Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Συντελεστής Συσχέτισης Γραμμικής Συσχέτισης Pearson (r)× | Συσχέτιση Βαθμίδων Kendall Tau× | |
|---|---|---|
| Πεδίο | Στατιστική | Στατιστική |
| Οικογένεια | Hypothesis test | Hypothesis test |
| Έτος προέλευσης≠ | 1895 | 1938 |
| Δημιουργός≠ | Karl Pearson | Maurice G. Kendall |
| Τύπος≠ | Parametric correlation | Rank-based association measure |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | 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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