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Green, Bert F. – Applied Psychological Measurement, 2011
This article refutes a recent claim that computer-based tests produce biased scores for very proficient test takers who make mistakes on one or two initial items and that the "bias" can be reduced by using a four-parameter IRT model. Because the same effect occurs with pattern scores on nonadaptive tests, the effect results from IRT scoring, not…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Bias, Item Response Theory
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Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2005
A new test assembly algorithm based on a Monte Carlo random search is presented in this article. A major advantage of the Monte Carlo test assembly over other approaches (integer programming or enumerative heuristics) is that it performs a uniform sampling from the item pool, which provides every feasible item combination (test) with an equal…
Descriptors: Item Banks, Computer Assisted Testing, Monte Carlo Methods, Evaluation Methods