"P-hacking is widespread."
March 17, 2015 3:01 PM Subscribe
P-hacking, or inflation bias, is the selective inclusion of experimental results that suggest statistical significance, as well as the selective exclusion of results which argue against the hypothesis. Skewing work towards positive results helps investigators publish in high-profile journals, which in turn improves access to funding. In a recent PLOS publication, Michael Jennions and Megan Head use text-mining and meta-analyses to determine the extent to which this influences a broad array of published research, offering recommendations on how to reduce this practice.
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