SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
The neural implausibility of the diffusion decision model doesn’t matter for cognitive psychometrics, but the Ornstein-Uhlenbeck model is better
6 references·0 citing·30 second hop
The neural implausibility of the diffusion decision model doesn’t matter for cognitive psychometrics, but the Ornstein-Uhlenbeck model is better (2024)The neural implausibility of the diffusio…Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making (2020)Sequential sampling models wi…The EZ diffusion model provides a powerful test of simple empirical effects (2016)The EZ diffusion model provid…Individual differences, aging, and IQ in two-choice tasks (2009)Individual differences, aging…Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability (2002)Estimating parameters of the …Multinomial processing tree models and psychological assessment. (1998)Multinomial processing tree m…Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. (1993)Decision field theory: A dyna…The Principles of Psychology (1891)The Framing of Decisions and the Psychology of Choice (1981)Prospect theory: An analysis of decision under risk (1988)Individual differences in reasoning: Implications for the rationality debate? (2000)Representativeness Revisited: Attribute Substitution in Intuitive Judgment (2002)Heuristics and Biases: The Psychology of Intuitive Judgment (2004)Probabilistic Models for Some Intelligence and Attainment Tests (1961)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Boston Naming Test (2001)Parameter variability and distributional assumptions in the diffusion model. (2012)A cognitive latent variable model for the simultaneous analysis of behavioral and personality data (2014)Prejudice against Women Leaders: Insights from an Indirect Questioning Approach (2018)Multialternative decision field theory: A dynamic connectionst model of decision making. (2001)Individual differences in components of reaction time distributions and their relations to working memory and intelligence. (2007)Two-stage dynamic signal detection: A theory of choice, decision time, and confidence. (2010)The CES-D Scale (1977)Structural Equations with Latent Variables. (1991)Anxiety enhances threat processing without competition among multiple inputs: A diffusion model analysis. (2010)On the interpretation of removable interactions: A survey of the field 33 years after Loftus (2011)Strategic offloading of delayed intentions into the external environment (2014)Older Adults' Reasons for Using Technology while Aging in Place (2015)A Diffusion Model Account of the Lexical Decision Task. (2004)Homo Heuristicus: Why Biased Minds Make Better Inferences (2009)Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious (2016)The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models (2018)Strong Effort Manipulations Reduce Response Caution: A Preregistered Reinvention of the Ego-Depletion Paradigm (2020)Toward an instance theory of automatization. (1988)Think fast! The implications of emphasizing urgency in decision-making (2021)“Reliable organisms from unreliable components” revisited: the linear drift, linear infinitesimal variance model of decision making (2023)Framing Subjective Emotion Reports as Dynamic Affective Decisions (2023)
this work references cited by second hop

References

  • 1993Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.1,935 cited
  • 2002Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability837 cited
  • 2009Individual differences, aging, and IQ in two-choice tasks237 cited
  • 2016The EZ diffusion model provides a powerful test of simple empirical effects116 cited
  • 1998Multinomial processing tree models and psychological assessment.95 cited
  • 2020Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making84 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work