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Li, Yuan H.; Schafer, William D. – Journal of Educational Measurement, 2005
A computerized adaptive testing (CAT) algorithm that has the potential to increase the homogeneity of CAT's item-exposure rates without significantly sacrificing the precision of ability estimates was proposed and assessed in the shadow-test (van der Linden & Reese, 1998) CAT context. This CAT algorithm was formed by a combination of…
Descriptors: Mathematics, Adaptive Testing