Regression to the mean does not explain away non-conscious processing: critical review of Shanks 2017

Autor: Asael Sklar, Ariel Goldstein, Ran Hassin
Rok vydání: 2020
Popis: In studies that use subliminal presentations participants may become aware of stimuli that are intended to remain subliminal. A common solution to this problem is to analyze the results of the group of participants for whom the stimuli remained subliminal. A recent article (Shanks, 2017) argued that this method leads to a regression to the mean artifact, which may account for many of the observed effects. However, conceptual and statistical characteristics of the original publication lead to overestimation of the influence of the artifact. Using simulations we demonstrate that this overestimation leads to the mistaken conclusion that regression to the mean accounts for non-conscious effects. We conclude by briefly outlining a new description of the influence of the artifact, and how it should be statistically addressed.
Databáze: OpenAIRE