Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Cohens Kappa-coëfficiënt× | Chi-kwadraattoets voor Onafhankelijkheid× | |
|---|---|---|
| Vakgebied | Statistiek | Statistiek |
| Familie | Hypothesis test | Hypothesis test |
| Jaar van ontstaan≠ | 1960 | 1900 |
| Grondlegger≠ | Jacob Cohen | Karl Pearson |
| Type≠ | Inter-rater reliability coefficient | Nonparametric test of association |
| Oorspronkelijke bron≠ | 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 ↗ |
| Aliassen≠ | 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 |
| Verwant≠ | 3 | 2 |
| Samenvatting≠ | 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. |
| ScholarGateGegevensset ↗ |
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