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Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit?
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Inconsistencies in the research findings on F-test robustness to variance heterogeneity could be related to the lack of a standard criterion to assess robustness or to the different measures used to quantify heterogeneity. In the present paper we use Monte Carlo simulation to systematically examine the Type I error rate of F-test under heterogeneity. One-way, balanced, and unbalanced designs with monotonic patterns of variance were considered. Variance ratio (VR) was used as a measure of heterogeneity (1.5, 1.6, 1.7, 1.8, 2, 3, 5, and 9), the coefficient of sample size variation as a measure of inequality between group sizes (0.16, 0.33, and 0.50), and the correlation between variance and group size as an indicator of the pairing between them (1, .50, 0, -.50, and -1). Overall, the results suggest that in terms of Type I error a VR above 1.5 may be established as a rule of thumb for considering a potential threat to F-test robustness under heterogeneity with unequal sample sizes.
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BLANCA MENA, M. José, et al. Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit?. Behavior Research Methods. 2018. Vol. 50, num. 3, pags. 937-962. ISSN 1554-351X. [consulted: 2 of October of 2026]. Available at: https://hdl.handle.net/2445/205744