Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Cohenův koeficient Kappa× | Test nezávislosti chí-kvadrát× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1960 | 1900 |
| Tvůrce≠ | Jacob Cohen | Karl Pearson |
| Typ≠ | Inter-rater reliability coefficient | Nonparametric test of association |
| Původní zdroj≠ | 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 ↗ |
| Další názvy≠ | 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 |
| Příbuzné≠ | 3 | 2 |
| Shrnutí≠ | 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. |
| ScholarGateDatová sada ↗ |
|
|