Results 191 to 200 of about 4,521,299 (288)

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, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Implementation and analysis of quantum majority rules under noisy conditions. [PDF]

Sci Rep
Amit G, Idan Y, Suleymanov M, Razo L, Cohen E.   +4 more
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, Andrea Spoto, Umberto Granziol, Luca Stefanutti   +3 more
wiley   +1 more source

Dirichlet-Swing: understanding spatio-temporal aspects of political elections in heterogeneous societies through agent-based simulation. [PDF]

PLoS One
Mitra A.
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
wiley   +1 more source

The cost-effectiveness of telestroke in the treatment of acute ischemic stroke in China. [PDF]

Health Econ Rev
Huang L, Li X, Liu H, Zhou W, Zhang H.
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

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

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

A Machine Learning Pipeline to Analyze Global Sentiment and Factors Influencing Retinoblastoma Treatment Hesitancy: Observational Infodemiology Study. [PDF]

J Med Internet Res
Wong ES, Choy RW, Tang EW, Zhang Y, Zhang XJ, Zhou L, Chu WK, Chen LJ, Tham CC, Pang CP, Yam JC.   +10 more
europepmc   +1 more source

Review of cognitive diagnostic models (CDMs): Recent methodological advancements for addressing practical challenges

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley   +1 more source