Redefine Statistical Significance Part IV: A Second Demonstration

In the two previous posts on the paper “Redefine Statistical Significance”, we reanalyzed Experiment 1 from “Red, Rank, and Romance in Women Viewing Men” (Elliot et al., 2010). Female undergrads rated the attractiveness of a single male from a black-and-white photo. Ten women saw the photo on a red background, and eleven saw the photo on a white background. The…

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Redefine Statistical Significance Part III: Informed Priors and Oracle Priors

Has the common criterion for statistical significance –“1-in-20”– tempted researchers into making strong claims from weak evidence? Should p-values near .05 be considered only suggestive? Are researchers caught in a bad romance? Last year, the American Statistical Association stated that “a p-value near 0.05 taken by itself offers only weak evidence against the null hypothesis” (Wasserstein and Lazar, 2016, p.…

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Redefine Statistical Significance Part II: Caught in a Bad Romance?

In the previous post we discussed the paper “Redefine Statistical Significance”. The key point of that paper was that p-values near .05 provide (at best) only weak evidence against the null hypothesis. This contradicts current practice, where p-values slightly lower than .05 bring forth an epistemic jamboree, one where researchers merrily draw bold conclusions such as “we reject the null…

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Redefine Statistical Significance Part I: Sleep Trolls & Red Herrings

Statisticians have worried about the evidential impact of p-values for over 60 years. Again and again, they reported that p-values slightly lower than .05 provide only weak evidence against the null hypothesis (e.g., Edwards, Lindman, & Savage, 1963; Berger & Delampady, 1987; Sellke, Bayarri, & Berger, 2001; Johnson, 2013). Last year, the American Statistical Association (ASA) issued a statementon p-values…

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