ArticlePsychological research2019
Experimental validation of the diffusion model based on a slow response time paradigm.
Article in Psychological research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Age differences in diffusion model parameters: a meta-analysis.Psychological research · 2021Pooled it
- Effects of mindful breathing meditation on stereotype expression in two randomized controlled double-blinded trials.PloS one · 2026Trial
- Longitudinal analysis of decision-making deficits in binge-eating disorders using drift diffusion modeling.Appetite · 2026Article
- Childhood Material Hardship Linked to Adolescent Neurocognition: A Computational Modeling Approach.Developmental science · 2026Article
- dynConfiR: An R package for sequential sampling models of decision confidence.Behavior research methods · 2026Article
- Neural correlates and reinstatement of recent and remote memory in children and young adults.eLife · 2025Article
- Leveraging bifactor modeling to test prospective direct and indirect effects of adolescent alcohol use and externalizing symptoms on the development of task-general executive functioning.Development and psychopathology · 2025Article
- Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application.Computational brain & behavior · 2025Article
- Information accumulation on the item versus source test of source monitoring: Insights from diffusion modeling.Memory & cognition · 2025Article
- Characterizing Human Perception of Speed Differences in Walking: Insights From a Drift Diffusion Model.eNeuro · 2025Article
- Deliberation during online bargaining reveals strategic information.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Prosopagnosia and the role of face-sensitive areas in race perception.Scientific reports · 2025Article
- Lateral prefrontal theta oscillations causally drive a computational mechanism underlying conflict expectation and adaptation.Nature communications · 2024Article
- Confidence Is Influenced by Evidence Accumulation Time in Dynamical Decision Models.Computational brain & behavior · 2024Article
- The Seven-parameter Diffusion Model: an Implementation in Stan for Bayesian Analyses.Behavior research methods · 2024Article
- What can evidence accumulation modelling tell us about human social cognition?Quarterly journal of experimental psychology (2006) · 2024Article
- An adaptive rejection sampler for sampling from the Wiener diffusion model.Behavior research methods · 2023Article
- Performance-contingent reward increases the use of congruent distracting information.Attention, perception & psychophysics · 2023Article
- Article
- Motor speed does not impact the drift rate: a computational HDDM approach to differentiate cognitive and motor speed.Cognitive research: principles and implications · 2022Article
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Authors and funding
2 authors.
Funding
Abstract
The diffusion model (Ratcliff, Psychol Rev 85(2):59-108, 1978) is a stochastic model that is applied to response time (RT) data from binary decision tasks. The model is often used to disentangle different cognitive processes. The validity of the diffusion model parameters has, however, rarely been examined. Only few experimental paradigms have been analyzed with those being restricted to fast response time paradigms. This is attributable to a recommendation stated repeatedly in the diffusion model literature to restrict applications to fast RT paradigms (more specifically, to tasks with mean RTs below 1.5 s per trial). We conducted experimental validation studies in which we challenged the necessity of this restriction. We used a binary task that features RTs of several seconds per trial and experimentally examined the convergent and discriminant validity of the four main diffusion model parameters. More precisely, in three experiments, we selectively manipulated these parameters, using a difficulty manipulation (drift rate), speed-accuracy instructions (threshold separation), a more complex motoric task (non-decision time), and an asymmetric payoff matrix (starting point). The results were similar to the findings from experimental validation studies based on fast RT paradigms. Thus, our experiments support the validity of the parameters of the diffusion model and speak in favor of an extension of the model to paradigms based on slower RTs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.