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Problems in using p-curve analysis and text-mining to detect rate of p-hacking and evidential value

Abstract:

Background

The p-curve is a plot of the distribution of p-values reported in a set of scientific studies. Comparisons between ranges of p-values have been used to evaluate fields of research in terms of the extent to which studies have genuine evidential value, and the extent to which they suffer from bias in the selection of variables and analyses for publication, p-hacking.

Methods

p-hacking can take various forms. Here we used R code to simulate the use of ghost...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.7717/peerj.1715

Authors


More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Publisher:
PeerJ Publisher's website
Journal:
PeerJ Journal website
Volume:
4
Issue:
e1715
DOI:
ISSN:
2167-8359
URN:
uuid:45bc4e77-7716-40fe-a1b1-30c3b6fa3aba
Source identifiers:
604838
Local pid:
pubs:604838

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