Results 151 to 160 of about 8,348,933 (325)
IRT‐based response style models and related methodology: Review and commentary
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
Context. Estimating properties of star clusters from unresolved broadband photometry is a challenging problem that is classically tackled using spectral energy distribution (SED) fitting methods that are based on simple stellar population models. However,
Walter Daniel +10 more
doaj +1 more source
Partially Adaptive Estimation via Maximum Entropy Densities [PDF]
We propose a partially adaptive estimator based on information theoretic maximum entropy estimates of the error distribution. The maximum entropy (maxent) densities have simple yet flexible functional forms to nest most of the mathematical distributions.
Thanasis Stengos, Ximing Wu
core
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio. [PDF]
Fu Y, Wang H, Wong A.
europepmc +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
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
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Residual head motion artifact in motion-corrected resting-state (rs-) functional MRI (fMRI) and fMRI datasets reduces the temporal signal-to-noise ratio and leaves non-neuronal signal components in the data, which can induce false findings in these ...
Wanyong Shin, Paul Taylor, Mark J. Lowe
doaj +1 more source
Advancing the understanding of the human dimensions of Eurasian lynx reintroduction in Scotland
To identify perceived impacts of a lynx reintroduction among stakeholders and to explore factors shaping these perceptions, we conducted 34 unstructured interviews with stakeholders within and in potentially suitable habitat for a lynx reintroduction and surrounding areas in Scotland.
Faye L. Whiley +4 more
wiley +1 more source
Postprandial Glucagon Action in the Human Brain
ABSTRACT Aims Elevated fasting glucagon is linked to hyperglycemia, but postprandial glucagon effects are less understood. Recent evidence suggests metabolic benefits of rising glucagon after oral glucose intake, potentially impacting brain‐mediated whole‐body metabolism.
Robert Wagner +11 more
wiley +1 more source

