Functional dissociations versus post-hoc selection: Moving beyond the Stockart et al. (2025) compromise

Fuente: arXiv
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Autores principales: Schmidt, Thomas, Lee, Xin Ying, Wolkersdorfer, Maximilian P.
Formato: Preprint
Publicado: 2024
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author Schmidt, Thomas
Lee, Xin Ying
Wolkersdorfer, Maximilian P.
author_facet Schmidt, Thomas
Lee, Xin Ying
Wolkersdorfer, Maximilian P.
contents Stockart et al. (2025) 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 may be 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.
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id arxiv_https___arxiv_org_abs_2411_15078
institution arXiv
publishDate 2024
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spellingShingle Functional dissociations versus post-hoc selection: Moving beyond the Stockart et al. (2025) compromise
Schmidt, Thomas
Lee, Xin Ying
Wolkersdorfer, Maximilian P.
Neurons and Cognition
Stockart et al. (2025) 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 may be 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.
title Functional dissociations versus post-hoc selection: Moving beyond the Stockart et al. (2025) compromise
topic Neurons and Cognition
url https://arxiv.org/abs/2411.15078