Clyde Coombs

From Wikipedia, the free encyclopedia

Clyde Hamilton Coombs (July 22, 1912 – February 4, 1988) was an American psychologist specializing in the field of mathematical psychology.[1] He devised a voting system, that was hence named Coombs' method.

Coombs founded the Mathematical Psychology program at the University of Michigan. His students included Amos Tversky, Robyn Dawes, and Baruch Fischhoff, all important researchers in Decision Sciences. The classic text "An Introduction to Mathematical Psychology," by Coombs, Dawes, and Tversky was a must for Michigan graduate students in Mathematical and Experimental Psychology.

In 1959 he was elected as a Fellow of the American Statistical Association.[2]

The development of scaling theory by Louis Guttman and Clyde Coombs has been recognized by Science as one of 62 major advances in the social sciences in the period 1900-1965[3]

Selected bibliography[edit]

  • Coombs, Clyde H.; Thrall, Robert M.; Raiffa, Howard, eds. (1954). Decision processes. New York: Wiley. OCLC 639321.
  • Coombs, Clyde H. (1964). Theory of data. New York, Wiley. (OCoLC)565269224.
  • Coombs, Clyde H. (1983). Psychology and Mathematics: An Essay on Theory. Ann Arbor: University of Michigan Press.
  • Coombs, Clyde H., Coombs, Lolagene C. & Lingoes, James C. (1978). Stochastic cumulative scales. In S. Shye (Ed.) Theory construction and data analysis in the behavioral sciences. San Francisco: Jossey-Bass.

References[edit]

  1. ^ National Academy of Sciences Biographical Memoir
  2. ^ View/Search Fellows of the ASA Archived 2016-06-16 at the Wayback Machine, accessed 2016-07-23.
  3. ^ Deutsch, K.W., Platt, J. & Sengham, D. (1971). Conditions favoring major advances in social sciences. Science 05 Feb 1971: Vol. 171, Issue 3970, pp. 450-459. DOI: 10.1126/science.171.3970.450