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ERIC Number: EJ979252
Record Type: Journal
Publication Date: 2012-Oct
Pages: 18
Abstractor: As Provided
ISSN: ISSN-0749-596X
Beyond ROC Curvature: Strength Effects and Response Time Data Support Continuous-Evidence Models of Recognition Memory
Dube, Chad; Starns, Jeffrey J.; Rotello, Caren M.; Ratcliff, Roger
Journal of Memory and Language, v67 n3 p389-406 Oct 2012
A classic question in the recognition memory literature is whether retrieval is best described as a continuous-evidence process consistent with signal detection theory (SDT), or a threshold process consistent with many multinomial processing tree (MPT) models. Because receiver operating characteristics (ROCs) based on confidence ratings are typically curved as predicted by SDT, this model has been preferred in many studies of recognition memory (Wixted, 2007). Recently, Broder and Schutz (2009) argued that curvature in ratings ROCs may be produced by variability in scale usage; therefore, ratings ROCs are not diagnostic in deciding between the two approaches. From this standpoint, only ROCs constructed via experimental manipulations of response bias ("binary" ROCs) are predicted to be linear by threshold MPT models. The authors claimed that binary ROCs are linear, consistent with the assumptions of threshold MPT models. We compared SDT and the double high-threshold MPT model using binary ROCs differing in target strength. Results showed that the SDT model provided a superior account of both the ROC curvature and the effect of strength compared to the MPT model. Moreover, the bias manipulation produced differences in RT distributions that were well described by the diffusion model (Ratcliff, 1978), a dynamic version of SDT. (Contains 6 tables and 9 figures.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A