Type I and Type II Errors

Raquel V. Oliveira

doi:10.1002/9781119111931.ch70

Type I and Type II Errors

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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)
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	https://doi.org/10.1002/9781119111931.ch70
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)

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10.1002/9781119111931.ch70

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Type I and Type II Errors

Abstract

Keywords

ASJC Scopus subject areas

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