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.
When making decisions about funding and jobs the scientific community should recognise that most of the tools used to evaluate scientific excellence are biased in favour of established disciplines and against interdisciplinary research.
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.
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.
A systems-level analysis of the biomedical workforce in the US shows that current strategies to enhance faculty diversity are unlikely to have a significant impact, and that there is a need to increase the number of PhDs from underrepresented minority backgrounds who move on to postdoctoral positions.