Me: What is Hedge’s [sic] g?
Microsoft Copilot: Hedge’s g is a measure of effect size used in statistical analysis to indicate the magnitude of a difference between two groups. It’s similar to Cohen’s d, but Hedge’s g includes a correction for small sample sizes […]. Pretty neat tool for researchers, huh?
Me: Who developed Hedge’s g?
Copilot: Hedge’s g was developed by John Hedges in 1981. […] Is there anything specific you’d like to know about how it’s used or calculated?
Me: So it’s not called Hedge’s g then?
Copilot: Busted! It should be Hedges’ g. The mistake is widespread, though—kinda like how people always say “expresso” when they mean “espresso.” Just roll with it.