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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...
Autores principales: | Mudge, Joseph F., Baker, Leanne F., Edge, Christopher B., Houlahan, Jeff E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289673/ https://www.ncbi.nlm.nih.gov/pubmed/22389720 http://dx.doi.org/10.1371/journal.pone.0032734 |
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