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What Can We Learn About the Ideology of the Newest Supreme Court Justices?

Published online by Cambridge University Press:  28 June 2011

Stephen A. Jessee
Affiliation:
University of Texas at Austin
Alexander M. Tahk
Affiliation:
University of Wisconsin–Madison

Abstract

In this article, we present a principled method for updating estimates of the ideology of Supreme Court justices based on each new vote they cast. We apply this method to the ideological positions of the newly appointed members of the Court: John Roberts, Samuel Alito, and Sonia Sotomayor. This approach allows us to gain not only an estimate of justices' ideologies but also a greater understanding of the level of uncertainty we should have about these values, including how much we can learn about a new justice's views after he or she has cast a given number of votes on the Court.

Type
Features
Copyright
Copyright © American Political Science Association 2011

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References

Bailey, Michael A. 2007. “Comparable Preference Estimates across Time and Institutions for the Court, Congress, and Presidency.” American Journal of Political Science 51 (3): 433–48.CrossRefGoogle Scholar
Clinton, Joshua, Jackman, Simon, and Rivers, Douglas. 2004. “The Statistical Analysis of Roll Call Data.” American Political Science Review 98 (2): 355–70.CrossRefGoogle Scholar
Epstein, Lee, Martin, Andrew D., Segal, Jeffrey A., and Westerland, Chad. 2007. “The Judicial Common Space.” Journal of Law, Economics, and Organization 23 (2): 303–25.CrossRefGoogle Scholar
Heckman, James J., and Snyder, James M. Jr. 1997. “Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators.” RAND Journal of Economics 28: S142S189.CrossRefGoogle Scholar
Martin, Andrew D., and Quinn, Kevin M.. 2002. “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999.” Political Analysis 10 (2): 134–53.CrossRefGoogle Scholar
Plummer, Martyn. 2003. “JAGS: A Program for Analysis of Bayesian Graphical Models Using Gibbs Sampling.” In Proceedings of the 3rd International Workshop on Distributed Statistical Computing, ed. Hornik, Kurt, Leisch, Friedrich, and Zeileis, Achim, 2022. Vienna: Technische Universität Wien.Google Scholar
Poole, Keith T., and Rosenthal, Howard. 1985. “A Spatial Model for Legislative Roll Call Analysis.” American Journal of Political Science 29 (2): 357–84.CrossRefGoogle Scholar
Poole, Keith T., and Rosenthal, Howard. 1997. Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press.Google Scholar
Rasch, Georg. 1960. Probabilistic Models for Some Intelligence and Attainment Tests. Copenhagen: Danmarks Paedogogiske Institut.Google Scholar
Rasch, Georg. 1966. “An Item Analysis which Takes Individual Differences into Account.” British Journal of Mathematical and Statistical Psychology 19 (1): 4957.CrossRefGoogle ScholarPubMed
Rivers, Douglas. 2003. “Identification of Multidimensional Spatial Voting Models.” Unpublished manuscript, Stanford University.Google Scholar
Ruger, Theodore W., Kim, Pauline T., Martin, Andrew D., and Quinn, Kevin M.. 2004. “The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decisionmaking.” Columbia Law Review 104 (4): 1,150–210.CrossRefGoogle Scholar
Segal, Jeffrey A., and Spaeth, Harold J.. 1993. The Supreme Court and the Attitudinal Model. Cambridge: Cambridge University Press.Google Scholar
Segal, Jeffrey A., and Spaeth, Harold J.. 2002. The Supreme Court and the Attitudinal Model Revisited. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Spaeth, Harold J., Epstein, Lee, Ruger, Ted, Whittington, Keith, Segal, Jeffrey A., and Martin, Andrew D.. 2010. “Supreme Court Database.” http://scdb.wustl.edu/.Google Scholar
Stene, Jon. 1968. “Introduction to the Rasch Theory of Psychological Measurement.” In Psychologische Testtheorie, ed. Fischer, Gerhard H., 229–68. Bern: Hans Huber.Google Scholar
Washington Post/Morningside Partners/FDCH. 2005. Transcript: Day Two of the Roberts Confirmation Hearings. 2005. Washington Post, September 13. http://www.washingtonpost.com/wp-dyn/content/article/2005/09/13/AR2005091300979.html.Google Scholar