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Poweranalyse×One-way Analysis of Variance×
VakgebiedStatistiekStatistiek
FamilieHypothesis testHypothesis test
Jaar van ontstaan1969 (1st ed.); 1988 (seminal 2nd ed.)1925
GrondleggerJacob CohenRonald A. Fisher
TypeSample size and power planningParametric mean comparison
Oorspronkelijke bronCohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Aliassensample size calculation, power calculation, sensitivity analysis, a priori power analysisone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Verwant54
SamenvattingPower analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study.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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ScholarGateMethoden vergelijken: Power analysis · One-way ANOVA. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare