Professional Background
Professor of Statistics and Education
Educational Background
B.A. in Psychology (highest honors) 1977, University of North Carolina
Graduate study, L. L. Thurstone Psychometric Laboratory, 1977-1979, University of North Carolina
Ph.D. in Experimental Psychology, 1983, Stanford University
Scholarly Interests
Computational models of human learning and categorization. Judgment and decision-making. Clustering and scaling methods for multivariate data. Statistics expertise and probability problem-solving. Evaluation of educational technology innovations.
Selected Publications
Corter, J. E., Matuska, T., & Markman, A. B. (2007). Attention allocation in learning an XOR classification task. Proceedings of the Second European Cognitive Science Conference, 935.
Corter, J. E., & Zahner, D. C. (2007). Use of external visual representations in probability problem solving. Statistics Education Research Journal, 6(1), 22-50, http://www.stat.aukland.ac.nz/serj.
Corter, J. E., & Chen, Y.-J. (2006). Do investment risk tolerance attitudes predict portfolio risk? Journal of Business and Psychology, 20-3, 369-381.
Chen, Y.-J., & Corter, J. E. (2005). When mixed options are preferred in multiple-trial decision making. Journal of Behavioral Decision Making, 18, 1-26.
Corter, J. E. (2005). Additive trees. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in the Behavioral Sciences. London: Wiley.
Tatsuoka, K. K., Corter, J. E., & Tatsuoka, C. (2004). Patterns of diagnosed mathematical content and process skills in TIMSS-R across a sample of twenty countries. American Educational Research Journal, 41(4), 901-926.
Matsuka, T. & Corter, J.E. (2004). Stochastic learning algorithm for modeling human category learning. International Journal of Computational Intelligence, 1(1), 40-48.
Matsuka, T., Corter, J. E., & Markman, A. (2002). Allocation of attention in neural network models of categorization. In Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.
Corter, J. E. (1998). An efficient metric combinatorial algorithm for fitting additive trees. Multivariate Behavioral Research, 33, 249-272.
Corter, J. E. (1996). Tree Models of Similarity and Association. (Sage University Papers series: Quantitative Applications in the Social Sciences, series no. 07-112). Thousand Oaks CA: Sage.
Carroll, J. D., & Corter, J. E. (1995). A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees. Journal of Classification, 12, 283-314.
Corter, J. E. (1995). Using clustering methods to explore the structure of diagnostic tests. In P. Nichols, S. Chipman & R. Brennan (Eds.), Cognitively Diagnostic Assessment. Hillsdale NJ: Lawrence Erlbaum Associates, 305-326.
Corter, J.E., & Gluck, M.A. (1992). Explaining basic categories: feature predictability and information. Psychological Bulletin, 111, 291-303.
Corter, J.E., Gluck, M.A., & Bower, G.H. (1988). Basic levels in hierarchically structured categories. In Proceedings of the Tenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Lawrence Erlbaum Associates.
Corter, J.E. (1987). Similarity, confusability, and the density hypothesis. Journal of Experimental Psychology: General, 116, 238-249.
Butler, K.A. & Corter, J.E. (1986). Use of psychometric methods in knowledge acquisition: A case study. In W.A. Gale (Ed.), Artificial Intelligence and Statistics. Reading MA: Addison-Wesley.
Corter, J.E. & Tversky, A. (1986). Extended similarity trees. Psychometrika, 51, 429-451.
James E. Corter
Professor of Statistics and Education
Phone: 212-678-3843
Email:
Web site: http://www.columbia.edu/~jec34