Type I and Type II Errors

Research output: Chapter in Book/Report/Conference proceedingChapter


Type I and Type II errors are special cases of inferential mistakes that can occur when testing a specific hypothesis. For any given statistical test, the significance level established represents the probability of committing a Type I error. One strategy for reducing Type I errors would be to use more conservative a levels. A second strategy to reduce the likelihood of making a Type I error is related to multiple hypothesis testing on the same data. One way to reduce the likelihood of Type II errors is to select more conservative p levels, such as 0.10, which will reduce the probability of Type II error to 10% and increase statistical power. As with Type I error, there are several general strategies that can be used to increase the statistical power of a given study beyond the use of more conservative p levels.

Original languageEnglish (US)
Title of host publicationThe Encyclopedia of Research Methods in Criminology and Criminal Justice
Subtitle of host publicationVolume II: Parts 5-8
Number of pages6
ISBN (Electronic)9781119111931
ISBN (Print)9781119110729
StatePublished - Jan 1 2021
Externally publishedYes


  • Hypothesis testing
  • Statistical power
  • Type I error
  • Type II errors

ASJC Scopus subject areas

  • Social Sciences(all)


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