In this work, the use of empirical prior information in computerized adaptive testing (CAT) is investigated. The problem pertains the Bayesian ability estimation when collateral information about the candidates is available. The inclusion of prior information in CAT administration or, when problems of fairness arise, only in the initialization of the algorithm, is evaluated in order to improve the measurement precision.

The inclusion of prior information in CAT administration

MATTEUCCI, MARIAGIULIA;
2009

Abstract

In this work, the use of empirical prior information in computerized adaptive testing (CAT) is investigated. The problem pertains the Bayesian ability estimation when collateral information about the candidates is available. The inclusion of prior information in CAT administration or, when problems of fairness arise, only in the initialization of the algorithm, is evaluated in order to improve the measurement precision.
Book of Short Papers, Seventh Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society
565
568
M. Matteucci; B.P. Veldkamp
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/104076
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