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Bayesian computerized adaptive testing
Bayesian Computerized Adaptive Testing Page 1 Bayesian Computerized Adaptive Testing
Bernard P. Veldkamp* Mariagiulia Matteucci** Abstract Computerized adaptive testing (CAT) …
Bernard P. Veldkamp* Mariagiulia Matteucci** Abstract Computerized adaptive testing (CAT) …
Prior distributions for item parameters in IRT models
The focus of this article is on the choice of suitable prior distributions for item parameters
within item response theory (IRT) models. In particular, the use of empirical prior …
within item response theory (IRT) models. In particular, the use of empirical prior …
The use of predicted values for item parameters in item response theory models: an application in intelligence tests
In testing, item response theory models are widely used in order to estimate item parameters
and individual abilities. However, even unidimensional models require a considerable …
and individual abilities. However, even unidimensional models require a considerable …
On the use of MCMC CAT with empirical prior information to improve the efficiency of CAT
M Matteucci, PB Veldkamp - 2011 - amsacta.unibo.it
In this paper, empirical prior information about the candidate is applied in computerized
adaptive testing (CAT). The main objective of CAT is to improve efficiency of test …
adaptive testing (CAT). The main objective of CAT is to improve efficiency of test …
Teste adaptativo computadorizado bayesiano
Computerized adaptive testing (CAT) comes with many advantages. Unfortunately, it still is
quite expensive to develop and maintain an operational CAT. In this paper, various steps …
quite expensive to develop and maintain an operational CAT. In this paper, various steps …
Prior information at item level in item response theory models
Recently, Bayesian estimation of item response theory (IRT) models via Markov chain Monte
Carlo methods has become very popular. The main reason is that this method is free from …
Carlo methods has become very popular. The main reason is that this method is free from …
[CITACE][C] Elaboration of an Algorithm of Detecting Tests' Dimensionality
M Ergüven