3 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
Analytically Corrected Bayesian Modularization for Local Item Calibration
Paul A. Jewsbury, Steven W. Nydick
The continuous calibration of pilot items embedded in operational assessments is challenging when pilot samples are small and adaptively routed. We formalize a Bayesian modularizat…
stat.ME2026
Group-Level Inference with Micro-Assessments
Paul A. Jewsbury
When the target of inference is a group mean rather than an individual score, long assessments can be statistically inefficient. From the marginal score of the likelihood, we deriv…