Mean–geometric mean linking - Open Access .click

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Extensions to Mean–Geometric Mean Linking

Mathematics
Mean-geometric mean (MGM) linking is a widely used method for linking two groups within the two-parameter logistic (2PL) item response model. However, the presence of differential item functioning (DIF) can lead to biased parameter estimates using the ...
Alexander Robitzsch
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Bias Reduction in Robust Mean–Geometric Mean Linking via SIMEX

Algorithms
Robust mean–geometric mean (MGM) linking is a method for comparing the performance of two groups on a test involving dichotomous items and is particularly suited to settings with fixed and sparse differential item functioning (DIF).
Alexander Robitzsch
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Comparing Different Specifications of Mean–Geometric Mean Linking

Foundations
Mean–geometric mean (MGM) linking compares group differences on a latent variable θ within the two-parameter logistic (2PL) item response theory model.
Alexander Robitzsch
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Assessing Standard Error Estimation Approaches for Robust Mean-Geometric Mean Linking

AppliedMath
Robust mean-geometric mean (MGM) linking methods enable reliable group comparisons in item response theory models under fixed and sparse differential item functioning.
Alexander Robitzsch
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WingShape-Warn: A Morphology-Driven Early-Warning Pipeline for Mosquito-Borne Disease Surveillance [PDF]

Insects
Environmental stressors—including climate change, urbanisation, and pollution—are increasingly altering the wing morphology of mosquito vectors. These morphological shifts, particularly in wing geometry, can serve as early-warning indicators for mosquito
Yanrui Chen, Xue Wang, Tao Jiang, Zhihua Wang +3 more
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Robust-Mean–Geometric-Mean and Robust Haberman Linking with Invariant Item Discriminations Under Sparse Differential Item Functioning

Mathematics
Comparison of two or multiple groups based on dichotomous items is a central task in item response theory (IRT) linking. This article considers the two-parameter logistic scaling model under sparse differential item functioning (DIF) in item intercepts ...
Alexander Robitzsch
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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
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REGISTRATION OF REMOTE SENSING IMAGES BASED ON FEATURE FUSION TECHNIQUES [PDF]

International Journal of Intelligent Computing and Information Sciences, 2016
Geometric correction is used to correct the registration errors in remotely sensed images. These images are often compared to ground control points (GCPs) either by using an accurate map (image to map) or using another geo-referenced image (image to ...
M. Asker +3 more
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Review of calculating the electrical conductivity of mineral aggregates from constituent conductivities

Solid Earth Sciences, 2021
The electrical conductivity of mineral aggregates depends both on the properties of the constitutive minerals and the ways those minerals are assembled.
Kui Han, Simon Martin Clark
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Petrophysical Joint Inversion Applied to Alpine Permafrost Field Sites to Image Subsurface Ice, Water, Air, and Rock Contents

Frontiers in Earth Science, 2020
Quantification of ground ice is crucial for understanding permafrost systems and modeling their ongoing degradation. The volumetric ice content is however rarely estimated in permafrost studies, as it is particularly difficult to retrieve.
Coline Mollaret +4 more
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item response model
2pl model
differential item functioning