How to proceed when both normality and sphericity are violated in repeated measures ANOVA

Adjusted F-tests have typically been proposed as an alternative to the F-statistic in repeated measures ANOVA. Despite considerable re-search, it remains unclear how these statistics perform under simultaneous violation of normality and sphericity. Accordingly, our aim here was to conduct a detailed...

Descripción completa

Detalles Bibliográficos
Autores: Blanca, María J., Alarcón, Rafael, Arnau, Jaume, García-Castro, F. Javier, Bono, Roser
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Murcia
Repositorio:DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
OAI Identifier:oai:digitum.um.es:10201/143644
Acceso en línea:https://doi.org/10.6018/analesps.594291
http://hdl.handle.net/10201/143644
Access Level:acceso abierto
Palabra clave:Greenhouse-Geisser adjustment
Huynh-Feldt adjustment
Ajuste Greenhouse-Geisser
Ajuste Huynh-Feldt.
CDU::1 - Filosofía y psicología::159.9 - Psicología
Descripción
Sumario:Adjusted F-tests have typically been proposed as an alternative to the F-statistic in repeated measures ANOVA. Despite considerable re-search, it remains unclear how these statistics perform under simultaneous violation of normality and sphericity. Accordingly, our aim here was to conduct a detailed examination of Type I error and power of the F-statistic and the Greenhouse-Geisser (F-GG) and Huynh-Feldt (F-HF) adjustments, manipulating the number of repeated measures (3-6), sample size (10-300), sphericity (Greenhouse-Geisser epsilon estimator, , from its lower to upper limit), and distribution shape (slight to extreme deviations from normality). The findings show that the behavior of F-GGand F-HFdepends on the degree of violation of both normality, sphericity, and sample size. Overall, we suggest using F-GG under violation of sphericity and slight or moderate deviations from normality in all sample size; with severe deviations from both normality and sphericity F-GGmay be used with a sample size larger than 10; and with extreme deviation from both normali-ty and sphericity this statistic may be used with a sample size larger than 30. In the event of discrepant results between F-GGand F-HF, the choice depends on the value.