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P-value calculation methods for semi-partial correlation coefficients
Author(s) -
Seongho Kim
Publication year - 2022
Publication title -
communications for statistical applications and methods
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 6
eISSN - 2383-4757
pISSN - 2287-7843
DOI - 10.29220/csam.2022.29.3.397
Subject(s) - partial correlation , mathematics , monotonic function , value (mathematics) , statistics , correlation , mathematical analysis , geometry
The p -value calculation methods for the partial and semi-partial correaltion coefficients were proposed by Cohen et al. (2003) and Kim (2015). The method of Cohen et al. (2003) depends on a single and identical statistic for both partial and semi-partial correlations, while Kim (2015)'s method uses two separate statistics for each of partial and semi-partial correlations. In particular, the mathematical expression of the p -value calculation for the semi-partial correlation coefficient differs between Kim (2015) and Cohen et al. (2003). Thus, these two expressions were compared through theoretical aspects and simulations. The results show that the semi-partial correlation coefficients by Kim (2015) is monotonic to the corresponding p-values, while Cohen et al. (2003)'s method does not maintain monotonicity.

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