title: Power failure: why small sample size undermines the reliability of neuroscience.
abstract: A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
authors.affiliation: School of Experimental Psychology, University of Bristol, UK.
authors.forename: Katherine S
authors.initials: KS
authors.lastname: Button
authors.forename: John P A
authors.initials: JP
authors.lastname: Ioannidis
authors.forename: Claire
authors.initials: C
authors.lastname: Mokrysz
authors.forename: Brian A
authors.initials: BA
authors.lastname: Nosek
authors.forename: Jonathan
authors.initials: J
authors.lastname: Flint
authors.forename: Emma S J
authors.initials: ES
authors.lastname: Robinson
authors.forename: Marcus R
authors.initials: MR
authors.lastname: Munafò
mesh_terms: D006801:Humans; D009488:Neurosciences; D011336:Probability; D015203:Reproducibility of Results; D018401:Sample Size