Results 31 to 40 of about 13,881,053 (181)
Estimasi Parameter Item dan Latent Class dengan Model Dina untuk Diagnosis Kesulitan Belajar
Jurnal Ilmu Pendidikan, 2013 : Estimation of Item Parameter and Latent Class with DINA Model to Diagnose Learning Difficulties. This study aims to estimate item parameter of diagnostic test developed with DINA model and identify attribute profiles of each test participant.
- Kusaeri, - Suryanto, - Kumaidi
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A diagnostic test for math literacy cognitive competencies [PDF]
فصلنامه نوآوریهای آموزشی, 2015 Over the recent decade cognitive diagnostic measurement approach in spite of the prevalent (common) educational measurement approaches such as classic theory and item-response theory has attained a special status, because this approach integrates ...
Maryam Mohsen Pour, PhD Candidate +4 more
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Estimating CDMs Using the Slice-Within-Gibbs Sampler
Frontiers in Psychology, 2020 In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu +4 more
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Dealing with Missing Responses in Cognitive Diagnostic Modeling
Psych, 2022 Missing data are a common problem in educational assessment settings. In the implementation of cognitive diagnostic models (CDMs), the presence and/or inappropriate treatment of missingness may yield biased parameter estimates and diagnostic information.
Shenghai Dai, Dubravka Svetina Valdivia
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A numerical study of orographic forcing on TC Dina (2002) in South West Indian Ocean [PDF]
Annales Geophysicae, 2013 Using the French non-hydrostatic mesoscale numerical model Méso-NH, intense tropical cyclone (TC) Dina (2002) is simulated to investigate the forcing caused by the steep orography of Réunion island (20.8° S, 55.5° E) in the southwest Indian Ocean. The
S. Jolivet +4 more
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Journal of Educational and Behavioral Statistics, 2023 The nonparametric classification (NPC) method has been proven to be a suitable procedure for cognitive diagnostic assessments at a classroom level. However, its nonparametric nature impedes the obtention of a model likelihood, hindering the exploration of crucial psychometric aspects, such as model fit or reliability.
Pablo Nájera +3 more
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Multilevel Modeling of Cognitive Diagnostic Assessment: The Multilevel DINA Example [PDF]
Applied Psychological Measurement, 2018 Many multilevel linear and item response theory models have been developed to account for multilevel data structures. However, most existing cognitive diagnostic models (CDMs) are unilevel in nature and become inapplicable when data have a multilevel structure.
Wen-Chung Wang, Xue-Lan Qiu
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Hierarchical Diagnostic Classification Modeling of Reading Comprehension
SAGE Open, 2020 The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly.
Mona Tabatabaee-Yazdi
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Don’t worry about the anchor-item setting in longitudinal learning diagnostic assessments
Frontiers in Psychology, 2023 Previous longitudinal assessment experiences for multidimensional continuous latent constructs suggested that the set of anchor items should be proportionally representative of the total test forms in content and statistical characteristics and that they
Xinyue Yu +3 more
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Category-Level Model Selection for the Sequential G-DINA Model [PDF]
Journal of Educational and Behavioral Statistics, 2018 Solving a constructed-response item usually requires successfully performing a sequence of tasks. Each task could involve different attributes, and those required attributes may be “condensed” in various ways to produce the responses. The sequential generalized deterministic input noisy “and” gate model is a general cognitive diagnosis model (CDM) for ...
Wenchao Ma, Jimmy de la Torre
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