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Related Experiment Videos

Regularities of source recognition: ROC analysis.

Andy Hilford1, Murray Glanzer, Kisok Kim

  • 1Department of Psychology, New York University, 6 Washington Place, New York, New York 10003, USA. ah13@nyu.edu

Journal of Experimental Psychology. General
|December 26, 2002
PubMed
Summary

This study introduces a signal-detection model for source memory recognition. Data from experiments partially support the model, necessitating revisions for a better fit to observed regularities in receiver operating characteristics.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Signal Detection Theory

Background:

  • Source memory research is expanding across disciplines.
  • Developing accurate models for source memory is crucial.

Purpose of the Study:

  • To present and test a 2-dimensional signal-detection model for source recognition.
  • To evaluate the model's fit with experimental data on receiver operating characteristics (ROCs).

Main Methods:

  • A 2-dimensional signal-detection model was developed.
  • Receiver operating characteristics (ROCs) were analyzed from three experiments.
  • Model performance was assessed against observed data regularities.

Main Results:

  • Experimental data revealed three regularities: convex ROCs, linear slopes in z-ROCs (1.00), and slightly concave z-ROCs.

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  • Two observed regularities supported the initial model.
  • A third regularity required a revision of the proposed signal-detection model.
  • Conclusions:

    • The revised signal-detection model provides a better fit to empirical source memory data.
    • The findings have implications for understanding source memory mechanisms and evaluating competing theories.