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Download full textvon Davier, Matthias; Sinharay, Sandip – Educational Testing Service, 2009
This paper presents an application of a stochastic approximation EM-algorithm using a Metropolis-Hastings sampler to estimate the parameters of an item response latent regression model. Latent regression models are extensions of item response theory (IRT) to a 2-level latent variable model in which covariates serve as predictors of the…
Descriptors: Item Response Theory, Regression (Statistics), Models, Methods
