The Rater Bundle Model
The Rater Bundle Model
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评估者捆绑模型
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Machteld Hoskens
中科院分区：
文献类型：
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作者：
Mark R. Wilson;Machteld Hoskens
本文介绍了一种学生作业重复评分的项目反应模型，我们称之为评分者捆绑模型(RBM)。这一模型的发展是因为观察到，当重复评分发生时，条件独立性的假设被违反，因此当前最先进的项目反应模型，如评分者方面模型，忽略了这种违反，低估了测量误差，高估了信度。在评核人捆绑模型中，这些依赖关系被显式地参数化。将该模型应用于实际数据和模拟数据，验证了该方法的有效性。
In this article an item response model is introduced for repeated ratings of student work, which we have called the Rater Bundle Model (RBM). Development of this model was motivated by the observation that when repeated ratings occur, the assumption of conditional independence is violated, and hence current state-of-the-art item response models, such as the rater facets model, that ignore this violation, underestimate measurement error, and overestimate reliability. In the rater bundle model these dependencies are explicitly parameterized. The model is applied to both real and simulated data to illustrate the approach.