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Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test

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Delacre, Marie, Lakens, Daniël, Leys, Christophe·2017·International Review of Social Psychology

Abstract

When comparing two independent groups, psychology researchers commonly use Student’s t-tests. Assumptions of normality and homogeneity of variance underlie this test. More often than not, when these conditions are not met, Student’s t-test can be severely biased and lead to invalid statistical inferences. Moreover, we argue that the assumption of equal variances will seldom hold in psychological research, and choosing between Student’s t-test and Welch’s t-test based on the outcomes of a test of the equality of variances often fails to provide an appropriate answer. We show that the Welch’s t-test provides a better control of Type 1 error rates when the assumption of homogeneity of variance is not met, and it loses little robustness compared to Student’s t-test when the assumptions are met. We argue that Welch’s t-test should be used as a default strategy. Publisher’s Note: A correction article relating to this paper has been published and can be found at https://www.rips-irsp.com/articles/10.5334/irsp.661/.

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Authors
Delacre, M., Lakens, D., & Leys, C.
Affiliations
  • Université Libre de Bruxelles (BE)
  • Eindhoven University of Technology (NL)
Corresponding author
  • Delacre, Marie
  • Leys, Christophe
Venue
International Review of Social Psychology
Published
2017-04-05
Volume
30
Issue
1
Pages
92-101
ISSN
  • 0992-986X (ISSN-L)
  • 2397-8570
OpenAlex
W2604452528
Cited by
1,037
References
4
Citations by year
2026: 178 · 2025: 147 · 2024: 151 · 2023: 123 · 2022: 132 · 2021: 101 · 2020: 87 · 2019: 67 · 2018: 41 · 2017: 10
FWCI
39.18
Type
journal article
Language
en
Open access
Locations
  • International Review of Social Psychology (publishedVersion, cc-by)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion, other-oa)
  • TU/e Research Portal (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • International Review of Social Psychology (Association pour la Diffusion de la Recherche Internationale en Psychologie Sociale) (submittedVersion, cc-by)
  • TU/e Research Portal (submittedVersion, cc-by)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
Welch's t-test, Student's t-test, heteroscedasticity, homoscedasticity, type I error rate, robustness

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