Volume 4: pp. 116-134

Applying Signal Detection Theory to Contingency Assessment

by Shepard Siegel,
McMaster University

Lorraine G. Allan,
McMaster University

Samuel D. Hannah,
McMaster University

Matthew J. C. Crump,
Vanderbilt University

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In most studies of contingency assessment participants judge the magnitude of the relationship between cues and outcomes. This judgment is a conflated measure of the participant’s sensitivity to the cue-outcome relationship, and his or her response bias. A psychophysical model (signal detection theory, SDT) can be used to dissect the independent contributions of sensitivity and bias to contingency judgment. Results of an experiment concerning cue-interaction (blocking) illustrate the utility of applying SDT to understanding contingency assessment. Most accounts of such assessment are associative (derived primarily from Pavlovian conditioning experiments with non-human animals). A psychophysical analysis of contingency assessment is not an alternative to such associative accounts. The SDT analysis supplements (not replaces) learning principles with psychophysical principles.

Keywords: associative learning, blocking, contingency assessment, cue interaction, psychophysics, signal detection theory

Siegel, S., Allan, L. G., Hannah, S. D., & Crump, M. J. (2009). Applying Signal Detection Theory to Contingency Assessment. Comparative Cognition & Behavior Reviews, 4, 116-134. Retrieved from https://comparative-cognition-and-behavior-reviews.org/ doi:10.3819/ccbr.2009.40012