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Peer reviewedSwanson, Len; Stocking, Martha L. – Applied Psychological Measurement, 1993
A model for solving very large item selection problems is presented. The model builds on binary programming applied to test construction. A heuristic for selecting items that satisfy the constraints in the model is also presented, and various problems are solved using the model and heuristic. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Heuristics, Item Response Theory
Peer reviewedMislevy, Robert J.; Verhelst, Norman – Psychometrika, 1990
A model is presented for item responses when different subjects use different strategies, but only responses--not choice of strategy--can be observed. Substantive theory is used to differentiate the likelihoods of response vectors under a fixed set of strategies, and response probabilities are modeled via item parameters for each strategy. (TJH)
Descriptors: Algorithms, Guessing (Tests), Item Response Theory, Mathematical Models
