Evidence map›Paper›PMID 37528278›Full record

ReviewPsychonomic bulletin & review2024

Progressing, not regressing: A possible solution to the problem of regression to the mean in unconscious processing studies.

Itay Yaron, Yoav Zeevi, Uri Korisky, William Marshall, Liad Mudrik

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Itay YaronThe Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 39040, Israel. itayyaron@mail.tau.ac.il.ORCID http://orcid.org/0000-0001-6299-765X
Yoav ZeeviThe Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 39040, Israel.
Uri KoriskySchool of Psychological Sciences, Tel Aviv University, Tel Aviv, 39040, Israel.
William MarshallDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, 53719, USA.
Liad MudrikThe Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, 39040, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How convincing is current evidence for unconscious processing? Recently, a major criticism suggested that some, if not much, of this evidence might be explained by a mere statistical phenomenon: regression to the mean (RttM). Excluding participants based on an awareness assessment is a common practice in studies of unconscious processing, and this post hoc data selection might lead to false effects that are driven by RttM for aware participants wrongfully classified as unaware. Here, we examined this criticism using both simulations and data from 12 studies probing unconscious processing (35 effects overall). In line with the original criticism, we confirmed that the reliability of awareness measures in the field is concerningly low. Yet, using simulations, we showed that reliability measures might be unsuitable for estimating error in awareness measures. Furthermore, we examined other solutions for assessing whether an effect is genuine or reflects RttM; all suffered from substantial limitations, such as a lack of specificity to unconscious processing, lack of power, or unjustified assumptions. Accordingly, we suggest a new nonparametric solution, which enjoys high specificity and relatively high power. Together, this work emphasizes the need to account for measurement error in awareness measures and evaluate its consequences for unconscious processing effects. It further suggests a way to meet the important challenge posed by RttM, in an attempt to establish a reliable and robust corpus of knowledge in studying unconscious processing.

Indexed as

AwarenessUnconscious, PsychologyConsciousnessHumansKnowledgeReproducibility of ResultsConsciousnessPowerRegression to the meanReliabilityUnconscious processing

Identifiers

PMID37528278
PMCPMC10867080

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.