I'm an R newbie, so I'm probably missing something but the effsize package gives a radically different value for cohen's d from effectsize - which agrees with JAMOVI and hand calculation in excel.:
Whereas: from the effectsize package (and Jamovi)
cohens_d(guilty$sel[guilty$Type == "probe"],guilty$sel[guilty$Type == "irrelevant"], paired = TRUE)
Cohen's d | 95% CI
I'm an R newbie, so I'm probably missing something but the effsize package gives a radically different value for cohen's d from effectsize - which agrees with JAMOVI and hand calculation in excel.:
cohen.d(guilty$sel[guilty$Type == "probe"],guilty$sel[guilty$Type == "irrelevant"], paired = TRUE)
Cohen's d
d estimate: 0.3609801 (small) 95 percent confidence interval: lower upper 0.2174820 0.5044782
Whereas: from the effectsize package (and Jamovi) cohens_d(guilty$sel[guilty$Type == "probe"],guilty$sel[guilty$Type == "irrelevant"], paired = TRUE) Cohen's d | 95% CI
1.02 | [0.54, 1.49]