Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test
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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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A Welch's t-test for unequal variances was performed instead of a t-test for independent samples because homogeneity of variances could not be assumed.
“Originally, the researcher planned to conduct a t-test for independent samples, but when Levene's test returned non-tenable results (p = .000)in all tested hypothesis topics indicating that homogeneity of variances could not be assumed, a Welch's t-test for unequal variances was performed instead.”
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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
- Publisher
- Ubiquity Press, Ltd.
- 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
- diamond
- doi.org
- Licence
- 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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