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提出了一种来自不平衡设计的分类数据方差成分模型，该模型与定量数据的一元随机效应ANOVA模型直接类似。方差成分为每个响应类别提供单独的可靠性度量，并以（被试内）类内和类间相关系数的形式提供响应类别对之间的不一致性度量。估计程序涉及通常的MA NOVA计算，可表示为多项式观察值的复合函数。因此，这些估计的方差可以通过线性化的泰勒级数结果获得。这些程序通过一项精神病学诊断研究的数据进行说明。
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Landis等（Thu，）研究了这个问题。
synapsesocial.com/papers/6a016c4d63b3413ef2461708 — DOI: https://doi.org/10.2307/2529465
J. Richard Landis
University of Pennsylvania
Gary G. Koch
Northwestern University
Biometrics
University of Michigan
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