Evidence map›Paper›PMID 37528279›Full record

ReviewPsychonomic bulletin & review2024

A theory of visibility measures in the dissociation paradigm.

Thomas Schmidt, Melanie Biafora

Abstract readReview
In one paragraph

Review in Psychonomic bulletin & review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Thomas SchmidtFaculty of Social Sciences, Visual Attention and Awareness Laboratory, University of Kaiserslautern-Landau (RPTU), Erwin-Schrödinger-Str. Geb. 57, D-67663, Kaiserslautern, Germany. thomas.schmidt@rptu.de.
Melanie BiaforaFaculty of Social Sciences, Visual Attention and Awareness Laboratory, University of Kaiserslautern-Landau (RPTU), Erwin-Schrödinger-Str. Geb. 57, D-67663, Kaiserslautern, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on perception without awareness primarily relies on the dissociation paradigm, which compares a measure of awareness of a critical stimulus (direct measure) with a measure indicating that the stimulus has been processed at all (indirect measure). We argue that dissociations between direct and indirect measures can only be demonstrated with respect to the critical stimulus feature that generates the indirect effect, and the observer's awareness of that feature, the critical cue. We expand Kahneman's (Psychological Bulletin, 70, 404-425, 1968) concept of criterion content to comprise the set of all cues that an observer actually uses to perform the direct task. Different direct measures can then be compared by studying the overlap of their criterion contents and their containment of the critical cue. Because objective and subjective measures may integrate different sets of cues, one measure generally cannot replace the other without sacrificing important information. Using a simple mathematical formalization, we redefine and clarify the concepts of validity, exclusiveness, and exhaustiveness in the dissociation paradigm, show how dissociations among different awareness measures falsify both single-valued measures and monocausal theories of "consciousness," and formulate the demand that theories of visual awareness should be sufficiently specific to explain dissociations among different facets of awareness.

Indexed as

AwarenessVisual PerceptionConsciousnessCuesHumansDissociation paradigmDouble dissociationsPerception without awarenessPerceptual awareness scaleTheories of consciousness

Identifiers

PMID37528279
PMCPMC10977871

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.