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- W4254146265 abstract "A recent proposal to redefine statistical significance (Benjamin, et al. Nature Human Behaviour, 2017) claims that false positive rates would immediately improve by factors greater than two and replication rates would double simply by changing the conventional cutoff for 'statistical significance' from P<0.05 to P<0.005. I analyze the veracity of these claims, focusing especially on how Benjamin, et al neglect the effects of P-hacking in assessing the impact of their proposal. My analysis shows that once P-hacking is accounted for the perceived benefits of the lower threshold all but disappear, prompting two main conclusions: (i) The claimed improvements to false positive rate and replication rate in Benjamin, et al (2017) are exaggerated and misleading. (ii) There are plausible scenarios under which the lower cutoff will make the replication crisis worse." @default.
- W4254146265 created "2022-05-12" @default.
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- W4254146265 date "2017-11-19" @default.
- W4254146265 modified "2023-10-17" @default.
- W4254146265 title "The impact of P-hacking on Redefine statistical significance" @default.
- W4254146265 doi "https://doi.org/10.31234/osf.io/bp2z4" @default.
- W4254146265 hasPublicationYear "2017" @default.
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