Literature DB >> 28933527

Caring about Power Analyses.

Jennifer E Murray1, Scott T Barrett1, Rebecca L Brock1, Rick A Bevins1.   

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

Mesh:

Year:  2017        PMID: 28933527     DOI: 10.1021/acschemneuro.7b00341

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  2 in total

1.  The importance of examining sex differences in animal models validated to induce an addiction-like phenotype.

Authors:  Eleanor Blair Towers; Wendy J Lynch
Journal:  Pharmacol Biochem Behav       Date:  2021-08-17       Impact factor: 3.697

2.  Family Science in the Context of the COVID-19 Pandemic: Solutions and New Directions.

Authors:  Rebecca L Brock; Lauren M Laifer
Journal:  Fam Process       Date:  2020-08-05
  2 in total

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