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An integrated perspective on the relation between response speed and intelligence

机译:响应速度与智能之间关系的综合观点

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Research in the field of mental chronometry and individual differences has revealed several robust regularities (Jensen, 2006). These include right-skewed response time (RT) distributions, the worst performance rule, correlations with general intelligence (g) that are more pronounced for RT standard deviations (RTSD) than they are for RT means (RTm), an almost perfect linear relation between individual differences in RTSD and RTm, linear Brinley plots, and stronger correlations between g and inspection time (IT) than between g and RTm. Here we show how all these regularities are manifestations of a single underlying relationship, when viewed through the lens of Ratcliff's diffusion model (Ratcliff, 1978; Ratcliff, Schmiedek, & McKoon, 2008). The single underlying relationship is between individual differences in general intelligence and individual differences in " drift rate", which is just the speed of information processing in Ratcliff's model. We also test and confirm a strong prediction of the diffusion model, namely that the worst performance rule generalizes to phenomena outside of the field of intelligence. Our approach provides an integrative perspective on intelligence findings.
机译:在心理测年法和个体差异领域的研究揭示了几个稳健的规律性(Jensen,2006)。这些包括右偏响应时间(RT)分布,最差的性能规则,与通用智能的相关性(g),对于RT标准偏差(RTSD)比对于RT平均值(RTm)更为明显,这是一种几乎完美的线性关系RTSD和RTm的个体差异,线性Brinley图之间的关系,以及g和检查时间(IT)之间的相关性比g和RTm之间的相关性更强。从Ratcliff扩散模型的角度来看(Ratcliff,1978年; Ratcliff,Schmiedek和&McKoon,2008年),我们在这里展示了所有这些规律性是单个潜在关系的体现。潜在的单一关系是一般智力的个体差异和“漂移率”的个体差异之间的关系,而这仅仅是Ratcliff模型中信息处理的速度。我们还测试并确认了扩散模型的强大预测,即最差性能规则会泛化到智能领域以外的现象。我们的方法提供了关于情报发现的综合观点。

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