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T er, the non-decision reaction time component, consists of the sum of encoding time T e (first panel) and response output time T r (third panel), such that T er = T e + T r. Although a unified theory of reaction time and intelligence has yet to achieve consensus among psychologists, diffusion modeling provides one promising theoretical model.
Serial reaction time (SRT) is a commonly used parameter in the measurement of unconscious learning processes. [1] This parameter is operationalised through a SRT task, in which participants are asked to repeatedly respond to a fixed set of stimuli in which each cue signals that a particular response (i.e., button press) needs to be made.
Given n equally probable choices, the average reaction time T required to choose among the choices is approximately: T = b ⋅ log 2 ( n + 1 ) {\displaystyle T=b\cdot \log _{2}(n+1)} where b is a constant that can be determined empirically by fitting a line to measured data.
English: Visual representation of the hypothesized stages of a reaction time task and each stage's association with diffusion model parameters. T er, the non-decision reaction time component, consists of the sum of encoding time T e (first panel) and response output time T r (third panel), such that T er = T e + T r.
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Simple reaction time correlates with general cognitive ability, [4] and there is some evidence that the slope of responding on the Jensen box does as well. [2] Ian Deary and colleagues, in a population-based cohort study of 900 individuals, demonstrated correlations between IQ and simple choice RTs between –0.3 and –0.5. [ 4 ]
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