GEN 10140

Empirical Legal Studies: Research Design

Stanford University · UGRD · Fall 2026

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Empirical legal studies have become trendy in the U.S. and are now spreading to law faculties in other countries as well. The popular image of an empirical study is that it involves sophisticated statistical analysis of quantitative data. Often the author of the study starts with a handy dataset and then tries to figure out what question he or she can answer using those data. Useful empirical studies of law and other topics don't start this way. Instead the researcher has a question, derived from theoretical literature or policy debate (or both) and faces the challenge of deciding what types of empirical data, collected and analyzed in what fashion, will best answer that question. The possibilities range from "big data" analyses of hundreds or thousands of documents, tweets or something similar to lengthy, intensive interviews with a few well-placed officials or informants, with just about any other way one might collect factual data -- e.g. online surveys, courtroom observations -- in between. What all of these approaches have in common is not that they involve numeric data but that they attempt to arrive at as objective a view of social, economic, or political reality as is possible. Learning how to design and conduct a survey or how to estimate a regression model or apply AI to vast numbers of texts is (relatively speaking) easy. There are lots of courses at Stanford that you can take on these methods. Learning what approaches are most appropriate to answer the research questions you are interested in is much harder. This seminar is directed at helping you think through the design of an empirical research project -- whether quantitative, qualitative or both -- from identifying researchable questions to collecting and analyzing data to presenting your results to academic or policy audiences. You will start with a broad question (or several questions) of interest to…

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Class #stanford-10140Fall 2026UGRD3 credits
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