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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/227114
When to use Bootstrap-F in one-way repeated measures ANOVA: Type I error and power
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Background: With repeated measures, the traditional ANOVA F-statistic requires fulfillment of normality and sphericity. Bootstrap-F (B-F) has been proposed as a procedure for dealing with violation of these assumptions when conducting a one-way repeated measures ANOVA. However, evidence regarding its robustness and power is limited. Our aim is to extend knowledge about the behavior of B-F with a wider range of conditions. Method: A simulation study was performed, manipulating the number of repeated measures, sample sizes, epsilon values, and distribution shape. Results: B-F may become conservative with higher values of epsilon, and liberal under extreme violation of both normality and sphericity and small sample sizes. In these cases, B-F may be used with a more stringent alpha level (.025). The results also show that power is affected by sphericity: the lower the epsilon value, the larger the sample size required to ensure adequate power. Conclusions: B-F is robust under non-normality and non-sphericity with sample sizes larger than 20-25.
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BLANCA MENA, M. josé, BONO CABRÉ, Roser, ARNAU GRAS, Jaume, GARCÍA-CASTRO, F. javier, ALARCÓN POSTIGO, Rafael, VALLEJO, Guillermo. When to use Bootstrap-F in one-way repeated measures ANOVA: Type I error and power. _Psicothema_. 2025. Vol. 37, núm. 3, pàgs. 12-22. [consulta: 6 de març de 2026]. ISSN: 0214-9915. [Disponible a: https://hdl.handle.net/2445/227114]