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

机译:工作记忆能力和流动能力:项目越困难越多越好

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摘要

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 behavior. 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 significant positive relationship between Raven's item difficulty and the extent of the item-wise correlation with WMC.
机译:流体智能与工作记忆之间的关系对于理解诸如工作记忆之类的容量受限结构如何与推理能力相互作用以确定智能行为至关重要。最近的证据表明,流体能力测试,Raven的渐进矩阵和工作记忆能力(WMC)之间的关系在Raven项目的难度级别上可能是不变的。我们表明,只有当Raven和WMC之间的整体相关性较低时,才能观察到这种不变性。对Raven性能的仿真显示,随着Raven与WMC之间的整体相关性增加,涉及WMC的逐项逐点关联不再是恒定的,而是随着项目难度的增加而大大增加。通过两项使用WMC进行综合测量的研究证实了仿真结果,与以前的研究相比,该方法在WMC和Raven之间具有更高的相关性。不出所料,总体相关性越高,Raven的项目难度与与WMC的逐项相关程度之间就存在显着的正相关。

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