Results 1 to 10 of about 233,504 (156)

Linking Error in the 2PL Model

J, 2023
The two-parameter logistic (2PL) item response model is likely the most frequently applied item response model for analyzing dichotomous data. Linking errors quantify the variability in means or standard deviations due to the choice of items.
Alexander Robitzsch
doaj   +4 more sources

Linking Error Estimation in Stocking–Lord Linking

Foundations
Stocking–Lord (SL) linking is a widely used linking method based on item response theory (IRT). This article examines the variability in SL linking parameter estimates within the two-parameter logistic (2PL) model.
Alexander Robitzsch
doaj   +4 more sources

Linking Error Estimation in Haberman Linking

AppliedMath
Haberman linking is a widely used method for comparing groups using the two-parameter logistic item response model. However, the traditional Haberman linking approach relies on joint item parameter estimation, which prevents the application of standard M-
Alexander Robitzsch
doaj   +4 more sources

Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model

Stats
The two-parameter logistic (2PL) item response theory model is a statistical model for analyzing multivariate binary data. In this article, two groups are brought onto a common metric using the 2PL model using linking methods. The linking methods of mean–
Alexander Robitzsch
doaj   +4 more sources

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

AppliedMath, 2023
Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
doaj   +3 more sources

A practical and nuanced framework for entity linking evaluation [PDF]

Journal of Biomedical Semantics
Background Entity linking maps textual mentions with entities in vocabularies. While accuracy is the primary metric for entity linking evaluation, it fails to capture the complexity of model behaviour.
Fuqi Xu, Goran Nenadic, Robert Stevens
doaj   +2 more sources

Bias and Linking Error in Fixed Item Parameter Calibration

AppliedMath
The two-parameter logistic (2PL) item response theory (IRT) model is frequently applied to analyze group differences for multivariate binary random variables.
Alexander Robitzsch
doaj   +3 more sources

Topography-Guided Transepithelial Accelerated Corneal Collagen Cross-Linking for Low Refractive Error Correction in Keratoconus Treatment: A Pilot Study

Frontiers in Bioengineering and Biotechnology, 2022
Purpose: To investigate the safety and efficacy of topography-guided transepithelial accelerated corneal collagen cross-linking for low refractive error correction in patients with keratoconus.Methods: This was a prospective self-controlled study ...
Ling Sun, Ling Sun, Xiaoyu Zhang, Xiaoyu Zhang, Mi Tian, Mi Tian, Yang Shen, Yang Shen, Jing Zhao, Jing Zhao, Xingtao Zhou, Xingtao Zhou   +11 more
doaj   +3 more sources

Linking Error Estimation in Fixed Item Parameter Calibration: Theory and Application in Large-Scale Assessment Studies

Foundations
In fixed item parameter calibration (FIPC), an item response theory (IRT) model is estimated with item parameters fixed at reference values to estimate the distribution parameters within a specific group.
Alexander Robitzsch
doaj   +3 more sources

Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies

Molecular Systems Biology
Cross-linking mass spectrometry (XL-MS) allows characterizing protein-protein interactions (PPIs) in native biological systems by capturing cross-links between different proteins (inter-links).
Boris Bogdanow, Max Ruwolt, Julia Ruta, Lars Mühlberg, Cong Wang, Wen-feng Zeng, Arne Elofsson, Fan Liu   +7 more
doaj   +2 more sources