The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research

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RT @vamrhein: A significance test often does not make a clear statement about an effect, but instead it "examines if the sample size is lar…
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A significance test often does not make a clear statement about an effect, but instead it "examines if the sample size is large enough to detect the effect" (Werner Stahel 2016). https://t.co/HPbcFlNKmq
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https://t.co/lYAKGOqLn4
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2112 days ago
RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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2113 days ago
RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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RT @vamrhein: 1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. th…
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1/3 We should interpret larger p-values as perhaps less convincing but generally positive evidence against the model incl. the null hypothesis, instead of evidence that is necessarily negative or uninterpretable or only shows we did not collect enough data.https://t.co/8AOv1WfH9K
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RT @ThomasRowland90: I found this a very useful & accessible discussion on p values and inference https://t.co/pPcwzTyZmQ
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RT @ThomasRowland90: I found this a very useful & accessible discussion on p values and inference https://t.co/pPcwzTyZmQ
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@shravanvasishth Yes, but that's not a published *original* claim, no? I collected some references to similar surveys on false beliefs here: https://t.co/zHOE8rq0HD
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RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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@VPrasadMDMPH @f_g_zampieri Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices of compatibility between the data and the model. See https://t.co/PnRCHpMwzE and https://t.co/20zlyHGYQe.
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2116 days ago
RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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2116 days ago
RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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@ian_soboroff @SolomonMg Let's not give up the fight! In addition, I will try to drop "confidence" and call it compatibility interval. See https://t.co/y6ZeHs4xSm and https://t.co/VNayXZikC9
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@MaartenvSmeden I don't like trends, but I like that trends are increasing. This shows that dichotomania is gradually decreasing, and that people are prepared to interpret p-values as continuous indices of compatibility between the data and the model. https://t.co/Fx2CEbkpps
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... selecting the variables to be measured, in determining the data sampling scheme, the statistical model, the test statistic, how to verify whether model assumptions are met, how to handle outliers, how to transform the data, which software to use. https://t.co/ARnvLhn25f
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RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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RT @vamrhein: Whoever wants to deemphasize "trends" should deemphasize "significance" in general and present p-values as continuous indices…
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