Data with hierarchical structure: impact of intraclass correlation and sample size on Type-I error

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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Bibliographic Details
Main Authors: Serban C Musca, Rodolphe eKamiejski, Armelle eNugier, Alain eMéot, Abdelatif eEr-rafiy, Markus eBrauer
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-04-01
Series:Frontiers in Psychology
Subjects:
correction for nonindependence of observations
groups nested under treatment
hierarchical data structure
multilevel modeling
Type-I error
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2011.00074/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2011.00074/full

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