Results 111 to 120 of about 9,412 (262)
The Value of Controlling Wilding Conifers in New Zealand
Australian Journal of Agricultural and Resource Economics, EarlyView.ABSTRACT Exotic, invasive conifer tree species, known as ‘wilding conifers’, pose a significant threat to natural ecosystems and are costly to manage, creating a need to identify community preferences in order to inform and balance public investment in their control.
Maksym Polyakov +6 more
wiley +1 more source
The British Journal of Sociology, EarlyView.ABSTRACT This article examines the relationship between encounters with religious diversity and the perspectives people form about Muslims. Its empirical focus is individuals studying at UK universities. Previous research suggests Muslims are amongst those most subject to negative prejudice in the UK, this being structured around racial or ethnic ...
Tom Fryer +3 more
wiley +1 more source
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Real Estate Economics, EarlyView.Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
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