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ΠεδίοΣτατιστικήΣτατιστική
ΟικογένειαHypothesis testHypothesis test
Έτος προέλευσης20001925
ΔημιουργόςRosenthal, Rosnow & Rubin (modern formalization)Ronald A. Fisher
ΤύποςParametric planned comparisonParametric mean comparison
Θεμελιώδης πηγήRosenthal, R., Rosnow, R. L. & Rubin, D. B. (2000). Contrasts and Effect Sizes in Behavioral Research: A Correlational Approach. Cambridge University Press. ISBN: 978-0521659802Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Εναλλακτικές ονομασίεςplanned comparisons, planned contrasts, a priori contrasts, Kontrast Analizi — Planlanmış Karşılaştırmalarone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Συναφείς24
ΣύνοψηPlanned contrast analysis is a parametric hypothesis-testing method that evaluates specific, theoretically motivated comparisons among group means — comparisons that the researcher specifies before data collection, not in response to observed patterns. Formalized comprehensively by Rosenthal, Rosnow, and Rubin (2000), the approach assigns a set of contrast coefficients to the groups being compared, with the constraint that the coefficients sum to zero, and then tests whether the resulting weighted combination of means differs significantly from zero.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateΣύγκριση μεθόδων: Contrast Analysis · One-way ANOVA. Ανακτήθηκε στις 2026-06-18 από https://scholargate.app/el/compare