A Conditional Composition Algorithm For Latent Regression
Door: Marsman, M., Maris, G.K.J., Bechger, T.M., Glas, C.A.W. | 01-01-2011 The article describes a general Gibbs sampler for structural measurement models consisting of an item response model for item responses conditional on ability, and a structural model for ability.We focus on an algorithm to simulate from the posterior distribution of ability. The algorithm, which we call the conditional-composition algorithm, can be used with any item response model and can be used in large scale applications in educational measurement.
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