Testing theories of post-error slowing
Tóm tắt
Từ khóa
Tài liệu tham khảo
Baayen, R. H., Piepenbrock, R., & van Rijn, H. (1993). The CELEX lexical database (CD-ROM). Philadelphia: Linguistic Data Consortium, University of Pennsylvania.
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108, 624–652. doi: 10.1037/0033-295X.108.3.624
Brewer, N., & Smith, G. A. (1989). Developmental changes in processing speed: Influence of speed–accuracy regulation. Journal of Experimental Psychology: General, 118, 298–310. doi: 10.1037/0096-3445.118.3.298
Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice reaction time: Linear ballistic accumulation. Cognitive Psychology, 57, 153–178. doi: 10.1016/j.cogpsych.2007.12.002
Cohen, J. D., Botvinick, M., & Carter, C. S. (2000). Anterior cingulate and prefrontal cortex: Who’s in control? Nature Neuroscience, 3, 421–423. doi: 10.1038/74783
Danielmeier, C., Eichele, T., Forstmann, B. U., Tittgemeyer, M., & Ullsperger, M. (2011). Posterior medial frontal cortex activity predicts post-error adaptations in task-related visual and motor areas. Journal of Neuroscience, 31, 1780–1789. doi: 10.1523/JNEUROSCI.4299-10.2011
de Jong, R., Liang, C.-C., & Lauber, E. (1994). Conditional and unconditional automaticity: A dual-process model of effects of spatial stimulus–response correspondence. Journal of Experimental Psychology: Human Perception and Performance, 20, 731–750. doi: 10.1037/0096-1523.20.4.731
Diederich, A., & Busemeyer, J. R. (2006). Modeling the effects of payoff on response bias in a perceptual discrimination task: Bound-change, drift-rate-change, or two-stage-processing hypothesis. Perception & Psychophysics, 68, 194–207. doi: 10.3758/BF03193669
Dutilh, G., Krypotos, A.-M., & Wagenmakers, E.-J. (2011). Task-related vs. stimulus-specific practice: A diffusion model account. Experimental Psychology. doi: 10.1027/1618-3169/a000111
Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16, 1026–1036. doi: 10.3758/16.6.1026
Edwards, W. (1965). Optimal strategies for seeking information: Models for statistics, choice reaction times, and human information processing. Journal of Mathematical Psychology, 2, 312–329. doi: 10.1016/0022-2496(65)90007-6
Fitts, P. M. (1966). Cognitive aspects of information processing: III. Set for speed versus accuracy. Journal of Experimental Psychology, 71, 849–857. doi: 10.1037/h0023232
Forstmann, B. U., Dutilh, G., Brown, S. D., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E.-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences, 105, 17538–17542. doi: 10.1073/pnas.0805903105
Geddes, J., Ratcliff, R., Allerhand, M., Childers, R., Wright, R. J., Frier, B. M., & Deary, I. J. (2010). Modeling the effects of hypoglycemia on a two-choice task in adult humans. Neuropsychology, 24, 652–660. doi: 10.1037/a0020074
Gold, J. I., & Shadlen, M. N. (2002). Banburismus and the brain: Decoding the relationship between sensory stimuli, decisions, and reward. Neuron, 36, 299–308.
Gold, J. I., & Shadlen, M. N. (2007). The neural basis of decision making. Annual Review of Neuroscience, 30, 535–574. doi: 10.1146/annurev.neuro.29.051605.113038
Hajcak, G., McDonald, N., & Simons, R. F. (2003). To err is autonomic: Error-related brain potentials, ANS activity, and post-error compensatory behavior. Psychophysiology, 40, 895–903. doi: 10.1111/1469-8986.00107
Keuleers, E., & Brysbaert, M. (2010). Wuggy: A multilingual pseudoword generator. Behavior Research Methods, 42, 627–633. doi: 10.3758/BRM.42.3.627
Keuleers, E., Brysbaert, M., & New, B. (2010). SUBTLEX-NL: A new measure for Dutch word frequency based on film subtitles. Behavior Research Methods, 42, 643–650. doi: 10.3758/BRM.42.3.643
Keuleers, E., Diependaele, K., & Brysbaert, M. (2010). Practice effects in large-scale visual word recognition studies: A lexical decision study on 14,000 Dutch mono- and disyllabic words and nonwords. Frontiers in Psychology, 1, 174. doi: 10.3389/fpsyg.2010.00174
Klauer, K. C., Voss, A., Schmitz, F., & Teige-Mocigemba, S. (2007). Process components of the Implicit Association Test: A diffusion-model analysis. Journal of Personality and Social Psychology, 93, 353–368. doi: 10.1037/0022-3514.93.3.353
Laming, D. R. J. (1968). Information theory of choice-reaction times. London, U.K.: Academic Press.
Laming, D. (1979a). Autocorrelation of choice-reaction times. Acta Psychologica, 43, 381–412. doi: 10.1016/0001-6918(79)90032-5
Laming, D. (1979b). Choice reaction performance following an error. Acta Psychologica, 43, 199–224. doi: 10.1016/0001-6918(79)90026-X
Li, R. C., Huang, C., Constable, R. T., & Sinha, R. (2006). Imaging response inhibition in a stop-signal task: Neural correlates independent of signal monitoring and post-response processing. Journal of Neuroscience, 26, 186–192. doi: 10.1523/JNEUROSCI.3741-05.2006
Luce, R. D. (1986). Response times: Their role in inferring mental organization. New York, NY: Oxford University Press, Clarendon Press.
Notebaert, W., Houtman, F., Van Opstal, F., Gevers, W., Fias, W., & Verguts, T. (2009). Post-error slowing: An orienting account. Cognition, 111, 275–279. doi: 10.1016/j.cognition.2009.02.002
Petrov, A. A., Horn, N. M., & Ratcliff, R. (2011). Dissociable perceptual-learning mechanisms revealed by diffusion-model analysis. Psychonomic Bulletin & Review, 18, 490–497. doi: 10.3758/s13423-011-0079-8
Pratte, M. S., Rouder, J. N., Morey, R. D., & Feng, C. (2010). Exploring the differences in distributional properties between Stroop and Simon effects using delta plots. Attention, Perception, & Psychophysics, 72, 2013–2025. doi: 10.3758/APP.72.7.2013
Rabbitt, P. (1966). How old and young subjects monitor and control responses for accuracy and speed. Journal of Experimental Psychology, 71, 264–272.
Rabbitt, P. (1979). How old and young subjects monitor and control responses for accuracy and speed. British Journal of Psychology, 70, 305–311.
Rabbitt, P., & Rodgers, B. (1977). What does a man do after he makes an error? An analysis of response programming. Quarterly Journal of Experimental Psychology, 29, 727–743. doi: 10.1080/14640747708400645
Raftery, A. E. (1995). Bayesian model selection in social research. In P. V. Marsden (Ed.), Sociological methodology 1995 (pp. 111–196). Cambridge, MA: Blackwell.
Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85, 59–108. doi: 10.1037/0033-295X.85.2.59
Ratcliff, R. (2002). A diffusion model account of response time and accuracy in a brightness discrimination task: Fitting real data and failing to fit fake but plausible data. Psychonomic Bulletin & Review, 9, 278–291. doi: 10.3758/BF03196283
Ratcliff, R., Gomez, P., & McKoon, G. (2004). A diffusion model account of the lexical decision task. Psychological Review, 111, 159–182. doi: 10.1037/0033-295X.111.1.159
Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: Theory and data for two-choice decision tasks. Neural Computation, 20, 873–922. doi: 10.1162/neco.2008.12-06-420
Ratcliff, R., & Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychological Science, 9, 347–356. doi: 10.1111/1467-9280.00067
Ratcliff, R., Schmiedek, F., & McKoon, G. (2008). A diffusion model explanation of the worst performance rule for reaction time and IQ. Intelligence, 36, 10–17. doi: 10.1016/j.intell.2006.12.002
Ratcliff, R., Thapar, A., & McKoon, G. (2001). The effects of aging on reaction time in a signal detection task. Psychology and Aging, 16, 323–341. doi: 10.1037/0882-7974.16.2.323
Ratcliff, R., Thapar, A., & McKoon, G. (2006). Aging, practice, and perceptual tasks: A diffusion model analysis. Psychology and Aging, 21, 353–371. doi: 10.1037/0882-7974.21.2.353
Ratcliff, R., Thapar, A., & McKoon, G. (2010). Individual differences, aging, and IQ in two-choice tasks. Cognitive Psychology, 60, 127–157. doi: 10.1016/j.cogpsych.2009.09.001
Ratcliff, R., & Tuerlinckx, F. (2002). Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review, 9, 438–481. doi: 10.3758/BF03196302
Ratcliff, R., & Van Dongen, H. P. A. (2009). Sleep deprivation affects multiple distinct cognitive processes. Psychonomic Bulletin & Review, 16, 742–751. doi: 10.3758/PBR.16.4.742
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16, 225–237. doi: 10.3758/PBR.16.2.225
Schmiedek, F., Oberauer, K., Wilhelm, O., Süß, H.-M., & Wittmann, W. W. (2007). Individual differences in components of reaction time distributions and their relations to working memory and intelligence. Journal of Experimental Psychology: General, 136, 414–429. doi: 10.1037/0096-3445.136.3.414
Shiels, K., & Hawk, L. W., Jr. (2010). Self-regulation in ADHD: The role of error processing. Clinical Psychology Review, 951–961. doi: 10.1016/j.cpr.2010.06.010
Smith, G. A., & Brewer, N. (1995). Slowness and age: Speed–accuracy mechanisms. Psychology and Aging, 10, 238–247. doi: 10.1037/0882-7974.10.2.238
Speckman, P. L., Rouder, J. N., Morey, R. D., & Pratte, M. S. (2008). Delta plots and coherent distribution ordering. American Statistician, 62, 262–266. doi: 10.1198/000313008X333493
Tops, M., & Boksem, M. A. S. (2011). Cortisol involvement in mechanisms of behavioral inhibition. Psychophysiology, 48, 723–732. doi: 10.1111/j.1469-8986.2010.01131.x
Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review, 14, 1011–1026. doi: 10.3758/BF03193087
Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40, 61–72. doi: 10.3758/BRM.40.1.61
van Ravenzwaaij, D., Brown, S., & Wagenmakers, E.-J. (2011). An integrated perspective on the relation between response speed and intelligence. Cognition, 119, 381–393. doi: 10.1016/j.cognition.2011.02.002
van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.-J. (2011). Does the name–race Implicit Association Test measure racial prejudice? Experimental Psychology, 58, 271–277. doi: 10.1027/1618-3169/a000093
Verguts, T., Notebaert, W., Kunde, W., & Wühr, P. (2011). Post-conflict slowing: Cognitive adaptation after conflict processing. Psychonomic Bulletin & Review, 18, 76–82. doi: 10.3758/s13423-010-0016-2
Vickers, D., & Lee, M. D. (1998). Dynamic models of simple judgments: I. Properties of a self-regulating accumulator module. Nonlinear Dynamics, Psychology, and Life Sciences, 2, 169–194. doi: 10.1023/A:1022371901259
Voss, A., Rothermund, K., & Voss, J. (2004). Interpreting the parameters of the diffusion model: An empirical validation. Memory & Cognition, 32, 1206–1220. doi: 10.3758/BF03196893
Wagenmakers, E.-J. (2009). Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy. European Journal of Cognitive Psychology, 21, 641–671. doi: 10.1080/09541440802205067
Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language, 58, 140–159. doi: 10.1016/j.jml.2007.04.006
Wagenmakers, E.-J., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review, 14, 3–22. doi: 10.3758/BF03194023
Wagenmakers, E.-J., van der Maas, H. L. J., & Molenaar, P. C. M. (2005). Catastrophe theory. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (pp. 234–239). Chichester, U.K.: Wiley.
Wetzels, R., Matzke, D., Lee, M. D., Rouder, J. N., Iverson, G. J., & Wagenmakers, E.-J. (2011). Statistical evidence in experimental psychology: An empirical comparison using 855 t tests. Perspectives on Psychological Science, 6, 291–298. doi: 10.1177/1745691611406923
Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E.-J. (2009). How to quantify support for and against the null hypothesis: A flexible WinBUGS implementation of a default Bayesian t test. Psychonomic Bulletin & Review, 16, 752–760. doi: 10.3758/PBR.16.4.752
White, C., Ratcliff, R., Vasey, M., & McKoon, G. (2009). Dysphoria and memory for emotional material: A diffusion-model analysis. Cognition and Emotion, 23, 181–205. doi: 10.1080/02699930801976770
White, C. N., Ratcliff, R., Vasey, M. W., & McKoon, G. (2010a). Anxiety enhances threat processing without competition among multiple inputs: A diffusion model analysis. Emotion, 10, 662–677. doi: 10.1037/a0019474