Method evidence record
Effect size analysis
Effect size analysis quantifies the practical magnitude of a statistical result independently of sample size. Rather than asking only whether a difference or relationship is statistically significant, it asks how large it is, using standardized indices such as Cohen's d, eta-squared, omega-squared, or Pearson's r that allow direct comparison across studies and populations.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Effect Size Analysis
Taxonomic method recordhypothesis-teststatistics
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0805802832
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
This view does not invent a claim assessment when the ledger has none.
Related methods
Suggested4
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketIndependent samples t-test
machine-suggestedRelational suggestion, not evidence.
- Same method familyOne-way ANOVA
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketPower analysis
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketROC analysis
machine-suggestedRelational suggestion, not evidence.