Caring about Power Analyses

Jennifer E. Murray, Scott T. Barrett, Rebecca L. Brock, Rick A. Bevins

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Everyone should care deeply about statistical power and effect size given that the current estimates of wasted nonreproducible and exaggerated research findings range from 50 to 85%, combined with the mandates from the National Institutes of Health (NIH) that proposal reviewers focus on scientific rigor and investigators consider sex as a biological variable. In this Viewpoint, we provide recommendations and resources regarding power analyses aimed at enhancing rigor, and hence decreasing waste, when designing experiments. As part of this effort, we also make recommendations for reporting key statistics that will aid others in estimating sample size based on published research.

Original languageEnglish (US)
Pages (from-to)2352-2354
Number of pages3
JournalACS Chemical Neuroscience
Volume8
Issue number11
DOIs
StatePublished - Nov 15 2017

Keywords

  • Data analyses
  • effect size
  • replication crisis
  • scientific rigor

ASJC Scopus subject areas

  • Biochemistry
  • Physiology
  • Cognitive Neuroscience
  • Cell Biology

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