Signal Detection Theory
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley. · URL
- Macmillan, N. A., & Creelman, C. D. (2005). Detection theory: A user's guide. Lawrence Erlbaum Associates. · URL
- Swets, J. A., Dawes, R. M., & Monahan, J. (1996). Psychological science can improve diagnostic decisions. Psychological Science in the Public Interest, 11(1), 1-26. · URL
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