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| Koeficijent Ka (Kappa) Koena× | Hi-kvadrat test nezavisnosti× | |
|---|---|---|
| Oblast | Statistika | Statistika |
| Porodica | Hypothesis test | Hypothesis test |
| Godina nastanka≠ | 1960 | 1900 |
| Tvorac≠ | Jacob Cohen | Karl Pearson |
| Tip≠ | Inter-rater reliability coefficient | Nonparametric test of association |
| Temeljni izvor≠ | 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 ↗ |
| Drugi nazivi≠ | 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 |
| Srodne≠ | 3 | 2 |
| Sažetak≠ | 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. |
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