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A semantic memory sentence verification model based on relative judgment theory.

P J Casey, R A Heath

    Memory & Cognition
    |July 1, 1989
    PubMed
    Summary
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    This study introduces a subjective referent model for sentence verification, enhancing semantic memory tasks by integrating error rates and response times. The model successfully explains why errors take longer, outperforming previous models in experimental validation.

    Area of Science:

    • Cognitive Psychology
    • Psycholinguistics
    • Computational Neuroscience

    Background:

    • Semantic memory tasks involve verifying sentences about concepts.
    • Previous models like McCloskey and Glucksberg's property comparison model have limitations in explaining response time data.
    • The relative judgment theory of Link and Heath (1975) provides a foundation for understanding relative judgments.

    Purpose of the Study:

    • To present a subjective referent model for sentence verification in semantic memory.
    • To derive a discriminability index incorporating both error rates and response times.
    • To account for the finding that error response times are longer than correct response times.

    Main Methods:

    • Developed a subjective referent model based on relative judgment theory.

    Related Experiment Videos

  • Derived a discriminability index considering error rates and response times (RTs).
  • Conducted a partial replication of McCloskey and Glucksberg's (1979) sentence verification experiment with 44 subjects and 28 categories, controlling for item familiarity.

    • Main Results:

    • The subjective referent model explained why error RTs were consistently longer than correct RTs.
    • This finding contradicted the McCloskey and Glucksberg property comparison model.
    • A context effect was detected by the discriminability measure, an effect missed by RT data alone.
    • Discriminability measures strongly correlated with random walk step size estimates from FITTRW (Heath, 1983).

    Conclusions:

    • The subjective referent model provides a robust framework for sentence verification in semantic memory.
    • The derived discriminability index offers a more sensitive measure than RTs alone, detecting subtle effects.
    • The model's ability to account for error RTs and context effects enhances understanding of semantic memory processes.