EQUIVALENCY OF THE DINA MODEL AND A CONSTRAINED GENERAL DIAGNOSTIC MODEL [PDF]
ETS Research Report Series, 2011 ABSTRACTThis report shows that the deterministic‐input noisy‐AND (DINA) model is a special case of more general compensatory diagnostic models by means of a reparameterization of the skill space and the design (Q‐) matrix of item by skills associations.
Matthias von Davier
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Evaluating the Fit of Sequential G-DINA Model Using Limited-Information Measures [PDF]
Applied Psychological Measurement, 2020 Wenchao Ma
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Research on the thermal hazard of N-Nitrodihydroxyethyl dinitrate (DINA) under the action of diethanolamine [PDF]
E3S Web of Conferences, 2021 N-Nitrodihydroxyethyl dinitrate (DINA) is a commonly used energetic material. In this work, the effect of diethanolamine (DEA) on the thermal stability of DINA was studied.
Li Yuehua +5 more
doaj +1 more source
The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination [PDF]
Journal of Educational Evaluation for Health Professions, 2021 Purpose Diagnostic classification models (DCMs) were developed to identify the mastery or non-mastery of the attributes required for solving test items, but their application has been limited to very low-level attributes, and the accuracy and consistency
Dong Gi Seo, Jae Kum Kim
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Estimation of Q-matrix for DINA Model Using the Constrained Generalized DINA Framework [PDF]
, 2016 The research of cognitive diagnostic models (CDMs) is becoming an important field of psychometrics. Instead of assigning one score, CDMs provide attribute profiles to indicate the mastering status of concepts or skills for the examinees. This would make the test result more informative.
Li, Huacheng
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BNMI-DINA: A Bayesian Cognitive Diagnosis Model for Enhanced Personalized Learning
Big Data and Cognitive Computing, 2023 In the field of education, cognitive diagnosis is crucial for achieving personalized learning. The widely adopted DINA (Deterministic Inputs, Noisy And gate) model uncovers students’ mastery of essential skills necessary to answer questions correctly ...
Yiming Chen, Shuang Liang
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Bilişsel Tanı Modellerinde Madde Düzeyinde Tanımlanmış En Uygun İndirgenmiş Modelinin Belirlenmesi
Necmettin Erbakan Üniversitesi Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 2023 Bu çalışmanın amacı, Q-matrisinde en az iki nitelik gerektiren maddeler için madde düzeyinde tanımlanan en uygun indirgenmiş modelin WALD, LR, 2LR ve LM test yöntemlerine göre belirlenmesidir.
Şeref Tan, Mahmut Sami Koyuncu
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Frontiers in Psychology, 2021 A mixture cognitive diagnosis model (CDM), which is called mixture multiple strategy-Deterministic, Inputs, Noisy “and” Gate (MMS-DINA) model, is proposed to investigate individual differences in the selection of response categories in multiple-strategy ...
Jiwei Zhang +4 more
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Language Testing in Asia, 2021 The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO).
Mahdieh Shafipoor +2 more
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On the Identifiability of Cognitive Diagnostic Models: Diagnosing Students’ Translation Ability
Journal of Language and Education, 2023 Background. In recent years Cognitive Diagnostic Models (CDMs) have attracted a great deal of attention from researchers in a variety of educational fields. However, they have not been taken into consideration in Translation Quality Assessment (TQA), in
Mona Tabatabaee-Yazdi, Aynaz Samir
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