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Statistical Applications to Cognitive Diagnostic Testing
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DOI：10.1146/annurev-statistics-033021-111803.png)
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Diagnostic classification tests are designed to assess examinees' discrete mastery status on a set of skills or attributes. Such tests have gained increasing attention in educational and psychological measurement. We review diagnostic classification models and their applications to testing and learning, discuss their statistical and machine learning connections and related challenges, and introduce some contemporary and future extensions.
Keyword:
cognitive diagnosis
diagnostic classification
educational measurement
psychometrics
latent class analysis
adaptive learning
statistical learning
classification
clustering
supervised learning
unsupervised learning
期刊
IF:
8.7
论文数:
211
被引数:
2.4K
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