Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Корелационният коефициент на ранговете по Кендъл (Kendall's Tau)× | Анализ на размера на ефекта× | |
|---|---|---|
| Област | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Година на възникване≠ | 1938 | 1969 (first edition); 1988 (definitive second edition) |
| Създател≠ | Maurice G. Kendall | Jacob Cohen |
| Тип≠ | Nonparametric rank correlation | Standardized magnitude estimation |
| Основополагащ източник≠ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93. DOI ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832 |
| Други названия | Kendall tau, Kendall rank correlation, tau-b, tau-c | effect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis |
| Свързани | 4 | 4 |
| Резюме≠ | Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data. | Effect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations. |
| ScholarGateНабор от данни ↗ |
|
|