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Thus, it would only be statistically justified to compare correlation coefficients (between overlapping pair of variables) if both of these correlations coefficients were significantly different from zero (which is not the case).
The spearman analysis was used to compare correlation between two independent groups.
A Steiger t test was used to compare correlation coefficients among surrogate indices.
The Steiger t test was used to compare correlation coefficients among indices of insulin sensitivity.
Fisher r-to-z transformation test was used to compare correlation levels for sex and age, respectively, within each of the two MMSE-groups.
Steiger t tests were performed to compare correlation coefficients among these insulin sensitivity indices with the GDR measure of insulin sensitivity.
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When we compare correlations between MHVR and EHVR and between pEHVR and EHVR, significant improvement in the latter can be seen, especially for sites with high peak amplitude.
To compare correlations of BMI with strength and BMI with aerobic outcomes, first, the difference in Fisher's z was calculated.
To compare correlations the coefficients were converted to z scores.
The hypotheses compare correlations of score changes between instruments.
To compare correlations between different parent-child pairs, transformation into z-scores was used.
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