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Item-specific processing reduces false memories.

David P McCabe1, Alison G Presmanes, Chuck L Robertson

  • 1Georgia Institute of Technology, Atlanta, Georgia, USA. dmccab@artsci.wustl.edu

Psychonomic Bulletin & Review
|May 7, 2005
PubMed
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Item-specific encoding instructions reduce false recognition by enhancing memory for details. This finding supports memory-based explanations over decision-based ones for false memory effects in recognition tasks.

Area of Science:

  • Cognitive Psychology
  • Human Memory Research

Background:

  • False recognition, a common memory error, occurs when individuals erroneously recall non-presented items.
  • The Deese-Roediger-McDermott (DRM) paradigm is frequently used to study false recognition.
  • Theoretical explanations for false recognition include decision-based and memory-based accounts.

Purpose of the Study:

  • To investigate the impact of item-specific versus relational encoding instructions on false recognition.
  • To differentiate between decision-based and memory-based explanations for false recognition using experimental design.

Main Methods:

  • Two experiments utilized the DRM paradigm with item-specific and relational encoding instructions.
  • Encoding manipulation was between-subjects in Experiment 1 and within-subjects in Experiment 2.

Related Experiment Videos

  • False recognition rates were measured under different encoding conditions.

    • Main Results:

    • Item-specific encoding instructions significantly reduced false recognition in both between-subjects and within-subjects designs.
    • These findings were consistent across both experimental designs.
    • Relational encoding did not show a similar reduction in false recognition.

    Conclusions:

    • Results favor memory-based explanations, suggesting enhanced recollection of item-specific details reduces false recognition.
    • Item-specific encoding improves discrimination between studied items and critical lures.
    • Relational encoding may impair discrimination by increasing item similarity within a list theme.