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Cognitive processes in associative and categorical priming: a diffusion model analysis.

Andreas Voss1, Klaus Rothermund, Anne Gast

  • 1Psychologisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany. andreas.voss@psychologie.uni-heidelberg.de

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience

Background:

  • Priming effects are fundamental to understanding cognitive processes.
  • Existing research often analyzes response times (RTs) and error rates.
  • The diffusion model offers a more nuanced approach to cognitive mechanisms.

Purpose of the Study:

  • To investigate cognitive processes and mechanisms of different priming types.
  • To analyze effects of prime-target associations and categorical matches using a diffusion model.
  • To differentiate mechanisms underlying associative and categorical priming.

Main Methods:

  • Employed a diffusion model approach across 6 experiments.
  • Analyzed associative and categorical priming effects on response times and error frequencies.
  • Mapped priming effects onto diffusion model parameters (drift rate, extradecisional parameters).

Main Results:

  • Significant associative and categorical priming effects were observed in standard RT and error analyses.
  • Diffusion model analysis indicated associative priming influences drift rate (v).
  • Categorical priming effects were mapped to extradecisional parameters (t₀ and d).

Conclusions:

  • Findings support the spreading activation account for associative priming.
  • Results suggest response competition explains categorical priming.
  • Highlights implications for interpreting priming effects in cognitive and social psychology.