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Distinguishing within- from between-individual effects: How to use the within-individual centring method for
Rémi Fay1,2, Julien Martin3, Floriane Plard1,4
1Swiss Ornithological Institute, Sempach, Switzerland.
The Journal of Animal Ecology
|October 15, 2021
Summary
Choosing the correct equation is crucial when analyzing quadratic patterns within individuals using the within-individual centering method. Mismatched equations can lead to biased results in ecological and evolutionary studies.
Area of Science:
- Ecology
- Evolutionary Biology
- Quantitative Biology
Background:
- Population-level patterns can obscure individual-level processes.
- Distinguishing between within- and among-individual processes is vital for ecological and evolutionary dynamics.
- The within-individual centering method is established for analyzing linear and quadratic patterns.
Purpose of the Study:
- To highlight two alternative equations for investigating quadratic within-individual patterns.
- To explain the distinct assumptions and constraints of these equations.
- To guide researchers in selecting the appropriate equation for their specific biological context.
Main Methods:
- Comparative analysis of two equations for quadratic within-individual patterns.
- Literature review on the application of these equations in ecological studies.
- Simulation studies to assess the impact of equation choice on inference.
Main Results:
- One equation has been predominantly used, but may not always be appropriate.
- The two equations differ in their assumptions regarding absolute versus relative individual processes.
- Incorrect equation selection can lead to biased estimates and flawed model selection.
Conclusions:
- The choice of equation for quadratic within-individual patterns depends on the underlying biological process.
- Careful selection of the analysis equation is essential to avoid flawed inference.
- Guidelines are provided to aid researchers in choosing the appropriate equation for nonlinear relationship analysis.
Keywords:
age patternindividual trajectorylinear mixed modelsselective appearanceselective disappearancesenescenceMore Related Videos
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