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Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
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Published on: March 17, 2019

Separating response-execution bias from decision bias: arguments for an additional parameter in Ratcliff's diffusion

Andreas Voss1, Jochen Voss, Karl Christoph Klauer

  • 1Albert-Ludwigs-Universität Freiburg, Germany. voss@psychologie.uni-freiburg.de

The British Journal of Mathematical and Statistical Psychology
|December 25, 2009
PubMed
Summary
This summary is machine-generated.

The default diffusion model can produce biased estimates when response execution speeds differ. Accounting for varied response times improves accuracy in diffusion model data analysis for cognitive processes.

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Last Updated: Jun 17, 2026

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Area of Science:

  • Cognitive psychology
  • Computational neuroscience
  • Decision science

Background:

  • Diffusion models are valuable for analyzing cognitive processes, estimating parameters like information accumulation speed, decision bias, and response execution time.
  • The standard diffusion model assumes equal motor-response execution times for all responses.
  • Violating this assumption can lead to biased parameter estimates in diffusion model applications.

Purpose of the Study:

  • To investigate the impact of unequal response execution times on diffusion model parameter estimates.
  • To propose and evaluate methods for explicitly accounting for differences in response execution speed within the diffusion model framework.

Main Methods:

  • Utilized simulation studies to systematically assess parameter estimation biases.
  • Compared parameter estimates from the default diffusion model against a modified model that accommodates differential response execution times.

Main Results:

  • Simulation results confirmed that parameter estimates are biased when response execution speeds differ and are not explicitly modeled.
  • A significant number of trials (over 1,000) are required to reliably detect differences in response execution times.

Conclusions:

  • The default diffusion model's assumption of equal response execution times can lead to inaccurate cognitive process estimations.
  • Explicitly modeling differences in response execution times is crucial for accurate diffusion model analysis, especially in studies with potential response time variability.
  • Researchers should consider the implications of response execution time differences and potentially employ extended diffusion models for more precise parameter estimation.