Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists

By Shinichi Nakagawa, H. Schielzeth. Biological Reviews of The Cambridge Philosophical Society, 2010

2,470 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics

View Paper: https://www.semanticscholar.org/paper/9bc79ef5b6c11dc4997340b8468c7c84b14a3183

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Citations in the corpus

A meta-analysis of correlated behaviours with implications for behavioural syndromes: mean effect size, publication bias, phylogenetic effects and the role of mediator variables (2012, background): “Low repeatability may involve the possibility that behaviours change flexibly within individuals due to biological reasons or that they all behave in the same way, but also that these traits can be scored only with substantial error (Nakagawa and Schielzeth 2010).”
Glucocorticoid-Mediated Phenotypes in Vertebrates : Multilevel Variation and Evolution (2016, background): “…but spurious repeatability in “change in corticosterone”; and (2) performing “statistics on statistics” can inflate type 1 error rates because the uncertainty around the estimate of an individual’s flexibility is discarded (Budaev, 2010; Dingemanse & Dochtermann, 2013; Nakagawa & Schielzeth, 2010).”
Individual differences in searching behaviour and spatial foraging consistency in a central place marine predator (2014, methodology): “Th e repeatability (r) of each index and its associated standard error and p-value, testing the null hypothesis that between-group variance equals within-group variance, were estimated in the R package: rptR (Nakagawa and Schielzeth 2010).”
Multimodel inference in ecology and evolution: challenges and solutions (2011, methodology): “Although both methods of modelling overdispersion are suited for fitting GLMMs, different software packages may use either approach, affecting how the variance components (i.e. random effects) should be treated and interpreted (Nakagawa & Schielzeth, 2010).”
Personality-dependent spatial ecology occurs independently from dispersal in wild burbot (Lota lota) (2015, methodology): “…individuals between categorical contexts defined as imparting plasticity (Brommer 2013b) and 2) an absence of pseudo-repeatability, that is, personality should not be a function of differing experience along an environmental gradient (Nakagawa and Schielzeth 2010; Dingemanse and Dochtermann 2013).”
An approach to estimate short‐term, long‐term and reaction norm repeatability (2015, methodology): “Secondly, we detail how multilevel implementations of this equation enable the estimation of variation within and among individuals in reaction norm components, from which estimates of repeatability may subsequently be calculated using established approaches (e.g. Nakagawa & Schielzeth 2010).”
Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, background): “…drawn (e.g. P-values vs. information criterion), or specifics of dealing with non-normal error distributions (Bolker et al. 2009; Zuur et al. 2009; Nakagawa & Schielzeth 2010; see also Text S1, Supporting information); those issues have been extensively detailed in the statistical books and…”
Nested by design: model fitting and interpretation in a mixed model era (2013, methodology): “A critical quantity is the between-group variance that can be standardized by the total phenotypic variance to give the repeatability (a form of an intraclass correlation), such that it can be compared across studies (Nakagawa & Schielzeth 2010).”
Using repeatability to study physiological and behavioural traits: Ignore time-related change at your peril (2015, methodology): “…statistic, R, which has traditionally been used in quantitative genetics to estimate the proportion of trait variation that is attributed to individual differences (see equation 1; Hayes & Jenkins, 1997; Lessells & Boag, 1987b; McGraw & Wong, 1996; Nakagawa & Schielzeth, 2010; Wolak, et al., 2012).”