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Author Konstantopoulos, Spyros
Source EconStor
Content type Text
Publisher Institute for the Study of Labor (IZA)
File Format PDF
Language English
Subject Domain (in DDC) Social sciences ♦ Economics
Subject Keyword Variance decomposition ♦ nested designs ♦ clustering ♦ Varianzanalyse ♦ Dekompositionsverfahren ♦ Clusteranalyse ♦ Theorie ♦ Bildungsforschung ♦ USA ♦ Mathematical and Quantitative Methods: General
Abstract Multilevel 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.
Part of series IZA Discussion Papers x3178
Learning Resource Type Article
Publisher Date 2007-01-01
Publisher Place Bonn
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