Results 1 to 10 of about 475,676 (254)
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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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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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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Data-Driven Learning of Q-Matrix. [PDF]
Appl Psychol Meas, 2012 The recent surge of interests in cognitive assessment has led to developments of novel statistical models for diagnostic classification. Central to many such models is the well-known Q-matrix, which specifies the item–attribute relationships. This article proposes a data-driven approach to identification of the Q-matrix and estimation of related model ...
Liu J, Xu G, Ying Z.
europepmc +4 more sources
Investigation of Missing Responses in Q-Matrix Validation. [PDF]
Appl Psychol Meas, 2018 Missing data can be a serious issue for practitioners and researchers who are tasked with Q-matrix validation analysis in implementation of cognitive diagnostic models. The article investigates the impact of missing responses, and four common approaches (treat as incorrect, logistic regression, listwise deletion, and expectation–maximization [EM ...
Dai S, Svetina D, Chen C.
europepmc +5 more sources
A Two-Step Q-Matrix Estimation Method. [PDF]
Appl Psychol MeasCognitive Diagnosis Models in educational measurement are restricted latent class models that describe ability in a knowledge domain as a composite of latent skills an examinee may have mastered or failed. Different combinations of skills define distinct latent proficiency classes to which examinees are assigned based on test performance.
Köhn HF +4 more
europepmc +3 more sources
An EM-Based Method for Q-Matrix Validation. [PDF]
Appl Psychol Meas, 2018 With the purpose to assist the subject matter experts in specifying their Q-matrices, the authors used expectation–maximization (EM)–based algorithm to investigate three alternative Q-matrix validation methods, namely, the maximum likelihood estimation (MLE), the marginal maximum likelihood estimation (MMLE), and the intersection ...
Wang W +5 more
europepmc +4 more sources
Theory of the Self-learning Q-Matrix. [PDF]
Bernoulli (Andover), 2013 Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the correct identification of attributes associated with items in a test. In this paper, we set up a mathematical framework under which theoretical properties may be discussed ...
Liu J, Xu G, Ying Z.
europepmc +4 more sources