Working memory capacity and fluid abilities: The more difficult the item, the more more is better

The relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited structures such as working memory interact with inference abilities to determine intelligent behaviour. Recent evidence has suggested that the relationship between a flui...

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Main Authors: Daniel R Little, Stephan eLewandowsky, Stewart eCraig
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00239/full
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spelling doaj-e919c684b93f4f82ad050319d66f96512020-11-24T22:51:54ZengFrontiers Media S.A.Frontiers in Psychology1664-10782014-03-01510.3389/fpsyg.2014.0023963813Working memory capacity and fluid abilities: The more difficult the item, the more more is betterDaniel R Little0Stephan eLewandowsky1Stephan eLewandowsky2Stewart eCraig3The University of MelbourneUnviersity of BristolThe University of Western AustraliaThe University of Western AustraliaThe relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited structures such as working memory interact with inference abilities to determine intelligent behaviour. Recent evidence has suggested that the relationship between a fluid abilities test, Raven's Progressive Matrices, and working memory capacity (WMC) may be invariant across difficulty levels of the Raven's items. We show that this invariance can only be observed if the overall correlation between Raven's and WMC is low. Simulations of Raven's performance revealed that as the overall correlation between Raven's and WMC increases, the item-wise point bi-serial correlations involving WMC are no longer constant but increase considerably with item difficulty. The simulation results were confirmed by two studies that used a composite measure of WMC, which yielded a higher correlation between WMC and Raven's than reported in previous studies. As expected, with the higher overall correlation, there was a signifi□cant positive relationship between Raven's item difficulty and the extent of the item-wise correlation with WMC.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00239/fullsimulationinferenceworking memory capacityreasoning skillsRaven's Progressive Matrices
collection DOAJ
language English
format Article
sources DOAJ
author Daniel R Little
Stephan eLewandowsky
Stephan eLewandowsky
Stewart eCraig
spellingShingle Daniel R Little
Stephan eLewandowsky
Stephan eLewandowsky
Stewart eCraig
Working memory capacity and fluid abilities: The more difficult the item, the more more is better
Frontiers in Psychology
simulation
inference
working memory capacity
reasoning skills
Raven's Progressive Matrices
author_facet Daniel R Little
Stephan eLewandowsky
Stephan eLewandowsky
Stewart eCraig
author_sort Daniel R Little
title Working memory capacity and fluid abilities: The more difficult the item, the more more is better
title_short Working memory capacity and fluid abilities: The more difficult the item, the more more is better
title_full Working memory capacity and fluid abilities: The more difficult the item, the more more is better
title_fullStr Working memory capacity and fluid abilities: The more difficult the item, the more more is better
title_full_unstemmed Working memory capacity and fluid abilities: The more difficult the item, the more more is better
title_sort working memory capacity and fluid abilities: the more difficult the item, the more more is better
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2014-03-01
description The relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited structures such as working memory interact with inference abilities to determine intelligent behaviour. Recent evidence has suggested that the relationship between a fluid abilities test, Raven's Progressive Matrices, and working memory capacity (WMC) may be invariant across difficulty levels of the Raven's items. We show that this invariance can only be observed if the overall correlation between Raven's and WMC is low. Simulations of Raven's performance revealed that as the overall correlation between Raven's and WMC increases, the item-wise point bi-serial correlations involving WMC are no longer constant but increase considerably with item difficulty. The simulation results were confirmed by two studies that used a composite measure of WMC, which yielded a higher correlation between WMC and Raven's than reported in previous studies. As expected, with the higher overall correlation, there was a signifi□cant positive relationship between Raven's item difficulty and the extent of the item-wise correlation with WMC.
topic simulation
inference
working memory capacity
reasoning skills
Raven's Progressive Matrices
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00239/full
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