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

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. Ho...

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Autores principales: Roger Ratcliff, Inhan Kang
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/38df7b598987437cac6a221db4d4bd39
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spelling oai:doaj.org-article:38df7b598987437cac6a221db4d4bd392021-12-02T16:31:51ZQualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model10.1038/s41598-021-94451-72045-2322https://doaj.org/article/38df7b598987437cac6a221db4d4bd392021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94451-7https://doaj.org/toc/2045-2322Abstract 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.Roger RatcliffInhan KangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Roger Ratcliff
Inhan Kang
Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
description 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.
format article
author Roger Ratcliff
Inhan Kang
author_facet Roger Ratcliff
Inhan Kang
author_sort Roger Ratcliff
title Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
title_short Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
title_full Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
title_fullStr Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
title_full_unstemmed Qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
title_sort qualitative speed-accuracy tradeoff effects can be explained by a diffusion/fast-guess mixture model
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/38df7b598987437cac6a221db4d4bd39
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AT inhankang qualitativespeedaccuracytradeoffeffectscanbeexplainedbyadiffusionfastguessmixturemodel
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