Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Korelační koeficient Pearsonova součinu momentů× | Kendallovo Tau korelační koeficient pořadí× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1895 | 1938 |
| Tvůrce≠ | Karl Pearson | Maurice G. Kendall |
| Typ≠ | Parametric correlation | Rank-based association measure |
| Původní zdroj≠ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1–2), 81–93. DOI ↗ |
| Další názvy | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu |
| Příbuzné | 4 | 4 |
| Shrnutí≠ | 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. | Kendall Tau is a nonparametric rank correlation coefficient introduced by Maurice G. Kendall in 1938 to measure the strength and direction of a monotone association between two ordinal or continuous variables. It is particularly suited to small samples and datasets containing many tied ranks, where the Spearman coefficient can be less stable. |
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