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dc.contributor.authorKonstantopoulos, Spyrosen
dc.date.accessioned2008-05-23-
dc.date.accessioned2010-07-07T11:25:17Z-
dc.date.available2010-07-07T11:25:17Z-
dc.date.issued2007-
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
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x3178en
dc.subject.jelC00en
dc.subject.ddc330en
dc.subject.keywordVariance decompositionen
dc.subject.keywordnested designsen
dc.subject.keywordclusteringen
dc.subject.stwVarianzanalyseen
dc.subject.stwDekompositionsverfahrenen
dc.subject.stwClusteranalyseen
dc.subject.stwTheorieen
dc.subject.stwBildungsforschungen
dc.subject.stwUSAen
dc.titleA comment on variance decomposition and nesting effects in two- and three-level designs-
dc.type|aWorking Paperen
dc.identifier.ppn551074566en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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