2002Journal of the Royal Statistical Society Series D (The Statistician)Requires access

Testing the equality of dependent intraclass correlation coefficients

Allan Donner, Guangyong Zou

Open publisher page 103 citations

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.

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Available 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.

Key concepts: Intraclass correlation, Correlation ratio, Statistics, Mathematics, Transformation (genetics), Fisher transformation, Variance (accounting), Correlation

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