Effect Size Why The P Value Is Not Enough-Sullivan

This note last modified September 1, 2024

#notesFromPaper Year : Tags : p value statistics Authors: Sullivan Feinn

effect size is the difference between 2 populations, but it seems like there are some times where the difference is a “meaningless unit” like with Likert scales. So what do we do

has some fantastic statistical tests such as Cohen’s d and odds ratio and pearson’s r correlation

statistical power, has some great stuff on how to calculate the level of power you’d need.