Data with Hierarchical Structure: Impact of Intraclass Correlation and Sample Size on Type-I Error

Least squares analyses (e.g., ANOVAs, linear regressions) of hierarchical data leads to Type-I error rates that depart severely from the nominal Type-I error rate assumed. Thus, when least squares methods are used to analyze hierarchical data coming from designs in which some groups are assigned to...

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Detalles Bibliográficos
Autores principales: Musca, Serban C., Kamiejski, Rodolphe, Nugier, Armelle, Méot, Alain, Er-Rafiy, Abdelatif, Brauer, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3110485/
https://www.ncbi.nlm.nih.gov/pubmed/21687445
http://dx.doi.org/10.3389/fpsyg.2011.00074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3110485/
https://www.ncbi.nlm.nih.gov/pubmed/21687445
http://dx.doi.org/10.3389/fpsyg.2011.00074

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