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Citation

Database: PsycARTICLES
[ Journal Article ]
P-curve: A key to the file-drawer.
Simonsohn, Uri; Nelson, Leif D.; Simmons, Joseph P.
Journal of Experimental Psychology: General, Vol 143(2), Apr 2014, 534-547. http://dx.doi.org/10.1037/a0033242

Abstract

  1. Because scientists tend to report only studies (publication bias) or analyses (p-hacking) that “work,” readers must ask, “Are these effects true, or do they merely reflect selective reporting?” We introduce p-curve as a way to answer this question. P-curve is the distribution of statistically significant p values for a set of studies (ps < .05). Because only true effects are expected to generate right-skewed p-curves—containing more low (.01s) than high (.04s) significant p values—only right-skewed p-curves are diagnostic of evidential value. By telling us whether we can rule out selective reporting as the sole explanation for a set of findings, p-curve offers a solution to the age-old inferential problems caused by file-drawers of failed studies and analyses. (PsycINFO Database Record (c) 2014 APA, all rights reserved)

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