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Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms

机译:改装诊断分类模型以反应基于IRT的评估表

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摘要

Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item response theory frameworks. Retrofitting diagnostic classification models to existing assessments designed under other psychometric frameworks could be a plausible approach to obtain more actionable scores or understand more about the constructs themselves. This study (a) discusses the possibility and problems of retrofitting, (b) proposes a step-by-step retrofitting framework, and (c) explores the information one can gain from retrofitting through an empirical application example. While retrofitting may not always be an ideal approach to diagnostic measurement, this article aims to invite discussions through presenting the possibility, challenges, process, and product of retrofitting.
机译:在诊断测量框架内开发诊断工具是获得对考生的多维和基于分类的反馈的最佳方法。但是,最终用户可能会寻求从现有项目响应的诊断反馈,以便在经典测试理论或项目响应理论框架下设计的评估。改装诊断分类模型以在其他心动模型框架下设计的现有评估可能是一种合理的方法,可以获得更多可操作的分数或更多地了解构造自己的更多方法。本研究(a)讨论了改造的可能性和问题,(b)提出了逐步的改造框架,(c)探索了一种通过经验应用示例从改装中获得的信息。当改造可能并不总是是诊断测量的理想方法,而本文旨在通过提出改造的可能性,挑战,过程和产品来邀请讨论。

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