Akaike's information criterion (AIC) is increasingly being used in analyses in the field of
ecology. This measure allows one to compare and rank multiple competing models and to …

Null hypothesis significance testing (NHST) is the dominant statistical approach in biology,
although it has many, frequently unappreciated, problems. Most importantly, NHST does not …

Progress in science relies in part on generating hypotheses with existing observations and
testing hypotheses with new observations. This distinction between postdiction and …

Multiple comparisons tests (MCTs) include the statistical tests used to compare groups
(treatments) often following a significant effect reported in one of many types of linear …

Linear regression models are an important statistical tool in evolutionary and ecological
studies. Unfortunately, these models often yield some uninterpretable estimates and …

Fitting generalised linear models (GLMs) with more than one predictor has become the
standard method of analysis in evolutionary and behavioural research. Often, GLMs are …

Allee effects are (broadly) defined as a decline in individual fitness at low population size or
density. They can result in critical population thresholds below which populations crash to …

Behavioural ecologists are increasingly using social network analysis to describe the social
organisation of animal populations and to test hypotheses. However, the statistical analysis …

Behavioural ecologists often study complex systems in which multiple hypotheses could be
proposed to explain observed phenomena. For some systems, simple controlled …

Statistical inference based on stepwise model selection is applied regularly in ecological,
evolutionary, and behavioral research. In addition to fundamental shortcomings with regard …