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Weak statistical standards implicated in scientific irreproducibility

ananyo (2519492) writes | about 9 months ago

1

ananyo (2519492) writes "The plague of non-reproducibility in science may be mostly due to scientists’ use of weak statistical tests, as shown by an innovative method developed by statistician Valen Johnson, at Texas A&M University. Johnson found that a P value of 0.05 or less — commonly considered evidence in support of a hypothesis in many fields including social science — still meant that as many as 17–25% of such findings are probably false. He advocates for scientists to use more stringent P values of 0.005 or less to support their findings, and thinks that the use of the 0.05 standard might account for most of the problem of non-reproducibility in science — even more than other issues, such as biases and scientific misconduct."
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Tsk-tsk-tsk, submitter, changing the wording (2)

mi (197448) | about 9 months ago | (#45399579)

commonly considered evidence in support of a hypothesis in many fields including social science

Note, how the above wording (emphasis mine) suggests, the weak methods used in many fields — social science among them.

The TFA, however, is different:

commonly considered evidence in support of a hypothesis in fields such as social science

The article, obviously, singles-out "social science" in particular... Why would the submitter seek to spin the wording to soften the blow against "social science"?

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