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.

中文翻译：

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认知诊断测试的统计应用

诊断分类测试旨在评估考生对一组技能或属性的离散掌握状态。此类测试在教育和心理测量中越来越受到关注。我们回顾了诊断分类模型及其在测试和学习中的应用，讨论了它们的统计和机器学习联系以及相关挑战，并介绍了一些当代和未来的扩展。