A simple method for distinguishing within- versus between-subject effects using mixed models

By Martijn van de Pol, Jonathan Wright. 2009

939 citations recorded by the source corpus.

Subfields: Applied Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/328fa8a970aee73ff1ed6909a79f7c81c049a353

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In Applied Psychology

In Sociology and Political Science

Citations in the corpus

Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists (2010, background): “…that act on two hierarchical levels can be decomposed into data-level and group-level (individual-level) components (Gelman & Hill, 2007; van de Pol & Wright, 2009), the data-level component of which will tend to increase the repeatability, while the individual-level component will tend to…”
A statistical framework to explore ontogenetic growth variation among individuals and populations: a marine fish example (2015, background): “Data sets collected from wild animals, such as otolith increment measurements, also pose a problem to studying individual-level variation, because we cannot choose the level of a predictor variable (e.g., temperature) at which we measure a trait (e.g., growth; van de Pol and Wright 2009).”
A global synthesis reveals biodiversity-mediated benefits for crop production (2019, background): “By doing this the focus of our analysis is on within399 study effects rather than between-study effects (46, 47).”
Individual differences in searching behaviour and spatial foraging consistency in a central place marine predator (2014, methodology): “All environmental covariates were population mean-centred to enable us to compare slopes among the population (van de Pol and Wright 2009).”
Mate competition, testosterone and intersexual relationships in bonobos, Pan paniscus (2012, methodology): “To analyse the relationship between testosterone and aggression rates instead of rank, we incorporated mean aggression rates of the males (as this correlated with rank) into the model in a way that allowed us to distinguish within- versus betweensubject effects (van de Pol & Wright 2009).”
Multimodel inference in ecology and evolution: challenges and solutions (2011, background): “1 in van de Pol & Wright (2009)].”
A brief introduction to mixed effects modelling and multi-model inference in ecology (2018, background): “Schielzeth & Forstmeier (2009) and van de Pol & Wright (2009) are useful references for understanding the utility of random slope models.”
Individual heterogeneity and capture–recapture models: what, why and how? (2018, methodology): “…of age will have survived over the first five years in a row and then will have died at five years, leaving the standard mixed model approach generally used for assessing individual heterogeneity in most traits (van de Pol and Verhulst 2006, van de Pol and Wright 2009) not directly applicable.”
Measuring individual differences in reaction norms in field and experimental studies: a power analysis of random regression models (2011, background): “In such cases, parameter estimates from random regression analyses may be biased (Hadfield 2008) and additional steps (e.g. the ‘within- individual’ centring method of van de Pol & Wright (2009)) might be useful to ensure accurate partitioning of within-individual and between-individual processes.”
An ecologist's guide to the animal model. (2010, background): “Ecologists often use random effects to account for sources of non-independence among data points or to avoid pseudoreplication (Milner, Elston & Albon 1999; Bolker et al. 2009; van de Pol & Wright 2009).”
Animal personality: what are behavioural ecologists measuring? (2013, methodology): “…to interactionist psychology in behavioural ecology is the behavioural reaction norm (Nussey, Wilson & Brommer, 2007; Dingemanse et al., 2010b) in which individual’s responses to different situations or contexts are modelled using random regressions (Nussey et al., 2007; van de Pol & Wright, 2009).”
Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, background): “Considerable progress has nevertheless been made over the last few years due to attempts by ecologists to bridge this gap (e.g. Bolker et al. 2009; van de Pol & Wright 2009; Nakagawa & Schielzeth 2010).”