Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Коефіцієнт Каппа Коена× | Тест хі-квадрат на незалежність× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1960 | 1900 |
| Автор методу≠ | Jacob Cohen | Karl Pearson |
| Тип≠ | Inter-rater reliability coefficient | Nonparametric test of association |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви≠ | 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 |
| Пов'язані≠ | 3 | 2 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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