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Reimagining patient-reported outcomes in the age of generative AI. [PDF]

open access: yesNPJ Digit Med
Boyer L   +4 more
europepmc   +1 more source

A Comparison of Two MCMC Algorithms for the 2PL IRT Model

Springer Proceedings in Mathematics and Statistics, 2017
Markov chain Monte Carlo (MCMC) techniques have become popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS), which can be implemented in two specialized software packages JAGS and Stan, respectively.
Yanyan Sheng, Sheng Yanyan
exaly   +2 more sources

Person Specific Parameter Heterogeneity in the 2PL IRT Model

Multivariate Behavioral Research, 2023
Following Kelderman and Molenaar's demonstration that a factor model with person specific factor loadings is almost indistinguishable from the standard factor model in terms of overall fit, we examined person specific measurement models in Item Response Theory, person specific discrimination and difficulty parameters were created by adding random ...
Alexandra Lane, Perez, Eric, Loken
openaire   +2 more sources

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