Published in

Nature Research, Nature Reviews Neuroscience, 6(14), p. 451-451, 2013

DOI: 10.1038/nrn3502

Links

Tools

Export citation

Search in Google Scholar

Power failure: why small sample size undermines the reliability of neuroscience

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

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. © 2013 Macmillan Publishers Limited. All rights reserved.