Modeling individual differences in the go/no-go task with a diffusion model

Roger Ratcliff, Cynthia L. Huang-Pollock, Gail McKoon

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The go/no-go task is one in which there are two choices, but the subject responds only to one of them, waiting out a time-out for the other choice. The task has a long history in psychology and modern applications in the clinical/neuropsychological domain. In this article, we fit a diffusion model to both experimental and simulated data. The model is the same as the two-choice model and assumes that there are two decision boundaries and termination at one of them produces a response, and at the other, the subject waits out the trial. In prior modeling, both two-choice and go/no-go data were fit simultaneously, and only group data were fit. Here the model is fit to just go/no-go data for individual subjects. This allows analyses of individual differences, which is important for clinical applications. First, we fit the standard two-choice model to two-choice data and fit the go/no-go model to reaction times (RTs) from one of the choices and accuracy from the two-choice data. Parameter values were similar between the models and had high correlations. The go/no-go model was also fit to data from a go/no-go version of the task with the same subjects as the two-choice task. A simulation study with ranges of parameter values that are obtained in practice showed similar parameter recovery between the two-choice and go/no-go models. Results show that a diffusion model with an implicit (no response) boundary can be fit to data with almost the same accuracy as fitting the two-choice model to two-choice data.

Original languageEnglish (US)
Pages (from-to)42-62
Number of pages21
JournalDecision
Volume5
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Individual Differences
Diffusion Model
Individuality
Modeling
Reaction Time
Choice Models
History
Psychology
Model
Individual differences
Diffusion model
Termination
Recovery
Simulation Study
Choice models

All Science Journal Classification (ASJC) codes

  • Social Psychology
  • Neuropsychology and Physiological Psychology
  • Applied Psychology
  • Statistics, Probability and Uncertainty

Cite this

Ratcliff, Roger ; Huang-Pollock, Cynthia L. ; McKoon, Gail. / Modeling individual differences in the go/no-go task with a diffusion model. In: Decision. 2018 ; Vol. 5, No. 1. pp. 42-62.
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Modeling individual differences in the go/no-go task with a diffusion model. / Ratcliff, Roger; Huang-Pollock, Cynthia L.; McKoon, Gail.

In: Decision, Vol. 5, No. 1, 01.01.2018, p. 42-62.

Research output: Contribution to journalArticle

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