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
Validation of a novel patient-reported measure of the burden of digital care in diabetes. [PDF]
Al Zahidy M +9 more
europepmc +1 more source
Risk Decisions in German Constitutional and Administrative Law [PDF]
Huber, Peter Michael, Woodman, Gordon R.
core +1 more source
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
Development of the TBQ+D: A Novel Patient-Reported Measure of The Burden of Digital Care. [PDF]
Al Zahidy M +7 more
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
Treatment burden and health literacy among patients referred to a vascular access clinic: a cross-sectional study. [PDF]
Edgar B +6 more
europepmc +1 more source
Robust Feature Matching for 3D Point Clouds with Progressive Consistency Voting. [PDF]
Quan S, Yin K, Ye K, Nan K.
europepmc +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
Survey data on citizens' perceptions of avian and their ecosystem services in Zhoushan. [PDF]
Qian W +8 more
europepmc +1 more source

