Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коэффициент каппа Коэна× | Хи-квадрат тест независимости× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1960 | 1900 |
| Автор метода≠ | Jacob Cohen | Karl Pearson |
| Тип≠ | Inter-rater reliability coefficient | Nonparametric test of association |
| Основополагающий источник≠ | Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ |
| Другие названия≠ | kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum) | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Связанные≠ | 3 | 2 |
| Сводка≠ | Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories. | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. |
| ScholarGateНабор данных ↗ |
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