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Related Experiment Videos

Neighborhood frequency does affect performance in the Reicher task: encoding or decision?

K R Paap1, L S Johansen, E Chun

  • 1Department of Psychology, New Mexico State University, Las Cruces 88003, USA. kenp@crl.nmsu.edu

Journal of Experimental Psychology. Human Perception and Performance
|December 29, 2000
PubMed
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Word frequency impacts reading performance, especially for low-frequency words. This study reveals that word recognition is influenced by surrounding word frequencies, suggesting a decision bias rather than perceptual changes.

Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Visual Word Recognition

Background:

  • Word frequency is a known factor influencing reading.
  • The Reicher task is a common paradigm for studying visual word recognition.

Purpose of the Study:

  • To investigate the neighborhood frequency effect in word recognition.
  • To determine if this effect is due to perceptual sensitivity or decision bias.
  • To test the applicability of the stochastic activation-verification model.

Main Methods:

  • Utilized the Reicher task with varying word frequencies and masking techniques.
  • Employed a same-different task with signal-detection analysis.
  • Investigated word recognition with and without priming to manipulate word accessibility.

Related Experiment Videos

Main Results:

  • Performance on low-frequency words was disrupted when alternatives were high-frequency words (neighborhood frequency effect).
  • This effect was eliminated when word accessibility was enhanced through priming.
  • Signal-detection analysis indicated the effect influenced decision criteria, not perceptual sensitivity.
  • Low-frequency words (1-5 per million) were often unrecognized out of context.

Conclusions:

  • Frequency effects in the Reicher task are likely driven by a bias in the decision system.
  • These findings support the stochastic activation-verification model for simulating word recognition.
  • Context and word accessibility play crucial roles in overcoming frequency-based recognition challenges.