Correlation between the three variables for three data sets and the category of the effect size (in brackets).

R represents Spearman rank correlation, and p-values correspond to the null hypothesis that the two variables are independent. Effect size estimates are based on the size of the correlation observed between two variables, where small, medium, and large correlation thresholds are respectively 0.10, 0.30, and 0.50 based on Cohen’s classification [48].

R代表斯皮尔曼等级相关系数（Spearman rank correlation），其对应的p值用于检验“两变量相互独立”这一原假设。效应量估计值基于两变量间观测到的相关系数大小，其中小、中、大相关效应的阈值依据科恩分类（Cohen’s classification）[48]，分别为0.10、0.30和0.50。