Gerylovová A, Holcík J
Katedra sociálního lékarství lékarské fakulty Masarykovy univerzity Brno.
Vnitr Lek. 1990 Nov;36(11):1132-8.
The authors deal with the evaluation of dependence between two quantitative variables. They analyze Spearman's and Kendall's rank correlation coefficients. The procedure is explained on examples. Decision taking between the zero and alternative hypothesis is made possible by the enclosed tables of critical values. When the number of data is higher than 30, the significance of the two coefficients can be evaluated by means of the testing characteristic with a normal distribution.
作者探讨了两个定量变量之间相关性的评估。他们分析了斯皮尔曼(Spearman)和肯德尔(Kendall)等级相关系数。通过示例对该过程进行了解释。所附的临界值表使得在原假设和备择假设之间做出决策成为可能。当数据数量大于30时,可以通过正态分布的检验特性来评估这两个系数的显著性。