Results 121 to 130 of about 9,300 (265)

Estimating the reliability of round‐robin judgments with social relations confirmatory factor analyses

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The social relations model (SRM) is commonly used in psychological research to analyse interdependent data from round‐robin designs, where all members of a group rate each other. Based on the recently suggested social relations confirmatory factor analysis (SR‐CFA), we present general formulas for determining the reliability of composites of ...
Steffen Nestler, Oliver Lüdtke, Alexander Robitzsch   +2 more
wiley   +1 more source

Asymptotic standard errors for reliability coefficients in item response theory

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley   +1 more source

Composite marginal likelihood estimation of higher‐order diagnostic classification models under high dimensionality

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley   +1 more source

Calibrating Bayesian inference

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu, Jonathan P. Williams, Jan Hannig   +2 more
wiley   +1 more source

Review of cognitive diagnostic models (CDMs): Recent methodological advancements for addressing practical challenges

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley   +1 more source

Revisiting reliability and measurement precision: Towards a unified perspective

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This article revisits the concepts of reliability and measurement precision across classical test theory (CTT), item response theory (IRT) and cognitive diagnosis models (CDMs), emphasizing their conceptual differences and proposing a unified framework.
Jimmy de la Torre, Klaas Sijtsma, Rodrigo Schames Kreitchmann   +2 more
wiley   +1 more source

A-posteriori error estimators and RFB

, 2016
We derive a posteriori bounds for the residual-free bubble (RFB) method for the solution of convection-dominated diffusion equations. Both linear functional error control and energy norm error control are considered. The implementation of a reliable and efficient $h$ adaptive algorithm is discussed.
Cangiani, A, Suli, E
openaire   +1 more source

On the asymmetry, complexity and predicted data patterns of nontraditional item response theory models

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

Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models. [PDF]

Magn Reson Med
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Ghorbani R, Rikhab Chand J, Lee CY, Jacob M, Mani M.   +4 more
europepmc   +2 more sources

A regularised latent‐class item response model for detecting measurement non‐invariance in ordinal response scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Measurement non‐invariance arises when the psychometric properties of a scale differ across subgroups, undermining the validity of group comparisons. At the item level, this manifests as differential item functioning (DIF), where item responses differ across groups after controlling for the latent trait.
Gabriel Wallin, Qi Huang
wiley   +1 more source