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Setting an Optimal α That Minimizes Errors in Null Hypothesis Significance Tests

Null hypothesis significance testing has been under attack in recent years, partly owing to the arbitrary nature of setting α (the decision-making threshold and probability of Type I error) at a constant value, usually 0.05. If the goal of null hypothesis testing is to present conclusions in which w...

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Main Authors: Mudge, Joseph F., Baker, Leanne F., Edge, Christopher B., Houlahan, Jeff E.
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science 2012
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC3289673/
https://ncbi.nlm.nih.gov/pubmed/22389720
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0032734
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