• Corpus ID: 208138138

Variance partitioning in multilevel models for count data

@article{Leckie2019VariancePI,
  title={Variance partitioning in multilevel models for count data},
  author={George Leckie and William J. Browne and Harvey Goldstein and Juan Merlo and Peter C. Austin},
  journal={arXiv: Methodology},
  year={2019}
}
A first step when fitting multilevel models to continuous responses is to explore the degree of clustering in the data. Researchers fit variance-component models and then report the proportion of variation in the response that is due to systematic differences between clusters. Equally they report the response correlation between units within a cluster. These statistics are popularly referred to as variance partition coefficients (VPCs) and intraclass correlation coefficients (ICCs). When… 

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