when i was an escort, there was a slight (r=0.2) negative correlation (p=0.1) between the likelihood that I had an orgasm and the physical attractiveness of my client.
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I would have left it out and relegated it to a table somewhere. It’s most meaningful alongside the parameter values or effect sizes it tests the significance of. What was your model here? Linear probability, logistic regression, or something else?
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Fuck p values. Leave em out. Rampant p hacking has ruined what was not a very good method for analyzing the fit of a statistical model. See https://www.amstat.org/asa/files/pdfs/p-valuestatement.pdf …
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With hypothesis preregistration p-values still seem okay. Although it is unfortunate that the same benchmark is used for evaluating very surprising and very unsurprising results.
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