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An Introduction to the DA-T Gibbs Sampler for the Two-Parameter Logistic (2PL) Model and its Application

Door: Maris, G.K.J., Bechger, T.M. | 01-01-2004 The DA-T Gibbs sampler is proposed by Maris and Maris (2002) as a Bayesian estimation method for a wide variety of item response theory models.

The present paper provides an expository account of the DA-T Gibbs sampler for the two-parameter logistic model. It further presents two applications that are of independent interest. The first concerns the estimation of classical test theory reliability. The second application is that the DA-T Gibbs sampler for the 2PL may be used to build Gibbs samplers for a wider class of item response theory models.

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