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...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2012
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289673/ |