aims to provide students with a solid understanding of various empirical research methods that they can apply in their own research projects. The course covers both theoretical and practical aspects, introducing topics such as reliability, validity, research methodology, data collection and analysis using descriptive statistics, the application of (multiple) regression, the importance of proper sampling techniques, and the execution of simulations or cross-country data analyses. Course requirements include writing a paper, active class participation, presenting research findings to the class, and completing several exercises.
Enrollment
- Please register here.
- Due to the short duration of the course and the high intensity, late entry is not permitted.