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A multinomial model for short-term priming in word identification.

R Ratcliff1, G McKoon

  • 1Department of Psychology, Northwestern University, Evanston, Illinois 60208, USA.

Psychological Review
|November 9, 2001
PubMed
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A new multinomial model explains short-term priming effects in word identification tasks. This model accurately predicts how prime words influence decisions, matching previous findings.

Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Computational Neuroscience

Background:

  • Short-term priming significantly impacts perceptual word identification.
  • Existing models like ROUSE (Responding Optimally With Unknown Sources of Evidence) have been used to explain these effects.
  • Understanding the mechanisms of priming is crucial for cognitive models.

Purpose of the Study:

  • To present a simple multinomial model for short-term priming in perceptual word identification.
  • To evaluate the model's performance against experimental data.
  • To compare the proposed model with the established ROUSE model.

Main Methods:

  • Development of a multinomial model incorporating assumptions about decision-making under priming.
  • Application of the model to data from five perceptual word identification experiments.

Related Experiment Videos

  • Statistical fitting and comparison of the model's predictions with observed data.

    • Main Results:

    • The proposed multinomial model successfully fits the data from five experiments.
    • The model's performance is comparable to that of the ROUSE model.
    • The model accounts for trial-by-trial variability in decisions influenced by prime words.

    Conclusions:

    • The simple multinomial model provides a viable alternative for understanding short-term priming.
    • The model's success suggests potential for further development and critical evaluation.
    • This work contributes to the ongoing refinement of models explaining priming effects in cognition.