| Título | When to use Bootstrap-F in One-Way Repeated Measures ANOVA Type I Error and Power |
|---|---|
| Autores | MARTÍN RÍOS, BLANCA, Bono, Roser , Arnau, Jaume , GARCÍA DE CASTRO, FERNANDO JAVIER, Alarcon, Rafael , Vallejo, Guillermo |
| Publicación externa | No |
| Medio | Psicothema |
| Alcance | Article |
| Naturaleza | Científica |
| Cuartil JCR | 1 |
| Cuartil SJR | 1 |
| Fecha de publicacion | 01/01/2025 |
| ISI | 001522926700002 |
| DOI | 10.70478/psicothema.2025.37.20 |
| Abstract | Background: With repeated measures, the traditional ANOVAF-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 ofB-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. |
| Palabras clave | Within-subject design; Greenhouse-Geisser adjustment; Huynh-Feldt adjustment; Robustness; Bootstrap-F |
| Miembros de la Universidad Loyola |