An integrated perspective on the relation between response speed and intelligence

  title={An integrated perspective on the relation between response speed and intelligence},
  author={Don van Ravenzwaaij and Scott D. Brown and Eric-Jan Wagenmakers},

Mental chronometry and individual differences: Modeling reliabilities and correlations of reaction time means and effect sizes

It is concluded that observed RT-based correlations depend on many parameters of the underlying processes contributing to RT and often fail to support the inferences drawn from them and that their proper interpretation is far more complex than is generally acknowledged.

Is General Intelligence Little More Than the Speed of Higher-Order Processing?

The results do not support the notion that individuals with higher levels of general intelligence show advantages in some brain-wide property, and suggest that more intelligent individuals benefit from a more efficient transmission of information from frontal attention and working memory processes to temporal-parietal processes of memory storage.

Modeling Mental Speed: Decomposing Response Time Distributions in Elementary Cognitive Tasks and Correlations with Working Memory Capacity and Fluid Intelligence

Previous research has shown an inverse relation between response times in elementary cognitive tasks and intelligence, but findings are inconsistent as to which is the most informative score. We

A test of the diffusion model explanation for the worst performance rule using preregistration and blinding

This work tests four qualitative predictions concerning the worst performance rule and its diffusion model explanation in terms of drift rate and suggests that the WPR may be less robust and less ubiquitous than is commonly believed.

Drifting from slow to "D'oh!": working memory capacity and mind wandering predict extreme reaction times and executive control errors.

It is found that WMC predicted action and thought control in only some conditions, that attentional lapses contributed to τ, performance accuracy, and WMC's association with them and that mind-wandering experiences were not predicted by trial-to-trial RT changes, and so they cannot always be inferred from objective performance measures.

Two Speed Factors of Visual Recognition Independently Correlated with Fluid Intelligence

The results support the new possibility that intelligence could be explained by two types of mental speed, one related to object recognition (IT) and another for manipulation of mental images (MR), as well as examining a possibility that neural processing speed in the dorsal pathway also represented a factor of intelligence.

Validity of the Worst Performance Rule as a Function of Task Complexity and Psychometric g: On the Crucial Role of g Saturation

Within the mental speed approach to intelligence, the worst performance rule (WPR) states that the slower trials of a reaction time (RT) task reveal more about intelligence than do faster trials.



Intelligence and the “personal equation”


On the linear relation between the mean and the standard deviation of a response time distribution.

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.

Analysis of group differences in processing speed: Brinley plots, Q-Q plots, and other conspiracies

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.

Meta-analysis of the relationship between intelligence and inspection time

On the relation of mean reaction time and intraindividual reaction time variability.

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.

A diffusion model decomposition of the practice effect

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.

White matter volume predicts reaction time instability

Individual differences, aging, and IQ in two-choice tasks