Abstract
Type I error is a risk undertaken whenever significance tests are conducted, and the chances of committing a Type I error increase as the number of significance tests increases. But adjusting the alpha level because of the number of tests conducted in a given study has no principled basis, commits one to absurd beliefs and practices, and reduces statistical power. The practice of requiring or employing such adjustments should be abandoned.
Original language | English (US) |
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Pages (from-to) | 431-447 |
Number of pages | 17 |
Journal | Human Communication Research |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2003 |
ASJC Scopus subject areas
- Communication
- Developmental and Educational Psychology
- Anthropology
- Linguistics and Language