Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity. [PDF]
PsychometrikaSuh YS, Bonifay W, Cai L.
europepmc +1 more source
An extension of the basic local independence model to multiple observed classifications
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
Detection and classification of microplastics in green tea using SERS with gold nanoparticle substrates integrating chemometrics and deep learning. [PDF]
Curr Res Food SciJoshi R, Adhikari S, Lee D, Cho BK.
europepmc +1 more source
Reliability measures in knowledge structure theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole +3 more
wiley +1 more source
Infinite Mixture Models for Improved Modeling of Across-Site Evolutionary Variation. [PDF]
Mol Biol EvolGill MS, Baele G, Suchard MA, Lemey P.
europepmc +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
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Advanced topic modeling with large language models: analyzing social media content from dementia caregivers. [PDF]
Innov AgingHe W +10 more
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British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Hierarchical Differentiable Fluid Simulation
Computer Graphics Forum, EarlyView.We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
Improving ulcerative colitis prospects through fecal microbiota transfer: atypical donor microbiota can boost success rate. [PDF]
Gut Microbesvan de Guchte M +5 more
europepmc +1 more source