Results 121 to 130 of about 9,409 (258)
Behavioural state identification from ultra‐high‐frequency movement data
Methods in Ecology and Evolution, EarlyView.Abstract The hidden Markov model (HMM) is a central framework for identifying behavioural state changes from animal movement data. In this context, movement is typically represented as a sequence of observed metrics, such as step length and turning angle distributions, generated by an unobserved behavioural state process.
Abdulmajeed F. Alharbi +4 more
wiley +1 more source
Spatially realistic dynamic N‐mixture models
Methods in Ecology and Evolution, EarlyView.Abstract Dispersal is a complex ecological process that can be driven by the abiotic environment, density‐dependent processes and species mobility. Traditionally, dispersal has been studied with capture‐based data that are often limited in space and time. More recently, spatial dynamic N‐mixture models (i.e.
Qing Zhao +5 more
wiley +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Agricultural subsidies can be an effective policy tool to enhance soil organic carbon sequestration. This paper assesses the effectiveness of a second‐best hypothetical policy which subsidizes additional canola hectares optimally for each soil zone in Saskatchewan in an effort to increase soil organic carbon.
Devin A. Serfas
wiley +1 more source
Motivational ecologies in AI‐supported classrooms: Teachers and ChatGPT as dual agents
British Journal of Educational Psychology, EarlyView.Abstract Background Generative artificial intelligence (GenAI) tools such as ChatGPT are increasingly integrated into classroom practice, yet their motivational–emotional implications remain insufficiently understood. Situated expectancy–value theory (SEVT) conceptualizes motivation and emotion as embedded in contextual affordances, raising the ...
Sabine Schweder
wiley +1 more source
British Journal of Educational Technology, EarlyView.Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin +7 more
wiley +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
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
Approximating multidimensionality with asymmetric unidimensional IRT models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Unidimensional item response theory (IRT) models are widely used even in settings where assessment data exhibit subtle forms of multidimensionality. Recent empirical evidence suggests that when item difficulty is associated with dimensionality, asymmetric item characteristic curves (ICCs) emerge in the unidimensional approximation.
Xiangyi Liao +5 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Traditional item response theory (IRT) models involve symmetric response probability functions, but a developing area of research has focused on asymmetric alternatives. To date, these studies have focused primarily on introducing new asymmetric models, detailing their mathematical formulations, explaining how to interpret their item ...
Hyejin Shim, Wes Bonifay
wiley +1 more source
Community Dentistry and Oral Epidemiology, EarlyView.ABSTRACT Objectives To investigate the association of sociodemographic characteristics and dental service utilisation with clusters of oral health conditions among Brazilian five‐year‐old children. Methods Secondary data on five‐year‐old children (N = 4354) from the Brazilian National Oral Health Survey (SB Brasil 2023) were analysed.
Pedro Henrique Duarte França de Castro +2 more
wiley +1 more source