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dc.contributor.authorKonstantopoulos, Spyrosen_US
dc.date.accessioned2008-05-23en_US
dc.date.accessioned2010-07-07T11:25:17Z-
dc.date.available2010-07-07T11:25:17Z-
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/10419/34624-
dc.description.abstractMultilevel models are widely used in education and social science research. However, the effects of omitting levels of the hierarchy on the variance decomposition and the clustering effects have not been well documented. This paper discusses how omitting one level in three-level models affects the variance decomposition and clustering in the resulting two-level models. Specifically, I used the ANOVA framework and provided results for simple models that do not include predictors and assumed balanced nested data (or designs). The results are useful for teacher and school effects research as well as for power analysis during the designing stage of a study. The usefulness of the methods is demonstrated using data from Project STAR.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 3178en_US
dc.subject.jelC00en_US
dc.subject.ddc330en_US
dc.subject.keywordVariance decompositionen_US
dc.subject.keywordnested designsen_US
dc.subject.keywordclusteringen_US
dc.subject.stwVarianzanalyseen_US
dc.subject.stwDekompositionsverfahrenen_US
dc.subject.stwClusteranalyseen_US
dc.subject.stwTheorieen_US
dc.subject.stwBildungsforschungen_US
dc.subject.stwUSAen_US
dc.titleA comment on variance decomposition and nesting effects in two- and three-level designsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn551074566en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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