Quantitative Biology > Neurons and Cognition
[Submitted on 22 Nov 2024 (v1), last revised 25 Nov 2024 (this version, v2)]
Title:Functional dissociations versus post-hoc selection: Moving beyond the Stockart et al. (2024) compromise
View PDFAbstract:Stockart et al. (2024) recommend guidelines for best practices in the field of unconscious cognition. However, they condone the repeatedly criticized technique of excluding trials with high visibility ratings or of participants with high sensitivity for the critical stimulus. Based on standard signal detection theory for discrimination judgments, we show that post-hoc trial selection only isolates points of neutral response bias but remains consistent with uncomfortably high levels of sensitivity. We argue that post-hoc selection constitutes a sampling fallacy that capitalizes on chance, generates regression artifacts, and wrongly ascribes unconscious processing to stimulus conditions that are far from indiscriminable. As an alternative, we advocate the study of functional dissociations, where direct (D) and indirect (I) measures are conceptualized as spanning up a two-dimensional D-I-space and where single, sensitivity, and double dissociations appear as distinct curve patterns. While Stockart et al.'s recommendations cover only a single line of that space where D is close to zero, functional dissociations can utilize the entire space, circumventing requirements like null visibility and exhaustive reliability, and allowing for the planful measurement of theoretically meaningful functional relationships between experimentally controlled variables.
Submission history
From: Thomas Schmidt [view email][v1] Fri, 22 Nov 2024 17:12:02 UTC (751 KB)
[v2] Mon, 25 Nov 2024 10:06:46 UTC (749 KB)
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