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What cognitive processes drive response biases? A diffusion model analysis
9 references·16 citing·45 second hop
What cognitive processes drive response biases? A diffusion model analysis (2011)What cognitive processes drive response b…Visual fixations and the computation and comparison of value in simple choice (2010)Visual fixations and the comp…The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure (2010)The Drift Diffusion Model can…Neuroeconomics: cross-currents in research on decision-making (2006)Neuroeconomics: cross-current…Choosing the greater of two goods: neural currencies for valuation and decision making (2005)Choosing the greater of two g…A Diffusion Model Account of the Lexical Decision Task. (2004)A Diffusion Model Account of …Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability (2002)Estimating parameters of the …The effects of aging on reaction time in a signal detection task. (2001)The effects of aging on react…Significance tests and goodness of fit in the analysis of covariance structures. (1980)Significance tests and goodne…Optimal strategies for seeking information: Models for statistics, choice reaction times, and human information processing (1965)Optimal strategies for seekin…Framing Subjective Emotion Reports as Dynamic Affective Decisions (2023)Framing Subjective Emotion Re…A Cognitive Computational Approach to Social and Collective Decision-Making (2023)A Cognitive Computational App…Wise or mad crowds? The cognitive mechanisms underlying information cascades (2020)Wise or mad crowds? The cogni…Psychological mechanisms of loss aversion: A drift-diffusion decomposition (2020)Psychological mechanisms of l…Evidence Accumulation Models: Current Limitations and Future Directions (2020)Evidence Accumulation Models:…Age differences in diffusion model parameters: a meta-analysis (2020)Age differences in diffusion …Idiosyncratic choice bias naturally emerges from intrinsic stochasticity in neuronal dynamics (2019)Idiosyncratic choice bias nat…Ongoing, rational calibration of reward-driven perceptual biases (2018)Ongoing, rational calibration…Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models: Meta-analysis and simulations. (2018)Low and variable correlation …Effects of implicit fear of failure on cognitive processing: A diffusion model analysis (2018)Effects of implicit fear of f…Retest reliability of the parameters of the Ratcliff diffusion model (2016)Retest reliability of the par…Response Times in Economics: Looking Through the Lens of Sequential Sampling Models (2016)Response Times in Economics: …Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious (2016)Model Complexity in Diffusion…Comparing fixed and collapsing boundary versions of the diffusion model (2016)Comparing fixed and collapsin…Influence of Branding on Preference-Based Decision Making (2013)Influence of Branding on Pref…Linear Deterministic Accumulator Models of Simple Choice (2012)Linear Deterministic Accumula…Choices, Values, and Frames (2000)Neuroeconomics: The Consilience of Brain and Decision (2004)A framework for the unification of the behavioral sciences (2007)Social Decision-Making: Insights from Game Theory and Neuroscience (2007)Decision making, movement planning and statistical decision theory (2008)The CES-D Scale (1977)The handbook of aging and cognition (1992)Enhanced multisensory integration in older adults (2005)Hierarchical diffusion models for two-choice response times. 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(2007)HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python (2013)Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence. (2020)The common factor of executive functions measures nothing but speed of information uptake (2024)Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice. 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this work references cited by second hop

References

  • 1980Significance tests and goodness of fit in the analysis of covariance structures.19,061 cited
  • 2010Visual fixations and the computation and comparison of value in simple choice1,406 cited
  • 2002Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability837 cited
  • 2004A Diffusion Model Account of the Lexical Decision Task.577 cited
  • 2006Neuroeconomics: cross-currents in research on decision-making561 cited
  • 2005Choosing the greater of two goods: neural currencies for valuation and decision making536 cited
  • 2001The effects of aging on reaction time in a signal detection task.330 cited
  • 2010The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure321 cited
  • 1965Optimal strategies for seeking information: Models for statistics, choice reaction times, and human information processing295 cited

Cited by

  • 2016Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious134 cited
  • 2020Evidence Accumulation Models: Current Limitations and Future Directions113 cited
  • 2020Wise or mad crowds? The cognitive mechanisms underlying information cascades102 cited
  • 2012Linear Deterministic Accumulator Models of Simple Choice101 cited
  • 2016

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Comparing fixed and collapsing boundary versions of the diffusion model
93 cited
  • 2016Retest reliability of the parameters of the Ratcliff diffusion model92 cited
  • 2016Response Times in Economics: Looking Through the Lens of Sequential Sampling Models84 cited
  • 2013Influence of Branding on Preference-Based Decision Making70 cited
  • 2020Age differences in diffusion model parameters: a meta-analysis61 cited
  • 2018Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models: Meta-analysis and simulations.60 cited
  • 2018Ongoing, rational calibration of reward-driven perceptual biases58 cited
  • 2020Psychological mechanisms of loss aversion: A drift-diffusion decomposition48 cited
  • 2023A Cognitive Computational Approach to Social and Collective Decision-Making33 cited
  • 2019Idiosyncratic choice bias naturally emerges from intrinsic stochasticity in neuronal dynamics31 cited
  • 2018Effects of implicit fear of failure on cognitive processing: A diffusion model analysis20 cited
  • 2023Framing Subjective Emotion Reports as Dynamic Affective Decisions17 cited