## Abstract

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 language | English (US) |
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Title of host publication | The Encyclopedia of Research Methods in Criminology and Criminal Justice |

Subtitle of host publication | Volume II: Parts 5-8 |

Publisher | wiley |

Pages | 348-353 |

Number of pages | 6 |

ISBN (Electronic) | 9781119111931 |

ISBN (Print) | 9781119110729 |

DOIs | |

State | Published - Jan 1 2021 |

Externally published | Yes |

## Keywords

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

## ASJC Scopus subject areas

- Social Sciences(all)