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https://doi.org/10.12758/mda.2016.005
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Cluster size and aggregated level 2 variables in multilevel models: a cautionary note
[Zeitschriftenartikel]
Abstract "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... mehr
"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 cluster-mean of a certain property, e.g. the average income or the proportion of certain people in a neighborhood. To this end, a simulation study is used to determine the effect of varying cluster sizes and number of clusters. The results show that small cluster sizes can cause severe downward bias in estimated regression weights of aggregated level 2 variables. Bias does not decrease if the number of clusters (i.e. the level 2 units) increases." (author's abstract)... weniger
Thesaurusschlagwörter
Cluster-Analyse; Parameter; Regression; Schätzung; Simulation; Stichprobe; lineares Modell; Umfrageforschung
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
multilevel modeling; hierarchical linear model; sample size
Sprache Dokument
Englisch
Publikationsjahr
2016
Seitenangabe
S. 97-108
Zeitschriftentitel
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 10 (2016) 1
ISSN
2190-4936
Status
Veröffentlichungsversion; begutachtet (peer reviewed)