Glossary · Methodology
Effect size
In short
Effect size describes how large a difference is — not just whether it exists. It is often given as a standardized mean difference so that studies with different measurement scales can be compared.
An effect can be given in minutes, kilograms or points on a scale. The standardized mean difference converts it into multiples of the natural spread. As a rough rule of thumb, 0.2 counts as small, 0.5 as medium and 0.8 as large.
The rule of thumb does not replace the question of whether a difference is noticeable in everyday life. Falling asleep seven minutes faster can be statistically well established and still barely noticeable for the individual. Conversely, a small effect on a hard endpoint can mean a lot.
Only the size of the effect tells you whether it counts.
Where this comes up in the fact checks
Sources
Related terms: Statistical significance (p-value) · Confidence interval · Number needed to treat (NNT)
Information only, not medical advice. The BK-Score is a subjective assessment according to disclosed rules – not a scientific evaluation. Scoring rules