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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Research Foundation
2011
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| Materias: | |
| 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 |