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Charles H. Franklin
Franklin specializes in statistical methods, elections and public opinion. His statistical work includes the creation of Two-Stage Auxiliary Instrumental Variables (2SAIV), a statistical method for estimating change over time when some variables are not observed at all time points. His articles on partisanship, public opinion and the Supreme Court and U.S. Senate elections have appeared in a number of major journals. His current work focuses on Bayesian models of election campaigns and polling data. He teaches courses in Maximum Likelihood and Bayesian estimation, making Wisconsin one of the very few political science departments to offer such advanced (and increasingly important) methodology training. His summer course in Maximum Likelihood, taught at the ICPSR in Ann Arbor, draws over 70 students from throughout the world each year. He served for eight years as a member of the Board of Overseers of the National Election Study and has been President of the Society for Political Methodology.
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Recent Publications
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Charles Franklin “Quantitative Methodology.” In Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier, eds., The Oxford Handbook of Political Methodology (Oxford University Press, 2008).
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Current Courses taught for Spring 2012-2013
218 - Understanding Political Numbers
Instructors: Charles Franklin Field: Political Methodology
Section Number: 001
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544 - Intro to Survey Research
Instructors: Charles Franklin Field: Political Methodology
Section Number: 001
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