Templeton Grant: "A valid statistical framework for establishing unconscious cognition"

248,768 US dollar grant for 2-year appointment of a PostDoc from the Templeton Foundation
We hypothesize that the extent of unconscious cognition that is claimed in the literature may be under- or overestimated because the standard statistical framework is not appropriate to establish claims of unconscious processing. In this project, we introduce a novel statistical framework that overcomes these problems and apply it to several paradigms that are the basis of canonical findings of unconscious cognition in the literature. The aim of this project is two-fold: (1) to introduce a combination of preregistration, Bayesian ordinal model selection and optional stopping as a framework to establish unconscious cognition in the field of consciousness science, (2) to establish whether several canonical findings in the field of unconscious cognition can be replicated when evaluated using this framework.