Methoden vergleichen

	Chi-Quadrat-Unabhängigkeitstest	McNemar-Test
Fachgebiet	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1900	1947
Urheber	Karl Pearson	Quinn McNemar
Typ	Nonparametric test of association	Nonparametric test for paired binary data
Wegweisende Quelle	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.	McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157.
Aliasnamen	chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi	McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Verwandt	2	5
Zusammenfassung	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.	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.