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Mislevy, Robert J.; And Others – 1990
The models of standard test theory, having evolved under a trait-oriented psychology, do not reflect the knowledge structures and the problem-solving strategies now seen as central to understanding performance and learning. In some applications, however, key qualitative distinctions among persons as to structures and strategies can be expressed…
Descriptors: Learning Strategies, Models, Problem Solving, Spatial Ability

Beland, Anne; Mislevy, Robert J. – Journal of Educational Measurement, 1996
This article addresses issues in model building and statistical inference in the context of student modeling. The use of probability-based reasoning to explicate hypothesized and empirical relationships and to structure inference in the context of proportional reasoning tasks is discussed. Ideas are illustrated with an example concerning…
Descriptors: Cognitive Psychology, Models, Networks, Probability

Armstrong, Ronald D.; Jones, Douglas H. – Applied Psychological Measurement, 1992
Polynomial algorithms are presented that are used to solve selected problems in test theory, and computational results from sample problems with several hundred decision variables are provided that demonstrate the benefits of these algorithms. The algorithms are based on optimization theory in networks (graphs). (SLD)
Descriptors: Algorithms, Decision Making, Equations (Mathematics), Mathematical Models
O'Neil, Harold F., Jr.; Schacter, John – 1997
This document reviews several theoretical frameworks of problem-solving, provides a definition of the construct, suggests ways of measuring the construct, focuses on issues for assessment, and provides specifications for the computer-based assessment of problem solving. As defined in the model of the Center for Research on Evaluation, Standards,…
Descriptors: Computer Assisted Testing, Computer Software, Criteria, Educational Assessment