1993
DOI: 10.2307/2348110
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Linear Modelling of Pearson's Product Moment Correlation Coefficient: An Application of Fisher's z-Transformation

Abstract: In this paper we study a procedure for modelling the strength of a linear relationship between bivariate random variables in terms of a grouping variable. Regression analysis with indicator variables is the usual method of modelling the association between a dependent variable Y and an independent variable X over a grouping variable Z. Pearson's correlations give a measure of the strength of the associationat each level of the grouping variable. In this paper we show that weighted least squares can be used, wi… Show more

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Cited by 25 publications
(23 citation statements)
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“…P values of less than 0.05 were considered statistically significant. For correlation analyses, a Pearson product-moment correlation coefficient (r) calculation to evaluate the strength of the association was used with the strength of the association identified as not, weakly, moderately or strongly correlated for 0.0 ≤ r ≤ 0.2, 0.2 ≤ r ≤ 0.4, 0.4 ≤ r ≤ 0.6, and 0.6 ≤ r ≤ 1.0, respectively (Bartlett, 1993, Burroughs et al, 2011). Prism v5.0 software (Graphpad Software Inc., La Jolla, CA) was used for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…P values of less than 0.05 were considered statistically significant. For correlation analyses, a Pearson product-moment correlation coefficient (r) calculation to evaluate the strength of the association was used with the strength of the association identified as not, weakly, moderately or strongly correlated for 0.0 ≤ r ≤ 0.2, 0.2 ≤ r ≤ 0.4, 0.4 ≤ r ≤ 0.6, and 0.6 ≤ r ≤ 1.0, respectively (Bartlett, 1993, Burroughs et al, 2011). Prism v5.0 software (Graphpad Software Inc., La Jolla, CA) was used for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The strength of the association was designated as no correlation for 0.0 # r # 0.2, weak correlation for 0.2 # r # 0.4, moderate correlation for 0.4 # r # 0.6, and strong correlation for 0.6 # r # 1.0. 22,23 …”
Section: Study Participants and Methodsmentioning
confidence: 99%
“…Regrettably, the distribution of the correlation coefficient (in our case FSC) is not normal and rather complicated, so the test is constructed using Fisher’s z -transformation (Bartlett, 1993): z=12log1+FSC1FSC=arctanh(FSC).…”
Section: Fourier Shell Correlation and Its Relation To Spectral Signamentioning
confidence: 99%