Methoden vergleichen

	Cochran's Q-Test	McNemar-Test
Fachgebiet	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1950	1947
Urheber	William G. Cochran	Quinn McNemar
Typ	Nonparametric proportions comparison	Nonparametric test for paired binary data
Wegweisende Quelle	Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266.	McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157.
Aliasnamen	Cochran Q Testi, Cochran's Q, Q test for related proportions	McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Verwandt	4	5
Zusammenfassung	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.