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The Q-Matrix Anchored Mixture Rasch Model [PDF]
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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Theorems and Methods of a Complete Q Matrix With Attribute Hierarchies Under Restricted Q-Matrix Design [PDF]
Frontiers in Psychology, 2018 The design of test Q matrix can directly influence the classification accuracy of a cognitive diagnostic assessment. In this paper, we focus on Q matrix design when attribute hierarchies are known prior to test development.
Yan Cai, Dongbo Tu, Shuliang Ding
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A Semi-supervised Learning Method for Q-Matrix Specification Under the DINA and DINO Model With Independent Structure [PDF]
Frontiers in Psychology, 2020 Cognitive diagnosis assessment (CDA) can be regarded as a kind of formative assessments because it is intended to promote assessment for learning and modify instruction and learning in classrooms by providing the formative diagnostic information about ...
Wenyi Wang +5 more
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Applying GenAI to Optimize Q-Matrix Construction for Cognitive Diagnostic Assessment in EFL Reading [PDF]
Journal of IntelligenceQ-matrix construction is a foundational yet challenging step in cognitive diagnostic assessment (CDA), which is traditionally reliant on labor-intensive and subjective methods like expert judgment and verbal report analysis.
Wenbo Du, Jiayi Shen, Xiaomei Ma
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Revision Q-matrix in middle school chemistry: a structural equation modeling approach [PDF]
Frontiers in PsychologyThe Q-matrix serves as a bridge that links items and attributes, and its accuracy affects the results of cognitive diagnosis. Inaccuracy of the Q-matrix are a common issue frequently encountered in cognitive diagnosis research.
Shiwei Lin +4 more
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Cognitive Diagnostic Assessment: Critical Review of Iranian Studies [PDF]
پژوهشهای کاربردی روانشناختی, 2021 Over the past decade, cognitive diagnostics has been favored by educational researchers as an approach to assessing student achievement, but the use of DCMs has been criticized.
Maryam Mohsenpour, Azam Moghadam
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A Deterministic Learning Algorithm Estimating the Q-Matrix for Cognitive Diagnosis Models
Mathematics, 2021 The goal of an exam in cognitive diagnostic assessment is to uncover whether an examinee has mastered certain attributes. Different cognitive diagnosis models (CDMs) have been developed for this purpose.
Meng-Ta Chung, Shui-Lien Chen
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Physics Letters B, 2021 The Gaussian matrix model is known to deform to the q,t-matrix model. We consider further deformation to the elliptic q,t matrix model by properly deforming the Gaussian density as well as the Vandermonde factor.
Andrei Mironov, Alexei Morozov
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Large-scale Assessments in Education, 2022 In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or “Q-matrix”) designed by subject-matter experts has been a great challenge to real-world applications.
Jolien Delafontaine +3 more
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A LINEAR LOGISTIC TEST MODEL (LLTM) APPLICATION IN FOREIGN LANGUAGE TESTING [PDF]
Istraživanja u PedagogijiThis study applies the Linear Logistic Test Model (LLTM) to the reading comprehension subtest of an English certification exam developed by the Foreign Language Assessment Program (PELEx, for its acronym in Spanish).
Jose Fabián Elizondo-González +1 more
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