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Using Effect Size—or Why the P Value Is Not Enough - PMC

ncbi.nlm.nih.gov · 2,290 words · saved by 1 readers

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. Statistical significance is the least interesting thing about the results. You should describe the results in terms of measures of magnitude –not just, does a treatment affect people, but how much does it affect them. -Gene V. Glass1 The primary product of a research inquiry is one or more measures of effect size, not P values. -Jacob Cohen2 These statements about the importance of effect sizes were made by two of the most influential statistician-researchers of the past half-century. Yet many submissions to Journal of Graduate Medical Education om

editorial J Grad Med Educ . 2012 Sep;4(3):279–282. doi: 10.4300/JGME-D-12-00156.1 Using Effect Size—or Why the P Value Is Not Enough Gail M Sullivan Gail M Sullivan , MD, MPH Find articles by Gail M Sullivan , Richard Feinn Richard Feinn , PhD Find articles by Richard Feinn Author information Copyright and License information ✉ Corresponding author: Gail M. Sullivan, MD, MPH, University of Connecticut, 253 Farmington Avenue, Farmington, CT 06030-5215, gsullivan@nso1.uchc.edu Accreditation Council for Graduate Medical Education PMC Copyright notice PMCID: PMC3444174 PMID: 23997866 Statistical s

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