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- W2009172303 abstract "Growing interest in proximate and ultimate causes and consequences of between- and within-individual variation in labile components of the phenotype - such as behaviour or physiology - characterizes current research in evolutionary ecology. The study of individual variation requires tools for quantification and decomposition of phenotypic variation into between- and within-individual components. This is essential as variance components differ in their ecological and evolutionary implications. We provide an overview of how mixed-effect models can be used to partition variation in, and correlations among, phenotypic attributes into between- and within-individual variance components. Optimal sampling schemes to accurately estimate (with sufficient power) a wide range of repeatabilities and key (co)variance components, such as between- and within-individual correlations, are detailed. Mixed-effect models enable the usage of unambiguous terminology for patterns of biological variation that currently lack a formal statistical definition (e.g. 'animal personality' or 'behavioural syndromes'), and facilitate cross-fertilisation between disciplines such as behavioural ecology, ecological physiology and quantitative genetics." @default.
- W2009172303 created "2016-06-24" @default.
- W2009172303 creator A5006553339 @default.
- W2009172303 creator A5049179029 @default.
- W2009172303 date "2012-11-21" @default.
- W2009172303 modified "2023-10-14" @default.
- W2009172303 title "Quantifying individual variation in behaviour: mixed-effect modelling approaches" @default.
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- W2009172303 doi "https://doi.org/10.1111/1365-2656.12013" @default.
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