Spearman's Rank Correlation Coefficient
A nonparametric statistical method that measures the strength of the monotonic relationship between two variables based on their ranks. It does not require a normal distribution or a linear relationship.
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The Zyppy study examined the differences in characteristics between winners and losers over the previous 12 months (including the March 2026 core update), with data from Ahrefs traffic metrics, and used Spearman correlation coefficients to quantify the relationship between site characteristics and traffic changes.
The Spearman correlation coefficient is a non-parametric statistical method for measuring the strength of a monotonic relationship between two variables, ranging from -1 to 1, calculated based on variable rankings (ranks), and it does not require the data to follow a normal distribution nor assume a linear relationship.
Spearman's rank correlation coefficient is a non-parametric statistic used to measure the monotonic correlation between two sets of rankings, with a range of -1 to 1, and does not require the data to follow a normal distribution.
In behavioral science and evaluation research, rho > 0.6 is generally considered "strong correlation," while rho > 0.8 is considered "very strong correlation."
All Facts (4)
The Zyppy study examined the differences in characteristics between winners and losers over the previous 12 months (including the March 2026 core update), with data from Ahrefs traffic metrics, and used Spearman correlation coefficients to quantify the relationship between site characteristics and traffic changes.
50%UnverifiedThe Spearman correlation coefficient is a non-parametric statistical method for measuring the strength of a monotonic relationship between two variables, ranging from -1 to 1, calculated based on variable rankings (ranks), and it does not require the data to follow a normal distribution nor assume a linear relationship.
50%UnverifiedSpearman's rank correlation coefficient is a non-parametric statistic used to measure the monotonic correlation between two sets of rankings, with a range of -1 to 1, and does not require the data to follow a normal distribution.
50%UnverifiedIn behavioral science and evaluation research, rho > 0.6 is generally considered "strong correlation," while rho > 0.8 is considered "very strong correlation."
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