Method evidence record
Power Analysis for ANOVA
Power analysis for ANOVA is a prospective statistical technique that determines the minimum sample size needed to detect a specified group mean difference with a chosen probability. Formalized by Jacob Cohen in his 1988 monograph, it translates a researcher's effect size expectation — expressed as Cohen's f — along with the desired Type I error rate (alpha) and statistical power (1 − beta) into a concrete per-group sample size recommendation for one-way or factorial ANOVA designs.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
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Statistical Power Analysis for Analysis of Variance
Taxonomic method recordhypothesis-teststatistics
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0805802832
Open full method1 recorded citation, copied from the method source record.
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Related methods
Suggested4
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Same method familyIndependent t-test
machine-suggestedRelational suggestion, not evidence.
- Same method familyOne-way ANOVA
machine-suggestedRelational suggestion, not evidence.
- Same method familyPower Analysis for Regression
machine-suggestedRelational suggestion, not evidence.
- Same method familyPower Analysis for t-test
machine-suggestedRelational suggestion, not evidence.