Testing the equality of dependent intraclass correlation coefficients
Allan Donner, Guangyong Zou
Abstract
Allan Donner, Guangyong Zou
Abstract
Summary. Procedures for testing the equality of two dependent intraclass correlation co-efficients computed from the same sample of subjects are developed and evaluated. It is demonstrated that an extended test procedure based on a normalizing and variance stabilizing transformation of the intraclass correlation coefficient developed by Konishi has consistently greater power than a procedure based on Fisher's classical Z-transformation and also has power which is comparable with that of the likelihood ratio test. Two examples are provided.
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Summary. Procedures for testing the equality of two dependent intraclass correlation co-efficients computed from the same sample of subjects are developed and evaluated. It is demonstrated that an extended test procedure based on a normalizing and variance stabilizing transformation of the intraclass correlation coefficient developed by Konishi has consistently greater power than a procedure based on Fisher's classical Z-transformation and also has power which is comparable with that of the likelihood ratio test. Two examples are provided.
Key concepts: Intraclass correlation, Correlation ratio, Statistics, Mathematics, Transformation (genetics), Fisher transformation, Variance (accounting), Correlation