Spearman is a statistical method used to measure the strength and direction of the relationship between two ranked variables. It is particularly useful when the data does not meet the assumptions required for other correlation methods, such as Pearson's correlation. The Spearman rank correlation coefficient, denoted as \rho (rho), ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation. The method was developed by Charles Spearman, a British psychologist, in the early 20th century. It is commonly applied in various fields, including psychology, education, and social sciences, to analyze ordinal data or non-normally distributed interval data. Spearman's approach helps researchers understand relationships without assuming a linear relationship between the variables.