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Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological

Chris Donkin1, Scott Brown, Andrew Heathcote

  • 1Indiana University, Bloomington, IN, USA. christopher.donkin@gmail.com

Psychonomic Bulletin & Review
|February 18, 2011
PubMed
Summary
This summary is machine-generated.

Quantitative models of response time and accuracy are key for understanding psychological processes. This study finds that while models like the Ratcliff diffusion model and Linear Ballistic Accumulator model sometimes disagree, conclusions from real data are generally robust across models.

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Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Psychological Modeling

Background:

  • Quantitative models of response time and accuracy are widely employed to infer psychological processes.
  • Two prominent models, the Ratcliff diffusion model (DDM) and the Linear Ballistic Accumulator (LBA) model, are frequently used for such inferences.
  • The congruence of conclusions drawn from these distinct models is not fully understood.

Purpose of the Study:

  • To investigate the extent to which substantive conclusions about psychological processes depend on the choice between the DDM and LBA models.
  • To compare the agreement and disagreement between the DDM and LBA models under different simulation conditions and empirical data fits.

Main Methods:

  • Computer simulations were conducted to compare the DDM and LBA models' predictions regarding information accumulation rate, non-decision time, and response caution.
  • The models were fitted to empirical data to assess their agreement on the effects of experimental manipulations, particularly those targeting response caution.

Main Results:

  • Simulations revealed agreement between DDM and LBA on the effects of information accumulation rate and non-decision time, but disagreement on response caution.
  • Fits to empirical data showed close agreement between the models regarding the effects of experimental manipulations of response caution.
  • Real-world manipulations of caution map closely, though not perfectly, to the theoretical construct of response caution in both models.

Conclusions:

  • Despite theoretical disagreements in simulations, empirical applications of the DDM and LBA models yield similar conclusions regarding psychological processes.
  • Inferences about cognitive mechanisms derived from response time and accuracy data are unlikely to be critically dependent on the specific choice of DDM or LBA.
  • The robustness of findings across these models suggests a reliable basis for understanding decision-making and cognitive control.