|Maintainer||Daniël de Kok <email@example.com>|
The more tests that are applied on a dataset, the more likely it becomes that a Type I error occurs (rejecting the null hypothesis when it is true). This module provides significance level corrections for repeated tests.
For more information, see:
- Bonferroni and Šidák corrections for multiple comparisons, H. Abdi, 2007, in: N.J. Salkind (ed.), Encyclopedia of Measurement and Statistics, Thousand Oaks, CA: Sage
|:: (Floating f, Integral i)|
Number of comparisons
The corrected significance level
Sidak correction: α* = 1 - (1 - α)^(1 / n), where α is the intended significance level over all tests, n the number of tests, and α* the corrected significance level.