Results 201 to 210 of about 11,203 (263)

Social and emotional pathways to shame reduction: An RCT with preservice teachers

British Journal of Educational Psychology, EarlyView.
Abstract Background Shame is an unpleasant, activating emotion that has been shown to undermine learners' motivation and achievement and identity development in mathematics education. Recent studies have implemented positive psychology interventions (PPIs) to reduce preservice teachers' shame in mathematics, with promising quantitative outcomes ...
Lara Gildehaus, Lars Meyer‐Jenßen
wiley   +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, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Howe Duality and Dynamical Weyl Group. [PDF]

Transform Groups
Dalipi R, Felder G, Gurenkova A.
europepmc   +1 more source

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal, Alberto Cassese, Math J. J. M. Candel, Sophie Vanbelle   +3 more
wiley   +1 more source

The Lie Group Basis of Neuronal Membrane Architecture: Why the Hodgkin-Huxley Equations Take Their Form. [PDF]

Membranes (Basel)
Melendy RF, Blue DH.
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

Towards Lightweight and Multi-Scale Scene Classification: A Lie Group-Guided Deep Learning Network with Collaborative Attention. [PDF]

J Imaging
Xu X, Xu C.
europepmc   +1 more source

Connections between the basic local independence model and true and error models in the study of preference

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Two classes of probabilistic models are compared: the true and error (TE) type models and models in the family of the basic local independence model (BLIM). The former finds applications in the study of human preference, whereas the latter has been developed within the theory of knowledge structures with the aim of producing knowledge ...
Luca Stefanutti, Andrea Brancaccio, Debora de Chiusole   +2 more
wiley   +1 more source

Highest-Weight Vectors and Three-Point Functions in GKO Coset Decomposition. [PDF]

Commun Math Phys
Bershtein M, Feigin B, Trufanov A.
europepmc   +1 more source

New estimation methods for diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley   +1 more source