p-Curve and Effect Size

@article{Simonsohn2014pCurveAE,
  title={p-Curve and Effect Size},
  author={U. Simonsohn and L. Nelson and J. Simmons},
  journal={Perspectives on Psychological Science},
  year={2014},
  volume={9},
  pages={666 - 681}
}
  • U. Simonsohn, L. Nelson, J. Simmons
  • Published 2014
  • Computer Science, Medicine
  • Perspectives on Psychological Science
  • Journals tend to publish only statistically significant evidence, creating a scientific record that markedly overstates the size of effects. We provide a new tool that corrects for this bias without requiring access to nonsignificant results. It capitalizes on the fact that the distribution of significant p values, p-curve, is a function of the true underlying effect. Researchers armed only with sample sizes and test results of the published findings can correct for publication bias. We… CONTINUE READING
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