Journal of the American Statistical Association · 1969 · 273 citations · 5 references
Natural SciencesBiostatisticsMathematicsExperimental DesignIndividual DifferencesStatisticsHypothesis TestingInferential StatisticsMultivariate AnalysisMultivariate StatisticsPower AnalysisStatistical AnalysisCorrelationCorrelation AnalysisCorrelation Power AnalysisFisher's Z TransformationMultivariate Normal DistributionPearson Correlation CoefficientPower Curves
Abstract When two correlation coefficients are calculated from a single sample, rather than from two samples, they are not statistically independent, and the usual methods for testing equality of the population correlation coefficients no longer apply. This paper considers the situation when the sample is from a multivariate normal distribution. Several possible large sample testing procedures are given, all based on Fisher's z-transformation. Power curves are given for each procedure and for seven values of the asymptotic correlation between the two sample correlation coefficients.
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