Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Pīrsona momentu korelācijas koeficients× | Spīrmena ranga sakarības koeficients× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime | Hypothesis test | Hypothesis test |
| Izcelsmes gads≠ | 1895 | 1904 |
| Autors≠ | Karl Pearson | Charles Spearman |
| Tips≠ | Parametric correlation | Nonparametric rank-based correlation |
| Pirmavots≠ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ | Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗ |
| Citi nosaukumi≠ | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | 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. | 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. |
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