Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| V de Cramer× | Test de McNemar× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille | Hypothesis test | Hypothesis test |
| Année d'origine≠ | 1946 | 1947 |
| Auteur d'origine≠ | Harald Cramér | Quinn McNemar |
| Type≠ | Nonparametric association measure | Nonparametric test for paired binary data |
| Source fondatrice≠ | Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420 | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| Alias | cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti) | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| Apparentées≠ | 3 | 5 |
| Résumé≠ | Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test. | McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes. |
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