Measuring individual differences in reaction norms in field and experimental studies: a power analysis of random regression models
By Julien Martin, D. Nussey, Alastair J. Wilson, Denis Réale. 2011
300 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0ebdf199fed3091f9139af18d8463502373c18af
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology, Evolution, Behavior and Systematics
- N. Dingemanse
- Kimberley J. Mathot
- P. Biro
- J. Stamps
- Shinichi Nakagawa
- H. Schielzeth
- Y. Araya-Ajoy
- N. Dochtermann
In Nature and Landscape Conservation
- Shinichi Nakagawa
- N. Dingemanse
- H. Schielzeth
- Y. Araya-Ajoy
- Kimberley J. Mathot
- J. Stamps
- N. Dochtermann
- P. Henry
Citations in the corpus
- Nested by design: model fitting and interpretation in a mixed model era (2013, background): “Some fields of research such as quantitative genetics (Falconer & Mackay 1996; Lynch & Walsh 1998) or the literature on personality traits and phenotypic plasticity (Dingemanse et al. 2009; Martin et al. 2011) are indeed focused on the interpretation of variance components.”
- Unpredictable animals: individual differences in intraindividual variability (IIV) (2012, methodology): “Currently, most of the statistical models that are used to study individual differences explicitly assume that individual observations are drawn from the sameunderlying distributionwith constant variance (Singer &Willett 2003; Littell et al. 2006;Martin et al. 2010;West et al. 2010; but see Hoffman ”
- An approach to estimate short‐term, long‐term and reaction norm repeatability (2015, background): “This design alone enables the estimation of residual within-series variance; nevertheless, series with fewer measurements should not be discarded because such data do contribute useful information to the estimation of the statistical model (Martin et al. 2011).”
- Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, unknown): “, variables explaining behavioral intention in our case [73].”
- Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, background): “Martin et al. (2011) and van de Pol (2012) recently discussed sample size requirements for the estimation of intercept-slope correlations (rind0;ind1 ) and provide software for sampling optimization for several variance components.”
- SIMR: an R package for power analysis of generalized linear mixed models by simulation (2016, methodology): “1) currently available for power analysis of mixed models (Martin et al. 2011; Reich et al. 2012; Donohue & Edland 2013; Galecki & Burzykowshi 2013).”
- Individual flexibility in energy saving: body size and condition constrain torpor use (2013, methodology): “skin temperature (Tsk) to air temperature (Ta), body condition and body size, using an individual reaction norm approach – a suitable statistical framework to quantify and compare phenotypic plasticity between individuals (Nussey, Wilson & Brommer 2007; Martin et al. 2011).”