An integrated perspective on the relation between response speed and intelligence

@article{Ravenzwaaij2011AnIP,
  title={An integrated perspective on the relation between response speed and intelligence},
  author={Don van Ravenzwaaij and Scott D. Brown and Eric-Jan Wagenmakers},
  journal={Cognition},
  year={2011},
  volume={119},
  pages={381-393}
}
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… Expand
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Title A test of the diffusion model explanation for the worst performance rule using preregistration and blinding Permalink
People with higher IQ scores also tend to perform better on elementary cognitive-perceptual tasks, such as deciding quickly whether an arrow points to the left or the right Jensen (2006). The worstExpand
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References

SHOWING 1-10 OF 77 REFERENCES
Intelligence and the “personal equation”
Abstract Over two centuries ago astronomers, studying star transit time, noted individual differences in reaction times. This observation came to be known as the “personal equation.” Despite earlyExpand
THE IMPORTANCE OF INTRAINDIVIDUAL VARIATION IN REACTION TIME
Abstract Individual differences in the trial-to-trial variability of reaction time (RT), indexed by the standard deviation of the individual's RTs over n trials (RTSD), generally has a largerExpand
On the linear relation between the mean and the standard deviation of a response time distribution.
TLDR
Results from a wide range of tasks from different experimental paradigms support a linear relation between RT mean and RT standard deviation and the law constrains RT models is identified and supports the use of the coefficient of variation. Expand
Analysis of group differences in processing speed: Brinley plots, Q-Q plots, and other conspiracies
TLDR
It is shown that the relative speed interpretation of Brinley plot slopes is strongly supported by converging evidence from a metaanalysis of visual search, mental rotation, and memory scanning in young and older adults. Expand
Meta-analysis of the relationship between intelligence and inspection time
Abstract This study replicated and extended Kranzler and Jensen's [Intelligence 13 (1989) 329] meta-analysis of the relationship between inspection time (IT) and intelligence (IQ). SeparateExpand
A diffusion model explanation of the worst performance rule for reaction time and IQ.
TLDR
This work shows that a pattern of correlations that IQ scores correlate better with longer reaction times than shorter reaction times can be predicted by the diffusion model, and explains both reaction times and accuracy. Expand
On the relation of mean reaction time and intraindividual reaction time variability.
TLDR
It is argued that statistical control approaches need to be replaced by theoretical models that simultaneously estimate central tendency and dispersion of latencies and accuracies and illustrate this claim by applying the diffusion model to the same data. Expand
A diffusion model decomposition of the practice effect
TLDR
The Ratcliff diffusion model is used, a successful model of two-choice RTs that decomposes the effect of practice into its constituent psychological processes, and it is concluded that the practice effect consists of multiple subComponents, and that it may be hazardous to abstract the interactive combination of these subcomponents in terms of a single output measure such as mean RT for correct responses. Expand
White matter volume predicts reaction time instability
TLDR
It is concluded that sdRT and mean RT may have different neuroanatomical correlates, and that SDRT is related to WM characteristics of the brain, a stronger predictor of performance intelligence than mean RT. Expand
Individual differences, aging, and IQ in two-choice tasks
TLDR
The effects of aging and IQ on performance were examined in three two-choice tasks: numerosity discrimination, recognition memory, and lexical decision, finding that age and IQ have larger effects on slower responses than faster responses. Expand
...
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2
3
4
5
...