Overview
Cees A. W. Glas is a psychometrician (University of Twente), known for item-response-theory methodology — estimation, model fit, and MCMC/Bayesian methods for uni- and multidimensional IRT.
Key Contributions / Features
- Bayesian multidimensional IRT (Béguin-Glas 2001): Gibbs-sampler estimation of three-parameter and multidimensional normal-ogive models, generalizing Albert (1992).
- Work on IRT model-fit testing (Lagrange-multiplier tests) and marginal maximum-likelihood estimation.
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