An integrated perspective on the relation between response speed and intelligence

Cognition

Volumn 119, Issue 3, 2011, Pages 381-393

  van Ravenzwaaij, Don ^a   Brown, Scott ^b   Wagenmakers, Eric Jan ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Diffusion model; Drift rate; G; Intelligence; Response time distributions; Standard deviation

Indexed keywords

ARTICLE; CORRELATION ANALYSIS; DIFFUSION; INFORMATION PROCESSING; INTELLIGENCE; MENTAL PERFORMANCE; PREDICTION; PRIORITY JOURNAL; RESPONSE TIME;

DATA INTERPRETATION, STATISTICAL; HUMANS; INDIVIDUALITY; INTELLIGENCE; LINEAR MODELS; MODELS, PSYCHOLOGICAL; PSYCHOMOTOR PERFORMANCE; REACTION TIME;

EID: 79953293491     PISSN: 00100277     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cognition.2011.02.002     Document Type: Article

References (70)

1. Anderson M., Reid C. Intelligence. Psychology 2005, 268-290. Blackwell Publishing. M. Hewstone, F.D. Fincham, J. Foster (Eds.).
2. Baumeister A.A. Intelligence and the " personal equation" Intelligence 1998, 26:255-265.
3. Berkson G., Baumeister A.A. Reaction time variability of mental defectives and normals. American Journal of Mental Deficiency 1967, 72:262-266.
4. Bogacz R., Brown E., Moehlis J., Holmes P., Cohen J.D. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced choice tasks. Psychological Review 2006, 113:700-765.
5. Bogacz R., Gurney K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Computation 2007, 19:442-477.
6. Brinley J.F. Cognitive sets, speed and accuracy of performance in the elderly. Behavior, aging and the nervous system 1965, 114-149. Thomas, Springfield, IL. A.T. Welford, J.E. Birren (Eds.).
7. Brown S., Heathcote A. The simplest complete model of choice reaction time: Linear ballistic accumulation. Cognitive Psychology 2008, 57:153-178.
8. Cerella J. Information processing rates in the elderly. Psychological Bulletin 1985, 98:67-83.
9. Coyle T.R. A review of the worst performance rule: Evidence, theory, and alternative hypotheses. Intelligence 2003, 31:567-587.
10. Deary I.J. Sensory discrimination and intelligence: Postmortem or resurrection?. American Journal of Psychology 1994, 107:95-115.
11. Deary I.J., Stough C. Intelligence and inspection time. Achievements, prospects, and problems. American Psychologist 1996, 51:599-608.
12. Donkin, C., Brown, S., Heathcote, A., & Wagenmakers, E. J. (in press). Diffusion versus linear ballistic accumulation: Different models for response time, same conclusions about psychological mechanisms? Psychonomic Bulletin & Review.
13. Dutilh G., Wagenmakers E.-J., Vandekerckhove J., Tuerlinckx F. A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review 2009, 16:1026-1036.
14. Faust M.E., Balota D.A., Spieler D.H., Ferraro F.R. Individual differences in information-processing rate and amount: Implications for group differences in response latency. Psychological Bulletin 1999, 125:777-799.
15. Fry A.F., Hale S. Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science 1996, 7:237-241.
16. Gold J.I., Shadlen M.N. The neural basis of decision making. Annual Review of Neuroscience 2007, 30:535-574.
17. Grudnik J.L., Kranzler J.H. Meta-analysis of the relationship between intelligence and inspection time. Intelligence 2001, 29:523-535.
18. Heekeren H.R., Marrett S., Ungerleider L.G. The neural systems that mediate human perceptual decision making. Nature Reviews Neuroscience 2008, 9:467-479.
19. Ho T.C., Brown S., Serences J.T. Domain general mechanisms of perceptual decision making in human cortex. The Journal of Neuroscience 2009, 29:8675-8687.
20. Jensen A.R. The importance of intra individual variability in reaction time. Personality and Individual Differences 1992, 13:869-882.
21. Jensen A.R. The g factor 1998, Praeger Publisher, Westport, CT.
22. Jensen A.R. Clocking the mind: Mental chronometry and individual differences 2006, Elsevier, Amsterdam.
23. Kail R. Developmental change in speed of processing during childhood and adolescence. Psychological Bulletin 1991, 109:490-501.
24. Klauer K.C., Voss A., Schmitz F., Teige-Mocigemba S. Process components of the implicit association test: A diffusion-model analysis. Journal of Personality and Social Psychology 2007, 93:353-368.
25. Kornblum S., Stevens G.T., Whipple A., Requin J. The effects of irrelevant stimuli: 1. The time course of stimulus-stimulus and stimulus-response consistency effects with Stroop-like stimuli, Simon-like tasks, and their factorial combinations. Journal of Experimental Psychology: HPP 1999, 25:688-714.
26. Larson G.E., Alderton D.L. Reaction time variability and intelligence: A " worst performance analysis of individual differences. Intelligence 1990, 14:309-325.
27. Lo C.-C., Wang X.-J. Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nature Neuroscience 2006, 9:956-963.
28. Luce R.D. Response times 1986, Oxford University Press, New York.
29. Ma W.J., Beck J.M., Pouget A. Spiking networks for Bayesian inference and choice. Current Opinion in Neurobiology 2008, 18:217-222.
30. MacLeod C.M. Half a century of research on the Stroop effect: An integrative review. Psychological Bulletin 1991, 109:163-203.
31. Matzke D., Wagenmakers E.-J. Psychological interpretation of ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review 2009, 16:798-817.
32. Myerson J., Adams D.R., Hale S., Jenkins L. Analysis of group differences in processing speed: Brinley plots, Q-Q plots, and other conspiracies?. Psychonomic Bulletin & Review 2003, 10:224-237.
33. Myerson J., Hale S., Wagstaff D., Poon L.W., Smith G.A. The information-loss model: A mathematical theory of age-related cognitive slowing. Psychological Review 1990, 97:475-487.
34. Rabbitt P. Do individual differences in speed reflect " global" or " local" differences in mental abilities?. Intelligence 1996, 22:69-88.
35. Ratcliff R. A theory of memory retrieval. Psychological Review 1978, 85:59-108.
36. Ratcliff R. 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 2002, 9:278-291.
37. Ratcliff R., Gomez P., McKoon G. Diffusion model account of lexical decision. Psychological Review 2004, 111:159-182.
38. Ratcliff R., McKoon G. The diffusion decision model: Theory and data for two-choice decision tasks. Neural Computation 2008, 20:873-922.
39. Ratcliff R., Rouder J.N. Modeling response times for two-choice decisions. Psychological Science 1998, 9:347-356.
40. Ratcliff R., Rouder J.N. A diffusion model account of masking in two-choice letter identification. Journal of Experimental Psychology: Human Perception and Performance 2000, 26:127-140.
41. Ratcliff R., Schmiedek F., McKoon G. A diffusion model explanation of the worst performance rule for reaction time and IQ. Intelligence 2008, 36:10-17.
42. Ratcliff R., Spieler D., McKoon G. Explicitly modeling the effects of aging on response time. Psychonomic Bulletin & Review 2000, 7:1-25.
43. Ratcliff R., Thapar A., McKoon G. The effects of aging on reaction time in a signal detection task. Psychology and Aging 2001, 16:323-341.
44. Ratcliff R., Thapar A., McKoon G. A diffusion model analysis of the effects of aging on brightness discrimination. Perception & Psychophysics 2003, 65:523-535.
45. Ratcliff R., Thapar A., McKoon G. A diffusion model analysis of the effects of aging on recognition memory. Journal of Memory and Language 2004, 50:408-424.
46. Ratcliff R., Thapar A., McKoon G. Aging and individual differences in rapid two-choice decisions. Psychonomic Bulletin & Review 2006, 13:626-635.
47. Ratcliff R., Thapar A., McKoon G. Aging, practice, and perceptual tasks: A diffusion model analysis. Psychology and Aging 2006, 21:353-371.
48. Ratcliff R., Thapar A., McKoon G. Individual differences, aging, and IQ in two-choice tasks. Cognitive Psychology 2010, 60:127-157.
49. Ratcliff R., Tuerlinckx F. Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review 2002, 9:438-481.
50. Salthouse T.A. The processing-speed theory of adult age differences in cognition. Psychological Review 1996, 103:403-428.
51. Schmiedek F., Lövdén M., Lindenberger U. On the relation of mean reaction time and intraindividual reaction time variability. Psychology and Aging 2009, 136:841-857.
52. Schmiedek F., Oberauer K., Wilhelm O., Süß H.-M., Wittmann W.W. Individual differences in components of reaction time distributions and their relations to working memory and intelligence. Journal of Experimental Psychology: General 2007, 136:414-429.
53. Shadlen M.N., Newsome W.T. Motion perception: Seeing and deciding. Proceedings of the National Academy of Sciences 1996, 93:628-633.
54. Simon J.R. The effects of an irrelevant directional cue on human information processing. Stimulus-response compatibility: An integrated perspective. Advances in psychology 1990, Vol. 65:31-86. Elsevier Science, Amsterdam.
55. Smith P.L., Ratcliff R. The psychology and neurobiology of simple decisions. Trends in Neurosciences 2004, 27:161-168.
56. Soltani A., Wang X.-J. Synaptic computation underlying probabilistic inference. Nature Neuroscience 2010, 13:112-121.
57. Unsworth N., Redick T.S., Lakey C.E., Young D.L. Lapses in sustained attention and their relation to executive control and fluid abilities: An individual differences investigation. Intelligence 2010, 38:111-122.
58. Usher M., McClelland J.L. On the time course of perceptual choice: The leaky competing accumulator model. Psychological Review 2001, 108:550-592.
59. van Ravenzwaaij D., Oberauer K. How to use the diffusion model: Parameter recovery of three methods: EZ, fast-dm, and DMAT. Journal of Mathematical Psychology 2009, 53:463-473.
60. van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.-J. (in press). Does the name-race implicit association test measure racial prejudice? Experimental Psychology.
61. Vandekerckhove J., Tuerlinckx F. Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review 2007, 14:1011-1026.
62. Vandekerckhove J., Tuerlinckx F. Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods 2008, 40:61-72.
63. Vandekerckhove, J., Tuerlinckx, F., & Lee, M. D. (in press). Hierarchical diffusion models for two-choice response times. Psychological Methods.
64. Voss A., Voss J. Fast-dm: A free program for efficient diffusion model analysis. Behavior Research Methods 2007, 39:767-775.
65. Wagenmakers E.-J. Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy. European Journal of Cognitive Psychology 2009, 21:641-671.
66. Wagenmakers E.-J., Brown S. On the linear relation between the mean and the standard deviation of a response time distribution. Psychological Review 2007, 114:830-841.
67. Wagenmakers E.-J., Grasman R.P.P.P., Molenaar P.C.M. On the relation between the mean and the variance of a diffusion model response time distribution. Journal of Mathematical Psychology 2005, 49:195-204.
68. Wagenmakers E.-J., Ratcliff R., Gomez P., McKoon G. A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language 2008, 58:140-159.
69. Wagenmakers E.-J., van der Maas H.J.L., Grasman R.P.P.P. An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review 2007, 14:3-22.
70. Walhovd K.B., Fjell A.M. White matter volume predicts reaction time instability. Neuropsychologia 2007, 45:2277-2284.