Training
In order to support empirical legal scholarship at our school, Duke University Law Library offers a variety of opportunities for statistical and empirical training.
Mini-Classes
Our staff has prepared a selection of mini-classes on a variety of statistical subjects. If there is a topic that you would like to see a class on, please contact Mirya Holman at mholman@law.duke.edu or 613 7041.
An Introduction to Empirical Legal Scholarship
An overview of the basic concepts of ELS, with sources of information and concept definitions.
A short lesson on the basics of coding variables for statistical analysis.
A short lesson on developing, writing, conducting, and analyzing surveys.
Local Statistics Instruction
There are several places in the local area to receive free or discounted statistics instruction.
Social Science Research Institute at Duke
Social Science Research Institute (SSRI) provides access to interdisciplinary social science research social science research and methods across the social and behavioral sciences. Their facilities include a full time statistician, who can assist with a wide variety of statistical needs, a grant writer, and access to experimental and statistical labs.
Training from Duke's Human Resources on a variety of computer programs and techniques. Instruction on Excel and Access may provide training needed for basic statistical analysis.
Odum Institute at the University of North Carolina, Chapel Hill
Odum offers a variety of short courses on statistical methods, computer programs, survey research, and hands on empirical assistance. Click on "Short Courses" on the left to browse the selection of short courses offered by the Institute each semester.
Durham Tech Community College offers a variety of classes that may be useful for beginning or advanced learning about statistics, empirics, and research.
Institutional Review Boards
Information on conducting non-medical human subjects' research at Duke University.
IRB Information from the ELS Blog
Information from the Empirical Legal Studies blog on Institutional Review Boards, including when and how to apply for Human Subjects Approval.
A blog and discussion board of all things IRB.
Online Training Resources
A wide variety of instruction on statistics is available online. We have selected those programs which provide the best and most consistent training.
Databases of trainings
UCLA's Statistical Computing Services
An extensive online training library, containing powerpoints, movies, and MP3s. The first two-thirds of the classes focus on statistical computing, while the last third focus on specific statistical techniques, such as longitudinal analysis and survey data analysis.
Extensive resources from MIT's classes, including lecture notes, syllabi, and videos of classes and lectures. Click on Mathematics to access classes on a variety of mathematical concepts.
Inter-University Consortium for Political and Social Research's collection of data-focused instructional modules. Many examples use ICPSR's data as examples for instruction about a specific method or dataset. Users can search for a topic, or click "Browse Instructional Modules" to browse the modules.
Basic Method Trainings
A searchable online collection of datasets and stories that illustrate basic statistics methods.
Statnotes: Topics in Multivariate Analysis
An online indexed catalogue of topics associated with multivariate analysis.
Surveys
Harvard's Program on Survey Research
Harvard University's program on Survey Research. Click on the downloadable PDF files on the right side of page (under "PSR Survey Tip Sheets") for detailed instruction on a variety of elements of Survey Research.
The Survey Research Center at UCI
A detailed guide to all parts of survey research, including articles, questions, sampling, and analysis.
Iowa State's Nine Step Survey Process
A nine step guide to writing, fielding and analyzing a survey. In .pdf form.
Incorporating Statistics
An online instruction manual from the OWL at Purdue on how to write with statistics.
An online primer on how to read and interpret statistics, and how to use statistics efficiently from the University of North Carolina.
Scholarship on Statistical Methods
UCLA's Empirical Research Group has compiled an Empirical Legal Scholarship Bibliography. The bibliography is searchable by topic, author, title, or year. Users can also choose to download the entirety of the bibliography.
Nathaniel Beck and Jonathan N. Katz, What to do (and not to do) with Time-Series Cross-Section Data, 89 Am J Poli Sci 634 (1995).
Jeremy A. Blumenthal, Meta-Analysis: A Primer for Legal Scholars, 80 TEMPLE L. REV. (forthcoming 2007, available from SSRN).
Thomas Brambor, William Roberts Clark, and Matt Golder, Understanding Interaction Models: Improving Empirical Analyses, 14 Pol Analysis 63 (2006).
Amy Edmondson and Stacey McManus, Methodological Fit in Management Field Research, 32 Academy of Management Review 1155 (2007).
Lee Epstein, and Andrew D. Martin. 2005. Coding Variables. In THE HANDBOOK OF SOCIAL MEASUREMENT, ed. Kimberly Kempf-Leonard. Academic Press.
Gary King, Michael Tomz and Jason Wittenberg, Making the Most of Statistical Analyses: Improving Interpretation and Presentation, 44 Am J Poli Sci 347 (2000)
Jeff Frank Strnad, Should Legal Empiricists Go Bayesian? 342 Stanford Law and Economics Olin Working Paper (May 2007, Available at SSRN).
Sven E. Wilson and Daniel M. Butler, A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications, 15 Pol Analysis 101 (2007).
