Quantifying individual variation in behaviour: mixed-effect modelling approaches
TLDR
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 is provided.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.read more
Citations
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Models of personality structure
Boele De Raad,Dick P. H. Barelds +1 more
TL;DR: In this paper, models of personality structure are discussed, where the authors refer to the organization of the various features of personality as based in theory or in empirical findings, with the term "personality structure".
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Plasticity and personality of parental care in the clown anemonefish
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Quantifying individual heterogeneity and its influence on life‐history trajectories: different methods for different questions and contexts
Sandra Hamel,Jean-Michel Gaillard,Mathieu Douhard,Marco Festa-Bianchet,Fanie Pelletier,Nigel G. Yoccoz +5 more
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The correlation between coloration and exploration behaviour varies across hierarchical levels in a wild passerine bird
Marion Nicolaus,Marion Nicolaus,Marion Nicolaus,Romain Piault,Richard Ubels,Joost M. Tinbergen,Niels Jeroen Dingemanse,Niels Jeroen Dingemanse +7 more
TL;DR: These findings imply that testing hypotheses regarding the existence of a ‘syndrome’ at the among‐individual level strictly requires variance partitioning to avoid inappropriate interpretations as the negative ‘unpartitioned’ phenotypic correlation between exploration and tie size resulted from counteracting effects of within‐ and within‐individual correlations.
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Genetic basis of between-individual and within-individual variance of docility.
TL;DR: It is concluded that the variability in the predictability of a trait should not be ignored, and a coherent approach for its quantification is presented, one of the first to estimate the genetic basis of both mean trait and within‐individual variance in a wild population.
References
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Book
Introduction to quantitative genetics
TL;DR: The genetic constitution of a population: Hardy-Weinberg equilibrium and changes in gene frequency: migration mutation, changes of variance, and heritability are studied.
Book
Mixed-Effects Models in S and S-PLUS
TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
Journal Article
Human biochemical genetics
TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
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Multilevel analysis : an introduction to basic and advanced multilevel modeling
Tom A. B. Snijders,Roel Bosker +1 more
TL;DR: In this paper, the authors proposed a multilevel regression model to estimate within-and between-group correlations using a combination of within-group correlation and cross-group evidence.
Journal ArticleDOI
Generalized linear mixed models: a practical guide for ecology and evolution
Benjamin M. Bolker,Mollie Elizabeth Brooks,Connie J. Clark,Shane W. Geange,John R. Poulsen,M. Henry H. Stevens,Jada-Simone S. White +6 more
TL;DR: The use (and misuse) of GLMMs in ecology and evolution are reviewed, estimation and inference are discussed, and 'best-practice' data analysis procedures for scientists facing this challenge are summarized.