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| Model dyfuzji dryfu (DDM)× | Teoria detekcji sygnału× | |
|---|---|---|
| Dziedzina | Psychologia | Psychologia |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1978 | 1966 |
| Twórca≠ | Roger Ratcliff | David Green and John Swets |
| Typ≠ | Cognitive process model | Signal detection framework |
| Źródło pierwotne≠ | Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85(2), 59-108. DOI ↗ | Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley. link ↗ |
| Inne nazwy≠ | DDM, Brownian Motion Model, Sequential Sampling Model | SDT, Detection Theory |
| Pokrewne≠ | 1 | 0 |
| Podsumowanie≠ | 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. |
| ScholarGateZbiór danych ↗ |
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