Bonferroni Correction

The Bonferroni correction is a method for adjusting alpha (α) across a set of significance tests where α is the probability of making a Type I error. A Type I error is the probability of rejecting the null hypothesis when the null hypothesis is actually true within the population. For a single significance test, a researcher sets an α-level representing the risk the researcher will reject the null hypotheses when the null is true. In practical terms, this risk is the chance a researcher might say two variables are correlated or there is some difference between two groups when in fact no correlation or difference exists. If α is set at p < .05 then there is a 5% chance for that test ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles