A human-made statistical measure that quantifies the magnitude of a phenomenon, treatment effect, or difference between groups independent of sample size. Its parameters are: (1) a computed statistic (e.g. Cohen's d, eta-squared, odds ratio) that standardizes the effect relative to variability or baseline, (2) an interpretation scale (small, medium, large) calibrated against empirical distributions, (3) a domain-specific reference for meaningful thresholds. The concept persists through statistical formulae, meta-analytic reporting standards, and convention in empirical research methodology. [formal: effectus magnitudo | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]
Accepted ontology entry
effect-size
A human-made statistical measure that quantifies the magnitude of a phenomenon, treatment effect, or difference between groups independent of sample size. Its parameters are: (1) a computed statistic (e.g. Cohen's d, eta-squared, odds rati…
Definition
Why it is in scope
A human-made statistical measure quantifying the magnitude of a phenomenon or treatment effect independent of sample size, built to persist through mathematical formulae and reporting conventions in empirical research
Names and aliases
- effect-sizeen · CANONICAL
Relations from this entry
- cmr9uz3vv00elhcxfruyltnd4DEPENDS_ON →
Effect-size quantifies the magnitude of a phenomenon independent of sample size — but without measurement there is nothing to quantify. The removal test passes: remove measurement and effect-size ceases to operate, as it needs measured variables and instruments to produce any value.
Relations to this entry
- cmrw668qi002nkyo6qlh173bj← DEPENDS_ON
Removal test: remove effect-size and power-analysis cannot compute — power analysis requires specifying the expected effect size as a core parameter. Without effect-size, the method has no operational mechanism.
Record identity
- Created
- Jul 22, 2026, 2:14 PM UTC
- Content hash
- 1082726434dda253dcfb77f6568317d0b5f45d33f5aaea44071d5cd2d8ae625c