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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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Bayesian model checking in cognitive diagnostic models
Behaviormetrika, 2019 Checking that models adequately present data is an essential component of applied statistical inference. Psychometricans increasingly use complex models to analyze test taker’s responses. The appeal of using complex cognitive diagnostic models (CDMs) is undeniable, as psychometricians can fit and build models that represent complex cognitive processes ...
Nan Wang, Russell Alomond
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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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Teamwork Cognitive Diagnostic Modeling
PsychometrikaTeamwork involves the collaboration of individuals to achieve shared goals that surpass individual capabilities. As a team-level construct, team cognition underpins effective teamwork by integrating individual expertise and shared understanding. Identifying the causes of inefficiencies or poor team performance is critical for implementing targeted ...
Peida Zhan +3 more
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Application of cognitive diagnostic models to learning and assessment systems
, 2019 Over the past few decades, cognitive diagnostic models have generated a lot of interest due in large part to the call made by the No Child Left Behind Act of 2001 (No Child Left Behind, Act of 2001 Public Law No. 107–110, § 115.
de la Torre, J +4 more
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Developing score reports for cognitive diagnostic assessment [PDF]
, 2010 This paper presents a framework to provide a structured approach for developing score reports for cognitive diagnostic assessments (CDAs). Guidelines for reporting and presenting diagnostic scores are based on a review of current educational test score ...
Roduta Roberts, Mary, Gierl, Mark J.
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International Journal of Assessment Tools in EducationThe education system has relied on conventional single-score assessments, which provide limited insights into students' cognitive abilities. Cognitive diagnostic assessment (CDA) offers a promising alternative by providing detailed information on ...
Mohd Effendi Ewan Mohd Matore +2 more
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Longitudinal Cognitive Diagnostic Assessment Based on the HMM/ANN Model [PDF]
Frontiers in Psychology, 2020 Cognitive diagnostic assessment (CDA) is able to obtain information regarding the student's cognitive and knowledge development based on the psychometric model. Notably, most of previous studies use traditional cognitive diagnosis models (CDMs). This study aims to compare the traditional CDM and the longitudinal CDM, namely, the hidden Markov model ...
Hongbo Wen, Yaping Liu, Ningning Zhao
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Discriminating between chronic fatigue syndrome and depression: a cognitive analysis [PDF]
, 2001 Background: chronic fatigue syndrome (CFS) and depression share a number of common symptoms and the majority of CFS patients meet lifetime criteria for depression. While cognitive factors seem key to the maintenance of CFS and depression, little is known
Moss-Morris, Rona, Petrie, Keith J.
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Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
, 2011 Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
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