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Cheng, Philip E.; Liou, Michelle – Applied Psychological Measurement, 2003
Proposed and evaluated a modified version of the maximum Fisher information (MFI) criterion called the nearest-neighbors (NN) criterion. Simulation study results show that NN procedure improved to a moderate extent the undesirable item exposure rates associated with the MFI criterion and keeps sufficient precision in theta estimates. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Simulation

Cheng, Philip E.; Liou, Michelle – Applied Psychological Measurement, 2000
Reviewed methods of estimating theta suitable for computerized adaptive testing (CAT) and discussed the differences between Fisher and Kullback-Leibler information criteria for selecting items. Examined the accuracy of different CAT algorithms using samples from the National Assessment of Educational Progress. Results show when correcting for…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing