Development of a New Instrument for Depression With Cognitive Diagnosis Models [PDF]
Frontiers in Psychology, 2019 Most existing instruments for depression are developed based on classical test theory, factor analysis, or sometimes, item response theory, and focus on the accurate measurement of the severity of depressive disorder.
Daxun Wang +3 more
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Validating attribute hierarchies in cognitive diagnosis models [PDF]
Frontiers in PsychologyCognitive diagnosis models (CDMs) are restricted latent class models that are widely used in educational and psychological fields. Attribute hierarchy, as an important structural feature of the CDM, can provide critical information for inferring ...
Xueqin Zhang +3 more
doaj +4 more sources
The Potential for Interpretational Confounding in Cognitive Diagnosis Models. [PDF]
Appl Psychol Meas, 2022 Binary 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.
Huang QH, Bolt DM.
europepmc +4 more sources
Cognitive Diagnosis Models in R: A didactic [PDF]
Tutorials in Quantitative Methods for Psychology, 2015 Cognitive diagnosis models (CDMs) are a class of discrete latent variable modelswhich may be used to estimate the possession of attributes underlying a global ability or attitude.
George, A. C., Robitzsch, A.
doaj +5 more sources
Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis
Frontiers in Psychology, 2018 Existing cognitive diagnosis models conceptualize attribute mastery status discretely as either mastery or non-mastery. This study proposes a different conceptualization of attribute mastery as a probabilistic concept, i.e., the probability of mastering ...
Peida Zhan +3 more
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Partial-mastery cognitive diagnosis models
Annals of Applied Statistics, 2021 Cognitive diagnosis models (CDMs) are a family of discrete latent attribute models that serve as statistical basis in educational and psychological cognitive diagnosis assessments. CDMs aim to achieve fine-grained inference on individuals' latent attributes, based on their observed responses to a set of designed diagnostic items.
Elena Erosheva +2 more
exaly +3 more sources
Explanatory Cognitive Diagnosis Models Incorporating Item Features [PDF]
Journal of IntelligenceItem quality is crucial to psychometric analyses for cognitive diagnosis. In cognitive diagnosis models (CDMs), item quality is often quantified in terms of item parameters (e.g., guessing and slipping parameters).
Manqian Liao, Hong Jiao, Qiwei He
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The R Package CDM for Cognitive Diagnosis Models [PDF]
Journal of Statistical Software, 2016 This paper introduces the R package CDM for cognitive diagnosis models (CDMs). The package implements parameter estimation procedures for two general CDM frameworks, the generalized-deterministic input noisy-and-gate (G-DINA) and the general diagnostic ...
Ann Cathrice George +4 more
doaj +3 more sources
Exploring Approaches for Estimating Parameters in Cognitive Diagnosis Models with Small Sample Sizes
Psych, 2023 Cognitive diagnostic models (CDMs) are increasingly being used in various assessment contexts to identify cognitive processes and provide tailored feedback.
Miguel A. Sorrel +4 more
doaj +3 more sources
Measuring resilience by cognitive diagnosis models and its prediction of 6-month quality of life in Be Resilient to Breast Cancer (BRBC). [PDF]
Front Psychiatry, 2023 Liang MZ +8 more
europepmc +2 more sources