Сравнение методов

	Коэффициент ранговой корреляции Кендалла	Анализ величины эффекта
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1938	1969 (first edition); 1988 (definitive second edition)
Автор метода	Maurice G. Kendall	Jacob Cohen
Тип	Nonparametric rank correlation	Standardized magnitude estimation
Основополагающий источник	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.	Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832
Другие названия	Kendall tau, Kendall rank correlation, tau-b, tau-c	effect magnitude estimation, standardized effect measure, practical significance analysis, ES analysis
Связанные	4	4
Сводка	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.