P-curve: A key to the file-drawer

Uri Simonsohn, Leif D. Nelson, Joseph P. Simmons

Producció científica: Article en revista indexadaArticleAvaluat per experts

968 Cites (Scopus)

Resum

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.

Idioma originalAnglès
Pàgines (de-a)534-547
Nombre de pàgines14
RevistaJournal of Experimental Psychology: General
Volum143
Número2
DOIs
Estat de la publicacióPublicada - d’abr. 2014
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