Drift-Diffusion Models

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

How does the framework work
Often used to explain response times and accuracy in two-choice tasks.
Publication
Sellaro, R., Dolk, T., Colzato, L. S., Liepelt, R., & Hommel, B. (2015). Referential coding does not rely on location features: Evidence for a nonspatial joint Simon effect. Journal of Experimental Psychology: Human Perception and Performance, 41(1), 186–195. https://doi.org/10.1037/a0038548
DOI
10.1037/a0038548

Models that use this framework

EZ-diffusion model

Frameworks: Drift-Diffusion Models
Disciplines: Cognitive Psychology, Experimental Psychology, Mathematical psychology
Programming language: R
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.

Drift-Diffusion Model

Frameworks: Drift-Diffusion Models, Evidence Accumulation Models
Disciplines: Cognitive Psychology, Mathematical psychology
Programming language: Python
The drift-diffusion model (DDM) is a model of sequential sampling with diffusion signals, where the decision maker accumulates evidence until the process hits either an upper or lower stopping boundary and then stops and chooses the alternative that corresponds to that boundary.

Attentional Drift-Diffusion Model

Frameworks: Drift-Diffusion Models, Evidence Accumulation Models
Disciplines: Cognitive Psychology, Mathematical psychology
Programming language: Python
An extension of the Drift-diffusion model (Ratcliff, 1978) in which eye-tracking is used to track fixation on either one of the presented options and used as an additional parameter in the decision-making process.

Attention-Based Diffusion Model for Psychometric Analyses

Frameworks: Drift-Diffusion Models, Evidence Accumulation Models
Disciplines: Cognitive Psychology
Programming language: R
An extension on the Drift-diffusion model (Ratcliff, 1978) which addresses some of the more implausible assumption in more ecological contexts. Through the IRT-framework certain person- and item-parameters are added and allowed to vary to enable rigid assumptions of the original model to loosen up.