Martin–Quinn scores or M-Q scores are dynamic metrics used to gauge the ideology of a U.S. Supreme Court Justice based on their voting record. Therefore, a jurist's score will continuously change, unlike static measures of ideology such as the Segal–Cover score and Judicial Common Space score.[1] Martin–Quinn scores are among the most commonly used measures of judicial ideology.[2]

History and method

The concept of the Martin–Quinn score was published in a 2002 paper by Andrew D. Martin and Kevin M. Quinn.[2] The Martin–Quinn score uses Markov chain Monte Carlo (MCMC) methods to fit a Bayesian model of ideal points. The ideal points can change over time due to the item response model.[2] MQ scores are theoretically unbounded (have no minimum or maximum values).[3] MQ scores are dynamic, as each decision made by a judge creates another data point that can be integrated into the model.[4] The MQ score places the justices on a continuum of more liberal to more conservative.[5] As of 2007, scores roughly ranged between -8 and 4, with the lowest score of about -8 attributed to William O. Douglas (tenure on the USSC from 1939 to 1975) and the highest score of about 4.5 attributed to William Rehnquist (tenure from 1972 to 2005).[6] The largest shift in score between judges on the same Supreme Court seat since 1953 came when Thurgood Marshall (tenure from 1967 to 1990) was replaced by Clarence Thomas.[7]

Ward Farnsworth wrote that while the MQ model has ingenuity and promise, it falls short of proving what it aims to. He criticized the methodology of MQ scores, saying that MQ scores only take into account whether a judge affirms or reverses a ruling, and not the ideological outcome their action supports. In part, "the relationship between the spectrum generated by the [Martin–Quinn] model and the spectrum of policy decisions in the real world is a matter of guesswork. There is no inherent relationship between them.[8]

Application

MQ scores were initially developed to measure and compare the ideological leanings of current and former U.S. Supreme Court justices. They have since been applied to the judicial systems of other countries, including Argentina, Belgium, Brazil, the Philippines, Portugal, Spain, Taiwan, Turkey and the United Kingdom.[2]

Graph of Martin–Quinn Scores of U.S. Supreme Court Justices from 1937 to 2021

References

  1. ↑ Hasen, Richard L. (2019-05-11). "Polarization and the Judiciary". Annual Review of Political Science. 22 (1): 261–276. doi:10.1146/annurev-polisci-051317-125141. ISSN 1094-2939.
  2. 1 2 3 4 Spruk, Rok; Kovac, Mitja (2019). "Replicating and extending Martin-Quinn scores". International Review of Law and Economics. 60: 105861. doi:10.1016/j.irle.2019.105861. S2CID 211321682.
  3. ↑ "HOW KAVANAUGH WOULD CHANGE THE COURT". Data for Progress. Retrieved 23 September 2020.
  4. ↑ Martin, Andrew D.; 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): 134–153. doi:10.1093/pan/10.2.134. hdl:2027.42/116239. ISSN 1047-1987.
  5. ↑ The Learning Network (3 October 2018). "What's Going On in this Graph". The New York Times. Retrieved 23 September 2020.
  6. ↑ Epstein, L.; Martin, A. D.; Segal, J. A.; Westerland, C. (2007-06-01). "The Judicial Common Space". Journal of Law, Economics, and Organization. 23 (2): 303–325. doi:10.1093/jleo/ewm024. hdl:10.1093/jleo/ewm024. ISSN 8756-6222.
  7. ↑ Thomson-DeVeaux, Amelia (2020-09-25). "How Amy Coney Barrett Could Change The Supreme Court". FiveThirtyEight. Retrieved 2021-03-19.
  8. ↑ Farnsworth, W. (2007). "The Use and Limits of Martin-Quinn Scores to Assess Supreme Court Justices, with Special Attention to the Problem of Ideological Drift". Nw. U. L. Rev. 101.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.