Speed–accuracy manipulations and diffusion modeling: Lack of discriminant validity of the manipulation or of the parameter estimates?
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[1] Andreas Voss,et al. Fast-dm: A free program for efficient diffusion model analysis , 2007, Behavior research methods.
[2] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[3] Michael F. Bunting,et al. Alternatives to switch-cost scoring in the task-switching paradigm: Their reliability and increased validity , 2014, Behavior research methods.
[4] A. Osman,et al. Mechanisms of speed–accuracy tradeoff: evidence from covert motor processes , 2000, Biological Psychology.
[5] R. Ratcliff,et al. A diffusion model analysis of the effects of aging on letter discrimination. , 2003, Psychology and aging.
[6] R. Ratcliff,et al. The effects of aging on reaction time in a signal detection task. , 2001, Psychology and aging.
[7] Andreas Voss,et al. How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria , 2016, Behavior Research Methods.
[8] A. Voss,et al. Interpreting the parameters of the diffusion model: An empirical validation , 2004, Memory & cognition.
[9] Andreas Voss,et al. Aging and emotional memory: cognitive mechanisms underlying the positivity effect. , 2008, Psychology and aging.
[10] Francis Tuerlinckx,et al. Diffusion model analysis with MATLAB: A DMAT primer , 2008, Behavior research methods.
[11] Klaus Oberauer,et al. How to use the diffusion model: Parameter recovery of three methods: EZ, fast-dm, and DMAT , 2009 .
[12] A. Voss,et al. Retest reliability of the parameters of the Ratcliff diffusion model , 2017, Psychological research.
[13] Scott D. Brown,et al. The simplest complete model of choice response time: Linear ballistic accumulation , 2008, Cognitive Psychology.
[14] Richard P. Heitz,et al. The speed-accuracy tradeoff: history, physiology, methodology, and behavior , 2014, Front. Neurosci..
[15] Verena C. Seibold,et al. Does temporal preparation increase the rate of sensory information accumulation? , 2011, Acta psychologica.
[16] A. Osman,et al. On the locus of speed-accuracy trade-off in reaction time: inferences from the lateralized readiness potential. , 2004, Journal of experimental psychology. General.
[17] Klaus Oberauer,et al. Individual differences in components of reaction time distributions and their relations to working memory and intelligence. , 2007, Journal of experimental psychology. General.
[18] Jeffrey N. Rouder,et al. Modeling Response Times for Two-Choice Decisions , 1998 .
[19] Andrea Schankin,et al. Decomposing the relationship between mental speed and mental abilities , 2015 .
[20] Arndt Bröder,et al. Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods , 2015, Psychological research.
[21] Scott D. Brown,et al. The hare and the tortoise: emphasizing speed can change the evidence used to make decisions. , 2014, Journal of experimental psychology. Learning, memory, and cognition.
[22] Andreas Voss,et al. Social Influence and Perceptual Decision Making , 2014, Personality & social psychology bulletin.
[23] C. Klein,et al. Predicting Fluid Intelligence by Components of Reaction Time Distributions from Simple Choice Reaction Time Tasks , 2016 .
[24] H. Engeland,et al. Basic Impairments in Regulating the Speed-Accuracy Tradeoff Predict Symptoms of Attention-Deficit/Hyperactivity Disorder , 2010, Biological Psychiatry.
[25] Roger Ratcliff,et al. Measuring psychometric functions with the diffusion model. , 2014, Journal of experimental psychology. Human perception and performance.
[26] E. Wagenmakers,et al. The Speed-Accuracy Tradeoff in the Elderly Brain: A Structural Model-Based Approach , 2011, The Journal of Neuroscience.
[27] Andreas Voss,et al. Experimental validation of the diffusion model based on a slow response time paradigm , 2019, Psychological research.
[28] R. Ratcliff,et al. Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability , 2002, Psychonomic bulletin & review.
[29] Thomas V. Wiecki,et al. The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models , 2018, Psychonomic Bulletin & Review.
[30] André Vandierendonck,et al. A comparison of methods to combine speed and accuracy measures of performance: A rejoinder on the binning procedure , 2016, Behavior Research Methods.
[31] Han L. J. van der Maas,et al. On the mean and variance of response times under the diffusion model with an application to parameter estimation , 2009 .
[32] Markus Janczyk,et al. Why free choices take longer than forced choices: evidence from response threshold manipulations , 2018, Psychological research.
[33] Andreas Voss,et al. A fast numerical algorithm for the estimation of diffusion model parameters , 2008 .
[34] Roger Ratcliff,et al. Individual Differences and Fitting Methods for the Two-Choice Diffusion Model of Decision Making. , 2015, Decision.
[35] Roger Ratcliff,et al. Individual differences, aging, and IQ in two-choice tasks , 2010, Cognitive Psychology.
[36] R. Ratcliff,et al. Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model , 2012, Cognitive Psychology.
[37] R. Ratcliff,et al. A Diffusion Model Account of Criterion Shifts in the Lexical Decision Task. , 2008, Journal of memory and language.
[38] Rolf Verleger,et al. Influence of Time Pressure in a Simple Response Task, a Choice- by-Location Task, and the Simon Task , 2001 .
[39] M. Brysbaert,et al. Combining speed and accuracy in cognitive psychology: Is the inverse efficiency score (IES) a better dependent variable than the mean reaction time (RT) and the percentage of errors (PE)? , 2011 .
[40] A. Voss,et al. Model Complexity in Diffusion Modeling: Benefits of Making the Model More Parsimonious , 2016, Front. Psychol..
[41] Francis Tuerlinckx,et al. Fitting the ratcliff diffusion model to experimental data , 2007, Psychonomic bulletin & review.
[42] Eric-Jan Wagenmakers,et al. An EZ-diffusion model for response time and accuracy , 2007, Psychonomic bulletin & review.
[43] R. Ratcliff,et al. A diffusion model analysis of the effects of aging on brightness discrimination , 2003, Perception & psychophysics.
[44] Andreas Voss,et al. Assessing cognitive processes with diffusion model analyses: a tutorial based on fast-dm-30 , 2015, Front. Psychol..
[45] E. Wagenmakers,et al. Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? , 2010, Psychonomic bulletin & review.
[46] Risto Näätänen,et al. Time uncertainty and occurence uncertainty of the stimulus in a simple reaction time task , 1972 .
[47] R. Ratcliff,et al. A Diffusion Model Analysis of the Effects of Aging on Recognition Memory Journal of Memory and Language , 2003 .
[48] E. Wagenmakers,et al. A diffusion model decomposition of the practice effect , 2009, Psychonomic bulletin & review.
[49] Scott D. Brown,et al. The Optimality of Sensory Processing during the Speed–Accuracy Tradeoff , 2012, The Journal of Neuroscience.
[50] A. Voss,et al. Interpreting ambiguous stimuli: Separating perceptual and judgmental biases. , 2008 .