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| Test Q Cochrana× | Test McNemara× | |
|---|---|---|
| Dziedzina | Statystyka | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1950 | 1947 |
| Twórca≠ | William G. Cochran | Quinn McNemar |
| Typ≠ | Nonparametric proportions comparison | Nonparametric test for paired binary data |
| Źródło pierwotne≠ | Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| Inne nazwy≠ | Cochran Q Testi, Cochran's Q, Q test for related proportions | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| Pokrewne≠ | 4 | 5 |
| Podsumowanie≠ | Cochran's Q test is a nonparametric hypothesis test introduced by William G. Cochran in 1950 for comparing proportions across three or more related binary measurements. It extends McNemar's test to the multiple-condition case and is the method of choice when every participant is observed under each condition and the outcome is recorded as a simple success/failure (1/0). | 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. |
| ScholarGateZbiór danych ↗ |
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