Results 11 to 20 of about 475,676 (254)
Q-Matrix Designs of Longitudinal Diagnostic Classification Models With Hierarchical Attributes for Formative Assessment [PDF]
Frontiers in Psychology, 2020 Longitudinal diagnostic classification models (DCMs) with hierarchical attributes can characterize learning trajectories in terms of the transition between attribute profiles for formative assessment.
Wei Tian +3 more
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A Residual-Based Approach to Validate Q-Matrix Specifications. [PDF]
Appl Psychol Meas, 2017 Q-matrix validation is of increasing concern due to the significance and subjective tendency of Q-matrix construction in the modeling process. This research proposes a residual-based approach to empirically validate Q-matrix specification based on a combination of fit measures.
Chen J.
europepmc +4 more sources
Online Item Calibration for Q-Matrix in CD-CAT. [PDF]
Appl Psychol Meas, 2015 Item replenishment is important for maintaining a large-scale item bank. In this article, the authors consider calibrating new items based on pre-calibrated operational items under the deterministic inputs, noisy-and-gate model, the specification of which includes the so-called [Formula: see text]-matrix, as well as the slipping and guessing parameters.
Chen Y, Liu J, Ying Z.
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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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On the Consistency of Q-Matrix Estimation: A Rejoinder [PDF]
Psychometrika, 2017 This rejoinder responds to the commentary by Liu (Psychometrika, 2015) entitled “On the consistency of Q-matrix estimation: A commentary” on the paper “A general method of empirical Q-matrix validation” by de la Torre and Chiu (Psychometrika, 2015). It discusses and addresses three concerns raised in the commentary, namely the estimation accuracy when ...
Chiu, CY, de la Torre, J
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Sufficient and Necessary Conditions for the Identifiability of the Q-matrix [PDF]
Statistica Sinica, 2021 Restricted latent class models (RLCMs) have recently gained prominence in educational assessment, psychiatric evaluation, and medical diagnosis. Different from conventional latent class models, restrictions on the RLCM model parameters are imposed by a design matrix to respect practitioners' scientific assumptions.
Gu, Yuqi, Xu, Gongjun
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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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