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)|
|Number of pages||17|
|Journal||Human Communication Research|
|State||Published - Jul 2003|
ASJC Scopus subject areas
- Developmental and Educational Psychology
- Linguistics and Language