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- W2890949085 abstract "In their proposal to “redefine statistical significance,” Benjamin et al. claim that lowering the default cutoff for statistical significance from .05 to .005 would “immediately improve the reproducibility of scientific research in many fields.” Benjamin et al. assert specifically that false positive rates would fall below 10% and replication rates would double under the lower cutoff. I analyze these claims here, showing how the failure to account for P-hacking and other widespread reporting issues leads to exaggerated and misleading conclusions about the potential impact of the .005 proposal." @default.
- W2890949085 created "2018-09-27" @default.
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- W2890949085 date "2018-07-04" @default.
- W2890949085 modified "2023-10-13" @default.
- W2890949085 title "The Impact of<i>P</i>-hacking on “Redefine Statistical Significance”" @default.
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- W2890949085 doi "https://doi.org/10.1080/01973533.2018.1474111" @default.
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