Obtaining Diagnostic Classification Model Estimates Using Mplus
Obtaining Diagnostic Classification Model Estimates Using Mplus
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DOI：
10.1111/emip.12010
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发表时间：
2013-06-01
影响因子：
2
通讯作者：
Hoffman, Lesa
中科院分区：
文献类型：
--
作者：
Templin, Jonathan;Hoffman, Lesa
诊断分类模型（又名认知或技能诊断模型）已显示出很大的希望，通过考生的反应评估掌握的技能的多维配置文件，但这些模型的持续发展和应用受到阻碍，缺乏现成的软件。在这篇文章中，我们演示了如何诊断分类模型可能被估计为验证性的潜在类模型使用Mplus，从而弥合这些模型的技术演示和他们的实际使用评估研究和应用设置之间的差距差距。使用一个样本英语测试的三种语法技能，我们描述了如何诊断分类模型可以措辞为潜在的类模型在Mplus和如何获得语法和输出所需的估计和解释的模型参数。我们还编写了一个免费的SAS程序，可用于自动生成Mplus语法。我们希望这项工作将最终导致整个测试社区，从研究人员到从业者，更多地使用诊断分类模型。
Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.