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検出力分析×一元配置分散分析×
分野統計学統計学
系統Hypothesis testHypothesis test
提唱年1969 (1st ed.); 1988 (seminal 2nd ed.)1925
提唱者Jacob CohenRonald A. Fisher
種類Sample size and power planningParametric mean comparison
原典Cohen, 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 ↗
別名sample size calculation, power calculation, sensitivity analysis, a priori power analysisone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
関連54
概要Power 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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ScholarGate手法を比較: Power analysis · One-way ANOVA. 2026-06-18に以下より取得 https://scholargate.app/ja/compare