Cluster Size and Aggregated Level 2 Variables in Multilevel Models. A Cautionary Note
This paper explores the consequences of small cluster size for parameter estimation in multilevel models. In particular, the interest lies in parameter estimates (regression weights) in linear multilevel models of level 2 variables that are functions of level 1 variables, as for instance the cluste...
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| Format: | Article |
| Language: | English |
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GESIS - Leibniz-Institute for the Social Sciences, Mannheim
2016-06-01
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| Series: | Methoden, Daten, Analysen |
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| Online Access: | https://mda.gesis.org/index.php/mda/article/view/2016.005/48 |