Then Pearson rank-order correlation
tests were conducted between the PLR, gestational age, and birth weight of the PTBs.
The second measure i.e., Spearman's Rank-Order correlation
is used to compute the correlation between two rank orders .
RQ1 was addressed using the Spearman's rank-order correlation
test between identity conflict and the social support scores.
First, BP tracking was estimated by calculating Spearman's rank-order correlation
coefficients stratified by sex and age and potential hypertension risk factors (overweight/obesity, birthweight and parental hypertension).
Two correlation coefficients are in common use: Spearman rank-order correlation
coefficient for nonparametric data and Pearson product-moment correlation coefficient for parametric data.
Convergent validity was assessed via Spearman's rank-order correlation
coefficient at weeks 8 and 12, between the SAT II scores and BPI-DN item 5 change from baseline score and change from previous week score (i.e., week 8 minus week 7; week 12 minus week 11); BPI-DN item 9F score; BPI-DN item 9F change from baseline score and change from previous week score; HADS subscale scores; HADS subscale change from baseline scores; PGIC; EQ-5D index and VAS scores; EQ-5D index and VAS change from baseline scores.
To evaluate the relationship between variables, a Spearman's rank-order correlation
(Spearman's rho) analysis was used.
Whereas the majority of the QSU variables were ordinal, the associations between variables were evaluated by means of the Spearman's rank-order correlation
. Furthermore, a MannWhitney U test was applied to identify differences between characteristic groups of dancers (nutritional supplement users vs.
Spearman's rank-order correlation
is a nonparametric measure of association using ordinal numbers and was used for this study.
Since the accuracy of the quality prediction is more important than the prediction monotonicity, the optimization of objective metrics is based on the Pearson's linear correlation coefficient (directly related to the prediction accuracy) and rank-order correlation
(Spearman and Kendall ones) are considered as supplementary ones.
Spearman rank-order correlation
coefficients were then calculated on the summed vendor SFTARs, link-resolver click-throughs, and local citation counts.
However, the Pearson and ICC correlation coefficients for the IGT were significantly lower than those for the BART (p < .05 for each), and the Spearman rank-order correlation
coefficient for the IGT was significantly lower than that for the large reward DDT (p < .05).