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Patz y Junker 1999b by Josema Santa Olalla Tovar is a document available to read on EtoBox.

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This paper presents a Markov Chain Monte Carlo (MCMC) methodology for item response models, emphasizing its advantages over traditional E-M methods by allowing simultaneous treatment of item and subject parameters. The authors illustrate their approach using the two-parameter logistic IRT model and highlight the incorporation of uncertainty in parameter estimates, which is crucial for complex educational assessments like the NAEP. The methodology is positioned as a more flexible and efficient alternative fo

Author
Josema Santa Olalla Tovar
Language
EN

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