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The Variance of Intraclass Correlations in Three- and Four-Level Models

机译:三层和四层模型中类内相关的方差

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Intraclass correlations are used to summarize the variance decomposition in populations with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large sample distribution of estimates of the intraclass correlation in two-level situations is well known. Contemporary educational and social experiments often involve sampling designs with three or four levels of nesting, leading to three- and four-level intraclass correlation structures. The present article provides expressions for the large sample variances and covariances of estimates of three- and four-level intraclass correlation structures.
机译:类内相关用于总结具有多层次结构的总体中的方差分解。最近,人们对从调查或设计的实验中估计类内相关性以提供设计将来的大规模随机实验的设计参数的兴趣很大。在两个级别的情况下,类内相关性的估计值的大样本分布是众所周知的。当代的教育和社会实验通常涉及具有三层或四层嵌套的抽样设计,从而导致三层和四层类内相关结构。本文提供了三层和四层类内相关结构的估计的大样本方差和协方差的表达式。

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