Salīdzināt metodes

	Spīrmena ranga sakarības koeficients	Pīrsona momentu korelācijas koeficients
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1904	1895
Autors	Charles Spearman	Karl Pearson
Tips	Nonparametric rank-based correlation	Parametric correlation
Pirmavots	Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Citi nosaukumi	Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu	pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi
Saistītās	4	4
Kopsavilkums	The Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship.	The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association.