RT Journal Article
T1 When to use Bootstrap-F in One-Way Repeated Measures ANOVA: Type I Error and Power.
A1 Blanca-Mena, María José
A1 Bono Cabré, Roser
A1 Arnau, Jaume
A1 García-Castro, F. Javier
A1 Alarcón-Postigo, Rafael
A1 Vallejo, Guillermo
K1 Psicología - Metodología
K1 Análisis de varianza
AB 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.
PB Grupo Editorial de Psicofundación
YR 2025
FD 2025
LK https://hdl.handle.net/10630/40153
UL https://hdl.handle.net/10630/40153
LA eng
NO Blanca, M. J., Bono, R., Arnau, J., Alarcón, R., García-Castro, F. J., & Vallejo, G. (2025). When to use Bootstrap-F in One-Way Repeated Measures ANOVA: Type I Error and Power. Psicothema, 37(3), 12-22. https://doi.org/10.70478/psicothema.2025.37.20
NO Ministerio de Ciencia e Innovación
NO Grupo Consolidado de la Junta de Andalucía CTS-110
NO PID2020-113191GB-I00
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026