Caring about Power Analyses

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

doi:10.1021/acschemneuro.7b00341

Caring about Power Analyses

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

Research output: Contribution to journal › Review article › peer-review

4 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 language	English (US)
Pages (from-to)	2352-2354
Number of pages	3
Journal	ACS Chemical Neuroscience
Volume	8
Issue number	11
DOIs	https://doi.org/10.1021/acschemneuro.7b00341
State	Published - 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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10.1021/acschemneuro.7b00341

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title = "Caring about Power Analyses",

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.",

keywords = "Data analyses, effect size, replication crisis, scientific rigor",

author = "Murray, {Jennifer E.} and Barrett, {Scott T.} and Brock, {Rebecca L.} and Bevins, {Rick A.}",

note = "Funding Information: *E-mail: rbevins1@unl.edu. Telephone: 402-472-3721. ORCID Rick A. Bevins: 0000-0002-2438-2264 Funding R.A.B. and J.E.M. were partially supported by NIH Grants DA034389 and DA039356 while preparing this manuscript. Notes The opinions expressed in this Viewpoint are solely those of the authors. The authors declare no competing financial interest. Publisher Copyright: {\textcopyright} 2017 American Chemical Society.",

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doi = "10.1021/acschemneuro.7b00341",

language = "English (US)",

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AU - Barrett, Scott T.

AU - Brock, Rebecca L.

AU - Bevins, Rick A.

N1 - Funding Information: *E-mail: rbevins1@unl.edu. Telephone: 402-472-3721. ORCID Rick A. Bevins: 0000-0002-2438-2264 Funding R.A.B. and J.E.M. were partially supported by NIH Grants DA034389 and DA039356 while preparing this manuscript. Notes The opinions expressed in this Viewpoint are solely those of the authors. The authors declare no competing financial interest. Publisher Copyright: © 2017 American Chemical Society.

PY - 2017/11/15

Y1 - 2017/11/15

N2 - 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.

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KW - replication crisis

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Caring about Power Analyses

Abstract

Keywords

ASJC Scopus subject areas

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