Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence

Abstract Many areas of psychology assume that performance on tasks of interest is stable through time. Here, using time-sensitive modeling of working memory task performance, we show not only was this assumption incorrect, but that certain components of the performance trajectory (e.g., final task p...

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Autores principales:	Aaron Cochrane, C. Shawn Green
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Special aspects of education LC8-6691 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/0f667a3d180248c1a9cbc72d01c3ac32
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spelling	oai:doaj.org-article:0f667a3d180248c1a9cbc72d01c3ac322021-12-05T12:16:30ZTrajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence10.1038/s41539-021-00111-w2056-7936https://doaj.org/article/0f667a3d180248c1a9cbc72d01c3ac322021-11-01T00:00:00Zhttps://doi.org/10.1038/s41539-021-00111-whttps://doaj.org/toc/2056-7936Abstract Many areas of psychology assume that performance on tasks of interest is stable through time. Here, using time-sensitive modeling of working memory task performance, we show not only was this assumption incorrect, but that certain components of the performance trajectory (e.g., final task performance; rate of change) were independently predictive of fluid intelligence. This fact has clear implications for theoretical frameworks linking working memory and fluid intelligence, and beyond.Aaron CochraneC. Shawn GreenNature PortfolioarticleSpecial aspects of educationLC8-6691Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENnpj Science of Learning, Vol 6, Iss 1, Pp 1-4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Special aspects of education LC8-6691 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Special aspects of education LC8-6691 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Aaron Cochrane C. Shawn Green Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
description	Abstract Many areas of psychology assume that performance on tasks of interest is stable through time. Here, using time-sensitive modeling of working memory task performance, we show not only was this assumption incorrect, but that certain components of the performance trajectory (e.g., final task performance; rate of change) were independently predictive of fluid intelligence. This fact has clear implications for theoretical frameworks linking working memory and fluid intelligence, and beyond.
format	article
author	Aaron Cochrane C. Shawn Green
author_facet	Aaron Cochrane C. Shawn Green
author_sort	Aaron Cochrane
title	Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
title_short	Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
title_full	Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
title_fullStr	Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
title_full_unstemmed	Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
title_sort	trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0f667a3d180248c1a9cbc72d01c3ac32
work_keys_str_mv	AT aaroncochrane trajectoriesofperformancechangeindicatemultipledissociablelinksbetweenworkingmemoryandfluidintelligence AT cshawngreen trajectoriesofperformancechangeindicatemultipledissociablelinksbetweenworkingmemoryandfluidintelligence
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Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence

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