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Cognitive complaints and their associations with role functioning limitations among adolescent and young adult cancer survivors in Hong Kong. [PDF]
Xiao P +9 more
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Learning in the Model Space for Cognitive Fault Diagnosis
IEEE Transactions on Neural Networks and Learning Systems, 2014The emergence of large sensor networks has facilitated the collection of large amounts of real-time data to monitor and control complex engineering systems. However, in many cases the collected data may be incomplete or inconsistent, while the underlying environment may be time-varying or unformulated.
Xin Yao, Huanhuan Chen, Ali Rodan
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A Cognitive Diagnosis Model for Continuous Response
Journal of Educational and Behavioral Statistics, 2017Nondichotomous response models have been of greater interest in recent years due to the increasing use of different scoring methods and various performance measures. As an important alternative to dichotomous scoring, the use of continuous response formats has been found in the literature.
Jimmy de la Torre
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Deep cognitive diagnosis model for predicting students’ performance
Future Generation Computer Systems, 2022Abstract Cognitive model is playing very important role in predicting students’ performance and recommending learning resources. Thus, it has received a great deal of attention from researchers. However, most of the existing work design models from the aspect of students, ignoring the internal relation between problems and skills.
Zhongying Zhao, Qingtian Zeng
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A Sparse Latent Class Model for Cognitive Diagnosis
Psychometrika, 2020Cognitive diagnostic models (CDMs) are latent variable models developed to infer latent skills, knowledge, or personalities that underlie responses to educational, psychological, and social science tests and measures. Recent research focused on theory and methods for using sparse latent class models (SLCMs) in an exploratory fashion to infer the latent
Yinyin Chen +2 more
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The Potential for Interpretational Confounding in Cognitive Diagnosis Models
Applied Psychological Measurement, 2022Binary examinee mastery/nonmastery classifications in cognitive diagnosis models may often be an approximation to proficiencies that are better regarded as continuous. Such misspecification can lead to inconsistencies in the operational definition of “mastery” when binary skills models are assumed.
Qi (Helen) Huang, Daniel M. Bolt
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Cognitive diagnosis models for multiple strategies
British Journal of Mathematical and Statistical Psychology, 2019Cognitive diagnosis models ( CDM s) have been used as psychometric tools in educational assessments to estimate students’ proficiency profiles. However, most CDM s assume that all students adopt the same strategy when approaching problems in an ...
Wenchao Ma, Wenjing Guo
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Incorporating Student Covariates in Cognitive Diagnosis Models
Journal of Classification, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elizabeth Ayers +2 more
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