Evidence map›Paper›PMID 34312438›Full record

ArticleScientific reports2021

Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model.

Roger Ratcliff, Inhan Kang

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Why moral judgements change across variations of trolley-like problems.British journal of psychology (London, England : 1953) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Bayesian confidence in optimal decisions.Psychological review · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Roger RatcliffThe Ohio State University, 1835 Neil Avenue, Columbus, OH, 43210, USA. ratcliff.22@osu.edu.ORCID 0000-0001-9657-0814
Inhan KangThe Ohio State University, 1835 Neil Avenue, Columbus, OH, 43210, USA.ORCID 0000-0003-4601-9332

Funding

Toward using comprehensive decision-making models in neuropsychological testingR01AG041176 · NIA · OHIO STATE UNIVERSITY · PI MCKOON, GAIL A, RATCLIFF, ROGER · 2012 to 2021
$3.8M
Decision Making on Continuous Scales in Aging and Alzheimers DiseaseR01AG057841 · NIA · OHIO STATE UNIVERSITY · PI MCKOON, GAIL A, RATCLIFF, ROGER · 2020 to 2024
$2.5M
NIA NIH HHS R01 AG041176NIA NIH HHS R01 AG057841
6 · The paper itself

Abstract

Rafiei and Rahnev (2021) presented an analysis of an experiment in which they manipulated speed-accuracy stress and stimulus contrast in an orientation discrimination task. They argued that the standard diffusion model could not account for the patterns of data their experiment produced. However, their experiment encouraged and produced fast guesses in the higher speed-stress conditions. These fast guesses are responses with chance accuracy and response times (RTs) less than 300 ms. We developed a simple mixture model in which fast guesses were represented by a simple normal distribution with fixed mean and standard deviation and other responses by the standard diffusion process. The model fit the whole pattern of accuracy and RTs as a function of speed/accuracy stress and stimulus contrast, including the sometimes bimodal shapes of RT distributions. In the model, speed-accuracy stress affected some model parameters while stimulus contrast affected a different one showing selective influence. Rafiei and Rahnev's failure to fit the diffusion model was the result of driving subjects to fast guess in their experiment.

Indexed as

Models, PsychologicalDecision MakingHumansPhotic StimulationProbabilityPsychomotor PerformanceReaction TimeVisual Perception

Identifiers

PMID34312438
PMCPMC8313539

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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.