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Controlling Exposure Rate of Computerized Adaptive Test

Author: XieFeng
Tutor: TaoJian
School: Northeast Normal University
Course: Probability Theory and Mathematical Statistics
Keywords: Computerized Adaptive Testing Maximum Fisher Information a-Stratified item exposure rates
CLC: O212
Type: Master's thesis
Year: 2009
Downloads: 82
Quote: 1
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Abstract


Item selection procedures designed for computerized adaptive need to accurately estimate every taker’s trait level and,at the same effectively use all items in a bank.Empirical studies show that classical item selection procedures base on maximizing Fisher or other related information yielded highly varied item exposure rates.Some new criterions are proposed.The a-Stratified Multistage and OID methods procedure improves to a moderate extent the undesirable item exposure rates associated with the maximizing Fisher information criterion and keeps sufficient precision in 9 estimates.The maximizing Fisher information criterion will be compared with a-Stratified and OID in an empirical study using the mean squared errors inθand plots of item exposure rates associated with differentθdistributions.

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CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Mathematical Statistics
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