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- Title
Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit?
- Authors
Blanca, María J.; Alarcón, Rafael; Arnau, Jaume; Bono, Roser; Bendayan, Rebecca
- Abstract
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.
- Subjects
ANALYSIS of variance; F-test (Mathematical statistics); PSYCHOBIOLOGY; CHILD development; ROBUST control; HETEROGENEITY; SAMPLE size (Statistics)
- Publication
Behavior Research Methods, 2018, Vol 50, Issue 3, p937
- ISSN
1554-351X
- Publication type
Article
- DOI
10.3758/s13428-017-0918-2