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Inferential procedures based on the weighted Pearson correlation coefficient test statistic. [PDF]

J Appl Stat
Yu H, Hutson AD.
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Adapted Chatterjee correlation coefficient

Statistics & Probability Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ya Wang, Linjiajie Fang, Bingyi Jing
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Comparing correlated correlation coefficients.

Psychological Bulletin, 1992
The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & Clark's (1969) work using the Fisher z transformation and include a test and confidence interval for comparing two correlated ...
Rosenthal, Robert, Rubin, Donald, Meng, Xiao-li   +2 more
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The Polyserial Correlation Coefficient

Psychometrika, 1982
The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. The maximum likelihood estimator of the polyserial correlation is compared with a two-step estimator and with a computationally convenient
Olsson, Ulf, Drasgow, Fritz, Dorans, Neil J.   +2 more
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CORRELATION COEFFICIENT

Statistics of Navy medicine, 2008
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Modified Biserial Correlation Coefficients

Psychometrika, 1981
Asymptotic distribution theory of Brogden's form of biserial correlation coefficient is derived and large sample estimates of its standard error obtained. Its efficiency relative to the biserial correlation coefficient is examined. Other modifications of the statistic are evaluated, and on the basis of these results, recommendations for choice of ...
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Correlation Coefficient

2022
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Range of Correlation Coefficients

Psychological Reports, 1968
A single correlation coefficient can take values between −1.0 and +1.0. What is just as important, but less often taught, is that the correlations in a matrix of intercorrelations are not free to vary over the same range of values. This is relevant whenever we try to assess whether a number of variables have relatively high or relatively low ...
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