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An Extension of the DINA Model Using Covariates
Applied Psychological Measurement, 2014When students solve problems, their proficiency in a particular subject may influence how well they perform in a similar, but different area of study. For example, studies have shown that science ability may have an effect on the mastery of mathematics skills, which in turn may affect how examinees respond to mathematics items.
Yoon Soo Park, Young-Sun Lee
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DINA Model and Parameter Estimation: A Didactic
Journal of Educational and Behavioral Statistics, 2009Cognitive and skills diagnosis models are psychometric models that have immense potential to provide rich information relevant for instruction and learning. However, wider applications of these models have been hampered by their novelty and the lack of commercially available software that can be used to analyze data from this psychometric framework. To
Jimmy de la Torre
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Inferring the Number of Attributes for the Exploratory DINA Model
Psychometrika, 2021Diagnostic classification models (DCMs) are widely used for providing fine-grained classification of a multidimensional collection of discrete attributes. The application of DCMs requires the specification of the latent structure in what is known as the
Yinghan Chen +3 more
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A Unified Theory of the Completeness of Q-Matrices for the DINA Model
Journal of Classification, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hans-Friedrich Köhn, Chia-Yi Chiu
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A Note on the Invariance of the DINA Model Parameters
Journal of Educational Measurement, 2010Cognitive diagnosis models (CDMs), as alternative approaches to unidimensional item response models, have received increasing attention in recent years. CDMs are developed for the purpose of identifying the mastery or nonmastery of multiple fine‐grained attributes or skills required for solving problems in a domain.
de la Torre, Jimmy, Lee, Young S.
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DINA-BAG: A Bagging Algorithm for DINA Model Parameter Estimation in Small Samples
Journal of Educational and Behavioral Statistics, 2023Cognitive diagnosis models (CDMs) are the assessment tools that provide valuable formative feedback about skill mastery at both the individual and population level. Recent work has explored the performance of CDMs with small sample sizes but has focused solely on the estimates of individual profiles.
David Arthur, Hua-Hua Chang
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Research on DINA Model in Online Education
2020Learning tests play an important role in both traditional learning and online learning. The traditional education test can only report students’ scores or abilities, but not their knowledge level, which is no longer satisfied with people’s requirements.
Jia Liu +4 more
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Estimation of Generalized DINA Model with Order Restrictions
Journal of Classification, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen-Yu Hong +2 more
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Journal of Educational Measurement, 2014
The DINA (deterministic input, noisy, and gate) model has been widely used in cognitive diagnosis tests and in the process of test development. The outcomes known as slip and guess are included in the DINA model function representing the responses to the items.
Hung‐Yu Huang, Wen‐Chung Wang
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The DINA (deterministic input, noisy, and gate) model has been widely used in cognitive diagnosis tests and in the process of test development. The outcomes known as slip and guess are included in the DINA model function representing the responses to the items.
Hung‐Yu Huang, Wen‐Chung Wang
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Generic Identifiability of the DINA Model and Blessing of Latent Dependence
Psychometrika, 2022Cognitive Diagnostic Models are a powerful family of fine-grained discrete latent variable models in psychometrics. Within this family, the DINA model is a fundamental and parsimonious one that has received significant attention. Similar to other complex latent variable models, identifiability is an important issue for CDMs, including the DINA model ...
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