Mathematical Psychology, a Related Research Approach
Mathematical psychology is an approach to scientific research across multiple sub-disciplines of psychology that “is broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation” (Society for Mathematical Psychology website, www.cogs.indiana.edu/socmathpsych/, accessed August 1, 2007). Scholarly work involving approaches of mathematical psychology includes research in such areas as complex decision making, neural networks and brain mechanisms, models of perception, psycholinguistics and computational models of language, learning, subjective probability, game theory, psychophysics, problem solving, and beyond. In fact, quantitative programs in some departments of psychology include tracks in both traditional areas of quantitative psychology (measurement, research design, and statistical analysis) and in mathematical and statistical modeling. In other programs, quantitative methods training for the Ph.D. is focused on the traditional areas; mathematical psychology exists as a separate concentration that may or may not exist in the same programs as those that house the more traditional foci. In all, only a handful of psychology departments identify a distinct mathematical psychology concentration.
University |
Program Name |
University of California, Irvine |
Department of Cognitive Sciences |
Indiana University |
Concentration in Mathematical Psychology |
Ohio State University |
Quantitative Psychology/Judgment and Decision making |
University of Illinois, Champaign |
Quantitative Psychology |
Purdue University |
Quantitative/Mathematical |
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