*New* CSSS Seminar: Beyond Binary Mastery – Identifiability and Estimation of Partial-Mastery Cognitive Diagnostic Models (10/21/26)
Posted: 2026-09-25 11:19:36 (Local Events)
Cognitive diagnostic models (CDMs) are widely used in educational and psychological assessment to provide fine-grained information about individuals’ mastery of specific skills or attributes. Partial-mastery cognitive diagnostic models (PM-CDMs) extend traditional CDMs by allowing latent attribute mastery to vary continuously rather than being restricted to binary mastery indicators. In PM-CDMs, each individual is characterized by a fixed continuous latent mastery vector, from which item-specific binary attribute profiles are independently generated. This formulation provides a bridge between CDMs and continuous latent variable models. Meeting details can be found at this link.
Jun Wu is a postdoctoral fellow in the Computational Psychometrics Group, Czech Academy of Sciences. His research interests are in graphical models and latent variable models.
Date: 10/21/2026
Time: 12:30-1:30 PM
Deadline: 10/21/2026
Location: Savery 409