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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-11-01
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| Series: | npj Science of Learning |
| Online Access: | https://doi.org/10.1038/s41539-021-00111-w |
| _version_ | 1818401503504760832 |
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| author | Aaron Cochrane C. Shawn Green |
| author_facet | Aaron Cochrane C. Shawn Green |
| author_sort | Aaron Cochrane |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T07:53:30Z |
| format | Article |
| id | doaj.art-0f667a3d180248c1a9cbc72d01c3ac32 |
| institution | Directory Open Access Journal |
| issn | 2056-7936 |
| language | English |
| last_indexed | 2024-12-14T07:53:30Z |
| publishDate | 2021-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Science of Learning |
| spelling | doaj.art-0f667a3d180248c1a9cbc72d01c3ac322022-12-21T23:10:36ZengNature Portfolionpj Science of Learning2056-79362021-11-01611410.1038/s41539-021-00111-wTrajectories of performance change indicate multiple dissociable links between working memory and fluid intelligenceAaron Cochrane0C. Shawn Green1Faculty of Psychology and Education Sciences, University of GenevaDepartment of Psychology, University of Wisconsin—MadisonAbstract 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.https://doi.org/10.1038/s41539-021-00111-w |
| spellingShingle | Aaron Cochrane C. Shawn Green Trajectories of performance change indicate multiple dissociable links between working memory and fluid intelligence npj Science of Learning |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41539-021-00111-w |
| work_keys_str_mv | AT aaroncochrane trajectoriesofperformancechangeindicatemultipledissociablelinksbetweenworkingmemoryandfluidintelligence AT cshawngreen trajectoriesofperformancechangeindicatemultipledissociablelinksbetweenworkingmemoryandfluidintelligence |