  Hypothesis testing is a central statistical method in psychological research
and the cognitive sciences. While the problems of null hypothesis significance
testing (NHST) have been debated widely, few attractive alternatives exist. In
this paper, we provide a tutorial on the Full Bayesian Significance Test (FBST)
and the e-value, which is a fully Bayesian alternative to traditional
significance tests which rely on p-values. The FBST is an advanced
methodological procedure which can be applied to several areas. In this
tutorial, we showcase with two examples of widely used statistical methods in
psychological research how the FBST can be used in practice, provide
researchers with explicit guidelines on how to conduct it and make available
R-code to reproduce all results. The FBST is an innovative method which has
clearly demonstrated to perform better than frequentist significance testing.
However, to our best knowledge, it has not been used so far in the
psychological sciences and should be of wide interest to a broad range of
researchers in psychology and the cognitive sciences.
