Výsledky vyhledávání - "Wallin, Gabriel"

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Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting

In test equating, ensuring score comparability across different test forms is crucial but particularly challenging when test groups are non-equivalent and no anchor test is available. Local test equating aims to satisfy Lord's equity requirement by c

Externí odkaz: http://arxiv.org/abs/2410.22989

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A Latent Variable Model with Change Points and Its Application to Time Pressure Effects in Educational Assessment

Autor: Wallin, Gabriel, Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou

Educational assessments are valuable tools for measuring student knowledge and skills, but their validity can be compromised when test takers exhibit changes in response behavior due to factors such as time pressure. To address this issue, we introdu

Externí odkaz: http://arxiv.org/abs/2410.22300

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DIF Analysis with Unknown Groups and Anchor Items

Autor: Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini

Ensuring fairness in instruments like survey questionnaires or educational tests is crucial. One way to address this is by a Differential Item Functioning (DIF) analysis, which examines if different subgroups respond differently to a particular item,

Externí odkaz: http://arxiv.org/abs/2305.00961

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Rotation to Sparse Loadings using $L^p$ Losses and Related Inference Problems

Autor: Liu, Xinyi, Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini

Researchers have widely used exploratory factor analysis (EFA) to learn the latent structure underlying multivariate data. Rotation and regularised estimation are two classes of methods in EFA that they often use to find interpretable loading matrice

Externí odkaz: http://arxiv.org/abs/2206.02263

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Dissertation/ Thesis

Misspecification and inference : A review and case studies

Autor: Wallin, Gabriel

When conducting inference we usually have to make some assumptions. A common assumption is that the parametric model which describes the behavior of the investigated random phenomena is correctly specied. If not, some of the inferential methods does

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105135

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