When to use Bootstrap-F in One-Way Repeated Measures ANOVA: Type I Error and Power

Simple item page
dc.contributor.authorMaría J. Blanca
dc.contributor.authorRoser Bono
dc.contributor.authorJaume Arnau
dc.contributor.authorF. Javier García-Castro
dc.contributor.authorRafael Alarcón
dc.contributor.authorGuillermo Vallejo
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:38:40Z
dc.date.available2026-03-22T19:38:40Z
dc.date.issued2025
dc.description.abstractB-F is robust under non-normality and non-sphericity with sample sizes larger than 20-25.
dc.identifier.doi10.70478/psicothema.2025.37.20
dc.identifier.urihttps://doi.org/10.70478/psicothema.2025.37.20
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/77267
dc.language.isoen
dc.publisherCologio Oficial de Psicólogos del Principado
dc.relation.ispartofPsicothema
dc.sourceUniversidad de Málaga
dc.subjectRepeated measures design
dc.subjectAnalysis of variance
dc.subjectType I and type II errors
dc.subjectStatistics
dc.subjectMixed-design analysis of variance
dc.subjectMathematics
dc.subjectType (biology)
dc.subjectEconometrics
dc.titleWhen to use Bootstrap-F in One-Way Repeated Measures ANOVA: Type I Error and Power
dc.typearticle

Files

Collections

Artículo Científico Publicado