Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Correlação de Pearson Produto-Momento× | Correlação de Postos de Tau de Kendall× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família | Hypothesis test | Hypothesis test |
| Ano de origem≠ | 1895 | 1938 |
| Autor original≠ | Karl Pearson | Maurice G. Kendall |
| Tipo≠ | Parametric correlation | Rank-based association measure |
| Fonte seminal≠ | 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 ↗ |
| Outros nomes | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi | Kendall's tau, Kendall tau-b, tau correlation, Kendall Tau Korelasyonu |
| Relacionados | 4 | 4 |
| Resumo≠ | 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. |
| ScholarGateConjunto de dados ↗ |
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