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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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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2012
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| Soggetti: | |
| Accesso online: | 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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