Results 11 to 20 of about 2,360,540 (285)

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   +5 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   +5 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   +5 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   +5 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   +4 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   +4 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   +4 more sources

Framing Named Entity Linking Error Types [PDF]

Proceedings of the Language Resources and Evaluation Conference, 2018
Named Entity Linking (NEL) and relation extraction forms the backbone of Knowledge Base Population tasks. The recent rise of large open source Knowledge Bases and the continuous focus on improving NEL performance has led to the creation of automated benchmark solutions during the last decade.
Brasoveanu, Adrian M. P., Rizzo, Giuseppe, Kuntschick, Philipp, Weichselbraun, Albert, Nixon, Lyndon J. B.   +4 more
openaire   +4 more sources

Publishing Linked Data with Correction Weights [PDF]

International Journal of Population Data Science
Data linkage is often used to make inferences from distinct data sources. The data may be linked by a set of variables with high discrimination, for example, a social security number or some personal information.
An-Chiao Liu, Peter Lugtig, Sander Scholtus, Ton de Waal   +3 more
doaj   +2 more sources

Visual Error Analysis for Entity Linking

Proceedings of ACL-IJCNLP 2015 System Demonstrations, 2015
We present the Visual Entity Explorer (VEX), an interactive tool for visually exploring and analyzing the output of entity linking systems. VEX is designed to aid developers in improving their systems by visualizing system results, gold annotations, and various mention detection and entity linking error types in a clear, concise, and customizable ...
Benjamin Heinzerling, Michael Strube 0001   +1 more
openaire   +3 more sources