IRTM: Theory-Driven Item Response Theory (IRT) Models
Marco Morucci, Margaret Foster, David A. Siegel · 2025
IRT-M is a semi-supervised approach based on Bayesian Item Response Theory that produces theoretically identified underlying dimensions from input data and a constraints matrix. The methodology is fully described in 'Morucci et al. (2024), "Measurement That Matches Theory: Theory-Driven Identification in Item Response Theory Models"'. Details are available at .