2 papers
stat.ME2026
Bayesian Consensus Calibration of Continuously Evolving IRT Item Banks
Paul A. Jewsbury, Steven W. Nydick, Manqian Liao +2
AI-based item generation and NLP-based prediction of item parameters are producing item banks that are substantially larger, sparser, and more frequently updated than conventional…
stat.ME2026
A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
Steven W. Nydick, Manqian Liao, J. R. Lockwood
We describe a Bayesian multidimensional explanatory IRT model, and an associated Markov Chain Monte Carlo (MCMC) estimation procedure and the corresponding development of calibrati…