A Sequential General Nonparametric Classification Method for Polytomous Responses

Abstract excerpt

<p>Diagnostic classification models (DCMs) constitute a family of discrete latent variable models designed to classify examinees based on their mastery or non-mastery of fine-grained skills or attributes. The response data from educational assessments often include graded responses, in which the response categories are obtained sequentially and explicitly associated with specific attributes. However, the existing...

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• Cluster Analysis
• Clustering Algorithms
• Hearing Loss, Sensorineural
• Phenotype
• Reproducibility of Results
• Unsupervised Machine Learning

Identifiers and source

Literature Corpus work

eae3d103-4b4a-50f9-8a0c-47dfd448dcb5

DOI

10.31234/osf.io/7qd5y_v1