Journal article
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
Actions
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- Publisher copy:
- 10.7717/peerj.1715
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Authors
Funding
Bibliographic Details
- Publisher:
- PeerJ Publisher's website
- Journal:
- PeerJ Journal website
- Volume:
- 4
- Issue:
- e1715
- Publication date:
- 2016-02-18
- Acceptance date:
- 2016-01-29
- DOI:
- ISSN:
-
2167-8359
- Source identifiers:
-
604838
Item Description
- Keywords:
- Pubs id:
-
pubs:604838
- UUID:
-
uuid:45bc4e77-7716-40fe-a1b1-30c3b6fa3aba
- Local pid:
- pubs:604838
- Deposit date:
- 2016-02-18
Terms of use
- Copyright holder:
- Bishop and Thompson
- Copyright date:
- 2016
- Notes:
- © Copyright 2016 Bishop and Thompson. Distributed under Creative Commons CC-BY 4.0
- Licence:
- CC Attribution (CC BY)
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