Results 151 to 160 of about 16,026 (302)
Residual diagnostics for assessing closed population capture–recapture models
Methods in Ecology and Evolution, EarlyView.Abstract Capture–recapture models provide a statistical framework for estimating demographic parameters from incomplete observation data, where not all individuals in a population are detected during sampling. Assessing the fit of such models is crucial for reliable inference.
Jakub Stoklosa +2 more
wiley +1 more source
Inference on state occupancy in covariate‐driven hidden Markov models
Methods in Ecology and Evolution, EarlyView.Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken +2 more
wiley +1 more source
Based on recent work by Fox and Andersen (2006), this paper describes substantial extensions to the effects package for R to construct effect displays for multinomial and proportional-odds logit models.
Jangman Hong, John Fox
core
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
A High-dimensional Multinomial Logit Model
Journal of Applied EconometricsThe number of parameters in a standard multinomial logit model increases linearly with the number of choice alternatives and number of explanatory variables. Since many modern applications involve large choice sets with categorical explanatory variables, which enter the model as large sets of binary dummies, the number of parameters in a multinomial ...
openaire +2 more sources
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