Developing multiple hypotheses in behavioral ecology

By N. Dochtermann, S. Jenkins. Behavioral Ecology and Sociobiology, 2010

109 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b3bcbbe5b6a7f477b4277b3273f999721dba30ef

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In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

A farewell to the sum of Akaike weights: The benefits of alternative metrics for variable importance estimations in model selection (2017, background): “…reporting the effect of a predictor variable on a biological phe - nomenon do not guarantee that this variable influences the response in the user’s studied species or under the particular settings of his or her current experiment or field study (Dochtermann & Jenkins, 2011; Stephens et al., 2005).”
Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective (2010, background): “For strategies of obtaining a candidate set, see, e.g. Burnham et al. (2010) and Dochtermann and Jenkins (2010), and for more general discussions of this topic, see, e.g. Hegyi and Garamszegi (2010) or Symonds and Moussalli (2010).”
Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, background): “…to encourage working towards the most significant description of the data set, because step-wise approaches are statistically problematic (e.g. Whittingham et al. 2006; Forstmeier & Schielzeth 2011; Simmons, Nelson & Simonsohn 2011), and inhibit general inferences (Dochtermann & Jenkins 2011).”
Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations (2014, methodology): “Adding interactions between predictor variables increased the number of models where variables appeared, therefore artificially inflating their SW values (Dochtermann & Jenkins 2011, Grueber et al. 2011).”
Using information theory as a substitute for stepwise regression in ecology and behavior (2010, unknown): “Some other papers in the issue deal with specific questions raised by the IT technique, including the compilation of the set of models to be analyzed ( Dochtermann and Jenkins 2010 ), the combination of information from different models (Richards et al. 2010), and dealing with collinearity and missi”
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion (2010, background): “Further, how one defines a reduced candidate set of models is also a complex matter (see Dochtermann and Jenkins 2010; Burnham et al. 2010).”