Evidence map›Paper›PMID 37566217›Full record

ArticlePsychonomic bulletin & review2024

The push-pull of serial dependence effects: Attraction to the prior response and repulsion from the prior stimulus.

Patrick Sadil, Rosemary A Cowell, David E Huber

Abstract read
In one paragraph

Article 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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  19. Integration of history information Drives Serial Dependence and Stabilizes Working Memory Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

3 authors.

Patrick SadilDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. psadil@umass.edu.ORCID http://orcid.org/0000-0003-4141-1343
Rosemary A CowellInstitute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA.
David E HuberInstitute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA.

Funding

Using fMRI to Measure the Neural-level Signals Underlying Population-level ResponsesRF1MH114277 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI COWELL, ROSEMARY ALICE, HUBER, DAVID ERNEST · 2017 to 2017
$2.4M
NIMH NIH HHS 1RF1MH114277NIMH NIH HHS RF1 MH114277
6 · The paper itself

Abstract

In the "serial dependence" effect, responses to visual stimuli appear biased toward the last trial's stimulus. However, several kinds of serial dependence exist, with some reflecting prior stimuli and others reflecting prior responses. One-factor analyses consider the prior stimulus alone or the prior response alone and can consider both variables only via separate analyses. We demonstrate that one-factor analyses are potentially misleading and can reach conclusions that are opposite from the truth if both dependencies exist. To address this limitation, we developed two-factor analyses (model comparison with hierarchical Bayesian modeling and an empirical "quadrant analysis"), which consider trial-by-trial combinations of prior response and prior stimulus. Two-factor analyses can tease apart the two dependencies if applied to a sufficiently large dataset. We applied these analyses to a new study and to four previously published studies. When applying a model that included the possibility of both dependencies, there was no evidence of attraction to the prior stimulus in any dataset, but there was evidence of attraction to the prior response in all datasets. Two of the datasets contained sufficient constraint to determine that both dependencies were needed to explain the results. For these datasets, the dependency on the prior stimulus was repulsive rather than attractive. Our results are consistent with the claim that both dependencies exist in most serial dependence studies (the two-dependence model was not ruled out for any dataset) and, furthermore, that the two dependencies work against each other.

Indexed as

Visual PerceptionBayes TheoremFactor Analysis, StatisticalHumansPrimingSequence effectsSerial dependenceTilt aftereffect

Identifiers

PMID37566217
PMCPMC11488665

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.