Kategoriale Assoziation
12 Methoden in dieser Familie.
Ausgewählt
Bartlett-Test auf VarianzhomogenitätBartlett's Test is a classical parametric procedure for testing whether two or more independent groups share a common population variance. Introduced by Maurice Stevenson Bartlett Chi-Quadrat-Unabhängigkeitstest nach PearsonThe chi-square test of independence is a nonparametric hypothesis test that determines whether two categorical variables are statistically associated or independent of one another.Chi-Quadrat-Power-AnalyseChi-square power analysis is a prospective calculation that determines the minimum sample size required — or the statistical power achievable with a given sample — for chi-square iChi-Quadrat-UnabhängigkeitstestThe chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequenciesCochran's Q-TestCochran'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 Cochrane Risk of Bias Tool 2.0 für randomisierte kontrollierte StudienRoB 2 is the Cochrane Collaboration's updated methodology for assessing the risk of bias in randomized controlled trials (RCTs). Published in 2019, it replaced the original Cochran
Leseweg
Die meistzitierten grundlegenden Methoden dieses Themas, in der Reihenfolge ihrer Entwicklung — ein Ausgangspunkt, wenn Sie hier neu sind.
Alle Methoden 12
Bartlett-Test auf VarianzhomogenitätChi-Quadrat-Unabhängigkeitstest nach PearsonChi-Quadrat-Power-AnalyseChi-Quadrat-UnabhängigkeitstestCochran's Q-TestCochrane Risk of Bias Tool 2.0 für randomisierte kontrollierte StudienCramérs VFishers Exakter TestMcNemar-TestFishers exakte RandomisierungsinferenzRobuster Chi-Quadrat-TestRobuster Exakter Fisher-Test