In human neuroimaging, the intra-class effect decomposition (ICED) framework indexes overall reliability, and enables researchers to identify and quantify multi-source contributions to measurement error with the goal of developing more reliable measures.
Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.
Research in molecular ecology and evolution is increasingly utilizing the model plant Arabidopsis thaliana, placing a spotlight on its natural history.
A simulation study is used to demonstrate how mistakes in identifying the experimental unit and the unit of analysis can lead to incorrect analyses and inappropriate inferences when reporting research studies.
Comparing maize to its wild ancestor teosinte advances our understanding of how it and other cereal crops evolved, and also identifies the genetic variation that can contribute to important agricultural traits.
A better understanding of the natural history of model organisms will increase their value as model systems and also keep them at the forefront of research.
