Results 91 to 100 of about 25,214 (257)
Asymptotic standard errors for reliability coefficients in item response theory
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
An Extension of the IRT to a Network Model
Summary: The traditional item response theory (IRT) models assume local independence, which is equivalent to the assumption of unidimensionality. This assumption states that a subject's responses to different items in a test are statistically independent.
openaire +2 more sources
Approximating multidimensionality with asymmetric unidimensional IRT models
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
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
Bias and precision in true‐score estimation
Abstract We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE).
L. Andries van der Ark +3 more
wiley +1 more source
L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Proteomics and functional validation reveal ITGA5 as a dual promoter of epithelial‐mesenchymal transition and anoikis resistance in human bronchial epithelium: targeting ITGA5 represents a novel therapeutic strategy for asthma airway remodelling. ABSTRACT Airway remodelling is a major contributor to persistent airflow limitation and irreversible lung ...
Ting Wang +10 more
wiley +1 more source
ABSTRACT Introduction Type 1 diabetes (T1D) is a chronic autoimmune disease, characterised by progressive destruction of the insulin‐producing pancreatic β‐cells. Preserving remaining β‐cells at the time of diagnosis may improve long‐term outcomes. Frexalimab is a humanised monoclonal antibody specific for CD40L undergoing evaluation for treatment of ...
Andriy Cherkas +11 more
wiley +1 more source
Background Rheumatoid Arthritis (RA) is an autoimmune disease in which HLA-DRB1 alleles encoding the “Shared Epitope” (SE), located in the β-chain of class II HLA-DR molecules, constitute the main genetic risk factor. However, there is scarce information
Miqueas Jaime +15 more
doaj +1 more source
ABSTRACT Introduction This paper describes the development and preliminary validation of the Partial Denture Experience Questionnaire (P‐DEQ), a new, condition‐specific instrument designed to measure the multifaceted impacts of living with removable dentures. Methods The P‐DEQ was developed using a multi‐phase, mixed‐methods design. Item generation was
Barry J. Gibson +6 more
wiley +1 more source

