Beyond discrete-choice options

AHH Rasanan, NJ Evans, L Fontanesi… - Trends in Cognitive …, 2024 - cell.com
While decision theories have evolved over the past five decades, their focus has largely
been on choices among a limited number of discrete options, even though many real-world …

Sequential sampling models without random between-trial variability: The racing diffusion model of speeded decision making

G Tillman, T Van Zandt, GD Logan - Psychonomic Bulletin & Review, 2020 - Springer
Most current sequential sampling models have random between-trial variability in their
parameters. These sources of variability make the models more complex in order to fit …

A flexible framework for simulating and fitting generalized drift-diffusion models

M Shinn, NH Lam, JD Murray - ELife, 2020 - elifesciences.org
The drift-diffusion model (DDM) is an important decision-making model in cognitive
neuroscience. However, innovations in model form have been limited by methodological …

Social norms shape visual appearance: Taking a closer look at the link between social norm learning and perceptual decision-making

M Germar, VH Duderstadt, A Mojzisch - Cognition, 2023 - Elsevier
One of the most fundamental questions in social psychology is whether norms can change
individuals' minds by shaping the visual appearance of stimuli. This question was first raised …

Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence.

V Lerche, M von Krause, A Voss… - Journal of …, 2020 - psycnet.apa.org
Several previous studies reported relationships between speed of information processing as
measured with the drift parameter of the diffusion model (Ratcliff, 1978) and general …

Evidence accumulation models: Current limitations and future directions

NJ Evans, EJ Wagenmakers - 2019 - osf.io
Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …

Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations

U Boehm, J Annis, MJ Frank, GE Hawkins… - Journal of Mathematical …, 2018 - Elsevier
For many years the Diffusion Decision Model (DDM) has successfully accounted for
behavioral data from a wide range of domains. Important contributors to the DDM's success …

Age differences in diffusion model parameters: A meta-analysis

M Theisen, V Lerche, M von Krause, A Voss - Psychological Research, 2021 - Springer
Older adults typically show slower response times in basic cognitive tasks than younger
adults. A diffusion model analysis allows the clarification of why older adults react more …

Retest reliability of the parameters of the Ratcliff diffusion model

V Lerche, A Voss - Psychological research, 2017 - Springer
In the recent years, there is a growing interest to use the Ratcliff Diffusion Model (1978) for
diagnostic purposes as the parameters of the model capture interindividual differences in …

Malevolent intentions and secret coordination. Dissecting cognitive processes in conspiracy beliefs via diffusion modeling

M Frenken, R Imhoff - Journal of Experimental Social Psychology, 2022 - Elsevier
There has been an increasing scholarly interest in the psychology behind conspiracy
theories, the belief that events in the world are brought about by the secret coordination of …