Comparer des méthodes

	Modèle de Dérive-Diffusion	Théorie de la Détection du Signal
Domaine	Psychologie	Psychologie
Famille	Hypothesis test	Hypothesis test
Année d'origine	1978	1966
Auteur d'origine	Roger Ratcliff	David Green and John Swets
Type	Cognitive process model	Signal detection framework
Source fondatrice	Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85(2), 59-108.	Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley.
Alias	DDM, Brownian Motion Model, Sequential Sampling Model	SDT, Detection Theory
Apparentées	1	0
Résumé	The Drift Diffusion Model (DDM) is a mathematical framework for understanding rapid binary decision-making by modeling the accumulation of evidence over time as a random walk with drift. Developed by Roger Ratcliff in the 1970s, it predicts both choice probabilities and response time distributions, providing insight into the cognitive processes underlying decisions in perceptual discrimination, recognition memory, and choice tasks.	Signal Detection Theory (SDT) is a framework for analyzing how observers detect signals embedded in noise, accounting for both sensory capacity and decision-making bias. Developed by Green and Swets in the 1960s, it provides a principled method for measuring sensitivity and response criteria separately, making it foundational in psychophysics, perception research, and diagnostic decision-making.