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Ujian Q Cochran×ANOVA ukuran berulang×
BidangStatistikStatistik
KeluargaHypothesis testHypothesis test
Tahun asal19501992
PengasasWilliam G. CochranGirden (textbook treatment); Field (2013)
JenisNonparametric proportions comparisonParametric within-subjects mean comparison
Sumber perintisCochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185
AliasCochran Q Testi, Cochran's Q, Q test for related proportionswithin-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA
Berkaitan44
RingkasanCochran'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).Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013).
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ScholarGateBandingkan kaedah: Cochran Q Test · Repeated-measures ANOVA. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare