DINA Model with Entropy Penalization
Mathematics, 2023 The cognitive diagnosis model (CDM) is an effective statistical tool for extracting the discrete attributes of individuals based on their responses to diagnostic tests.
Juntao Wang, Yuan Li
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Bayesian Estimation of the DINA Model With Pólya-Gamma Gibbs Sampling [PDF]
Frontiers in Psychology, 2020 With the increasing demanding for precision of test feedback, cognitive diagnosis models have attracted more and more attention to fine classify students whether has mastered some skills.
Zhaoyuan Zhang +3 more
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Assessing Item-Level Fit for the DINA Model [PDF]
Applied Psychological Measurement, 2015 This research focuses on developing item-level fit checking procedures in the context of diagnostic classification models (DCMs), and more specifically for the “Deterministic Input; Noisy ‘And’ gate” (DINA) model. Although there is a growing body of literature discussing model fit checking methods for DCM, the item-level fit analysis is not adequately ...
Gongjun Xu, Zhuoran Shang
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Cognitively Diagnostic Analysis Using the G-DINA Model in R [PDF]
Psych, 2021 Cognitive diagnosis models (CDMs) have increasingly been applied in education and other fields. This article provides an overview of a widely used CDM, namely, the G-DINA model, and demonstrates a hands-on example of using multiple R packages for a ...
Qingzhou Shi +4 more
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Estimation of item parameters and examinees’ mastery probability in each domain of the Korean Medical Licensing Examination using a deterministic inputs, noisy “and” gate (DINA) model [PDF]
Journal of Educational Evaluation for Health Professions, 2020 Purpose The deterministic inputs, noisy “and” gate (DINA) model is a promising statistical method for providing useful diagnostic information about students’ level of achievement, as educators often want to receive diagnostic information on how examinees
Younyoung Choi, Dong Gi Seo
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Research on the Cognitive Diagnosis of Chinese Listening Comprehension Ability Based on the G-DINA Model [PDF]
Frontiers in Psychology, 2021 As a new generation of measurement theory, cognitive diagnosis theory shows significant potential and advantages in educational evaluation in that it combines a cognitive process and a measurement method.
Li Li, Yi An, Jie Ren, Xiaoman Wei
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On a Reparameterization of the MC-DINA Model [PDF]
Applied Psychological MeasurementThe MC-DINA model is a cognitive diagnosis model (CDM) for multiple-choice items that was introduced by de la Torre (2009). The model extends the usual CDM in two basic ways: it allows for nominal responses instead of only dichotomous responses, and it allows skills to affect not only the choice of the correct response but also the choice of ...
DeCarlo LT.
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Empirical research on cognitive diagnosis of scientific argumentation ability based on the DINA model [PDF]
Frontiers in PsychologyThis study focuses on the cognitive diagnosis (CD) of scientific argumentation ability. A hierarchical model of six cognitive attributes was developed by expert cognitive analysis, utilizing the Toulmin Argument Model and SOLO Taxonomy theory.
Lou Baidan, Cui Yi
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Fine-Grained Intelligent Learning Diagnosis Model Based on the Exercise–Knowledge–Cognition Tensor for Educational Assessment [PDF]
Behavioral SciencesAccurate and interpretable learning diagnosis is increasingly required in AI-enabled educational assessment. Existing cognitive diagnostic models typically represent item attributes with a binary Q-matrix and infer mastered or not mastered knowledge ...
Chunyan Zeng, Yulin Hou, Zhifeng Wang
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Model Data Fit Comparison between DINA and G-DINA in Cognitive Diagnostic Models [PDF]
Education Journal, 2013 In this study, item and model data fit indices, calculated by DINA and G-DINA Models using the same sample and Q matrix, are analyzed. Fit indices for these two models from Cognitive Diagnostic Models are analyzed using 2LL, AIC and BIC statistics. Item fit indices are analyzed using residual correlations and probabilities.
KELECİOĞLU, HÜLYA +2 more
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