A CRITICAL DISCUSSION OF INTRACLASS CORRELATION-COEFFICIENTS
A CRITICAL DISCUSSION OF INTRACLASS CORRELATION-COEFFICIENTS
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DOI：
10.1002/sim.4780132310
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发表时间：
1994-12-30
影响因子：
2
通讯作者：
BUTTNER, P
中科院分区：
文献类型：
--
作者：
MULLER, R;BUTTNER, P
一般来说，组内相关系数 (ICC) 旨在评估两个或多个定量测量之间的一致性或一致性。据称它们可以处理广泛的问题，包括可靠性、再现性和有效性问题。结果表明，在选择合适的 ICC 时必须注意基本采样理论。为此目的，开发了决策树。它可用于选择适合特定研究环境的系数。我们证明，即使在相同的采样理论下，不同的 ICC 也可能会导致同一数据集产生截然不同的值。还解决了 ICC 的其他一般限制。提出并讨论了潜在的替代方案，并就使用适当的方法给出了一些建议。
In general, intraclass correlation coefficients (ICC's) are designed to assess consistency or conformity between two or more quantitative measurements. They are claimed to handle a wide range of problems, including questions of reliability, reproducibility and validity. It is shown that care must be taken in choosing a suitable ICC with respect to the underlying sampling theory. For this purpose a decision tree is developed. It may be used to choose a coefficient which is appropriate for a specific study setting. We demonstrate that different ICC's may result in quite different values for the same data set, even under the same sampling theory. Other general limitations of ICC's are also addressed. Potential alternatives are presented and discussed, and some recommendations are given for the use of an appropriate method.