EZ-diffusion model

A model for investigating repsonse times and the speed-accuracy tradeoff (SAT) by taking mean response time, response time variance, and accuracy of repsonse and transforming them into information quality, response conservativeness, and nondecision time. Thus, it quantifies performance on an SAT task in a manner that scores can be compared between participants.

Modeling frameworks
Drift-Diffusion Models

A cognitive model that describes decision making as a process of evidence accumulation.

More details
How does the model work

The EZ-diffusion model for two-choice response time tasks takes mean response time, the variance of response time, and response accuracy as inputs. The model transforms these data via three simple equations to produce unique values for the quality of information, response conservativeness, and nondecision time. This transformation of observed data in terms of unobserved variables addresses the speed–accuracy trade-off and allows an unambiguous quantification of performance differences in two-choice response time tasks. The EZ- diffusion model can be applied to data-sparse situations to facilitate individual subject analysis.

Model variables
Accuracy

A binary variable indicating correctness, summarized in a mean proportion correct

Label: Accuracy of response
Description: The correctness of a participant's responses.
Reaction Time

Amount of time elapsed from onset stimulus to reaction

Label: Response time
Description: The time taken by a participant to respond to a stimulus.
Publication
Wagenmakers, E.-J., Van Der Maas, H. L. J., & Grasman, R. P. P. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review, 14(1), 3–22. https://doi.org/10.3758/bf03194023
Psychology disciplines
Cognitive Psychology, Experimental Psychology, Mathematical psychology
DOI
Programming language

R

Software packages
EZ2
Programming language: R