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Signal Detection With Criterion Noise: Applications To Recognition Memory, Aaron S. Benjamin, Michael Diaz, Wee, Serena
Signal Detection With Criterion Noise: Applications To Recognition Memory, Aaron S. Benjamin, Michael Diaz, Wee, Serena
Research Collection School of Social Sciences
A tacit but fundamental assumption of the theory of signal detection is that criterion placement is a noise-free process. This article challenges that assumption on theoretical and empirical grounds and presents the noisy decision theory of signal detection (ND-TSD). Generalized equations for the isosensitivity function and for measures of discrimination incorporating criterion variability are derived, and the model's relationship with extant models of decision making in discrimination tasks is examined, An experiment evaluating recognition memory for ensembles of word stimuli revealed that criterion noise is not trivial in magnitude and contributes substantially to variance in the slope of the isosensitivity …