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EVENT | Wednesday, September 17, 2008
Enrollment Begins for the 2008 Conducting Empirical Legal Scholarship: The Advanced Course
The Advanced Course is a workshop for law school faculty interested in furthering their training in empirical research. It is designed for those who have some experience with empirical legal research and an understanding of elementary statistics (at the level taught in the introductory workshop). Topics to be covered will include: multiple regression, regression models for limited dependent variables, presenting results from non-linear models, data visualization and graphics, and matching methods for causal inference.
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EVENT | Monday, March 19, 2007
Enrollment Begins for the Conducting Empirical Legal Scholarship Workshop
The Conducting Empirical Legal Scholarship workshop is for law school and social science faculty interested in learning about empirical research. Leading empirical scholars Lee Epstein and Andrew D. Martin will teach the workshop, which provides the formal training necessary to design, conduct, and assess empirical studies, and to use statistical software (Stata) to analyze and manage data. Participants need no background or knowledge of statistics to enroll in the workshop. Topics to be covered include research design, sampling, measurement, descriptive statistics, inferential statistics, and linear regression.
Additional Information
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EVENT | Monday, November 20, 2006
Enrollment Begins for the Conducting Empirical Legal Scholarship: The Advanced Course
The Advanced Course is a workshop for law school faculty interested in furthering their training in empirical research. It is designed for those who have some experience with empirical legal research and an understanding of elementary statistics (at the level taught in the introductory workshop). Topics to be covered will include: multiple regression, regression models for limited dependent variables, presenting results from non-linear models, data visualization and graphics, and matching methods for causal inference.
Additional Information
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