New correlation coefficients revolutionize measuring relationships between variables.
The article discusses different correlation coefficients used in scientific research to measure the strength of association between variables. These coefficients, like Spearman and Kendall, help researchers understand relationships between attributes that can't be directly measured. They are useful because they don't depend on the distribution of data. The article also explains how to determine the significance of correlation coefficients and provides scales to interpret the strength of association. Overall, these nonparametric indicators offer a quick way to assess relationships between variables, regardless of their distribution.