Drifting from slow to "D'oh!": Working memory capacity and mind wandering predict extreme reaction times and executive control errors

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 38, Issue 3, 2012, Pages 525-549

  McVay, Jennifer C ^a   Kane, Michael J ^a  

^a UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

Author keywords

Executive control; Individual differences; Mind wandering; Reaction time; Reaction times; Working memory

Indexed keywords

ADOLESCENT; ADULT; ANALYSIS OF VARIANCE; ARTICLE; ATTENTION; EXECUTIVE FUNCTION; FACTORIAL ANALYSIS; FEMALE; HUMAN; INDIVIDUALITY; LEARNING; LINGUISTICS; MALE; NEUROPSYCHOLOGICAL TEST; PHYSIOLOGY; REACTION TIME; REGRESSION ANALYSIS; SHORT TERM MEMORY; THINKING;

ADOLESCENT; ADULT; ANALYSIS OF VARIANCE; ATTENTION; EXECUTIVE FUNCTION; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; INDIVIDUALITY; MALE; MEMORY, SHORT-TERM; NEUROPSYCHOLOGICAL TESTS; REACTION TIME; REGRESSION ANALYSIS; THINKING; VERBAL LEARNING; VOCABULARY; YOUNG ADULT;

EID: 84865680226     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0025896     Document Type: Article

References (137)

1. Alloway, T. P., Gathercole, S. E., Kirkwood, H., & Elliott, J. (2009). The cognitive and behavioral characteristics of children with low working memory. Child Development, 80, 606-621. doi:10.1111/j.1467-8624.2009.01282.x
2. Antrobus, J. S., Coleman, R., & Singer, J. L. (1967). Signal-detection performance by subjects differing in predisposition to daydreaming. Journal of Consulting Psychology, 31, 487-491. doi:10.1037/h0024969
3. Antrobus, J. S., Singer, J. L., & Greenberg, S. (1966). Studies in the stream of consciousness: Experimental enhancement and suppression of spon-taneous cognitive processes. Perceptual and Motor Skills, 23, 399-417. doi:10.2466/pms.1966.23.2.399
4. Baars, B. J. (1988). A cognitive theory of consciousness. New York, NY: Cambridge University Press.
5. Barrouillet, P., Lépine, R., & Camos, V. (2008). Is the influence of working memory capacity on high-level cognition mediated by complexity or resource-dependent elementary processes? Psychonomic Bulletin & Re-view, 15, 528-534. doi:10.3758/PBR.15.3.528
6. Beilock, S. L., & Carr, T. H. (2001). On the fragility of skilled perfor-mance: What governs choking under pressure? Journal of Experimental Psychology: General, 130, 701-725. doi:10.1037/0096-3445.130.4.701
7. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. C. (2001). Conflict monitoring and cognitive control. Psychological Re-view, 108, 624-652. doi:10.1037/0033-295X.108.3.624
8. Braver, T. S., Gray, J. R., & Burgess, G. C. (2007). Explaining the many varieties of working memory variation: Dual mechanisms of cognitive control. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, & J. N. Towse (Eds.), Variation in working memory (pp. 76-106). New York, NY: Oxford University Press.
9. Brown, S., & Heathcote, A. (2003). QMLE: Fast, robust, and efficient estimation of distribution functions based on quantiles. Behavior Re-search Methods, Instruments & Computers, 35, 485-492. doi:10.3758/ BF03195527
10. Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychol-ogy, 57, 153-178.
11. Burgess, P. W., Dumontheil, I., & Gilbert, S. J. (2007). The gateway hypothesis of rostral prefrontal cortex (area 10) function. Trends in Cognitive Sciences, 11, 290-298. doi:10.1016/j.tics.2007.05.004
12. Cheyne, J. A., Solman, G. J. F., Carriere, J. S. A., & Smilek, D. (2009). Anatomy of an error: A bidirectional state model of task engagement/ disengagement and attention-related errors. Cognition, 111, 98-113. doi:10.1016/j.cognition.2008.12.009
13. Christoff, K., Gordon, A. M., Smallwood, J., Smith, R., & Schooler, J. W. (2009). Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences, USA, 106, 8719-8724. doi:10.1073/ pnas.0900234106
14. Cohen, J. D., & Servan-Schreiber, D. (1992). Context, cortex, and dopa-mine: A connectionist approach to behavior and biology in schizophre-nia. Psychological Review, 99, 45-77. doi:10.1037/0033-295X.99.1.45
15. Colflesh, G. J. H., & Conway, A. R. A. (2007). Individual differences in working memory capacity and divided attention in dichotic listening. Psychonomic Bulletin & Review, 14, 699-703. doi:10.3758/ BF03196824
16. Colom, R., Abad, F. J., Quiroga, M. A., Shih, P. C., & Flores-Mendoza, C. (2008). Working memory and intelligence are highly related constructs, but why? Intelligence, 36, 584-606. doi:10.1016/j.intell.2008.01.002
17. Colzato, L. S., Spapé, M. M. A., Pannebakker, M. M., & Hommel, B. (2007). Working memory and the attentional blink: Blink size is pre-dicted by individual differences in operation span. Psychonomic Bulletin & Review, 14, 1051-1057. doi:10.3758/BF03193090
18. Conway, A. R. A., Cowan, N., & Bunting, M. F. (2001). The cocktail party phenomenon revisited: The importance of working memory capacity. Psychonomic Bulletin & Review, 8, 331-335. doi:10.3758/BF03196169
19. Conway, A. R. A., & Engle, R. W. (1994). Working memory and retrieval: A resource-dependent inhibition model. Journal of Experimental Psy-chology: General, 123, 354-373. doi:10.1037/0096-3445.123.4.354
20. Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A method-ological review and user's guide. Psychonomic Bulletin & Review, 12, 769-786. doi:10.3758/BF03196772
21. Coyle, T. R. (2003). A review of the worst performance rule: Evidence, theory, and alternative hypotheses. Intelligence, 31, 567-587. doi: 10.1016/S0160-2896(03)00054-0
22. Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3, 422-433. doi:10.3758/BF03214546
23. Davies, D. R., & Parasuraman, R. (1982). The psychology of vigilance. New York, NY: Academic Press.
24. De Jong, R. D. (2001). Adult age differences in goal activation and goal maintenance. European Journal of Cognitive Psychology, 13, 71-89. doi:10.1080/09541440042000223
25. De Jong, R. D., Berendsen, E., & Cools, R. (1999). Goal neglect and inhibitory limitations: Dissociable causes of interference effects in con-flict situations. Acta Psychologica, 101, 379-394. doi:10.1016/S0001-6918(99)00012-8
26. Donkin, C., Averell, L., Brown, S., & Heathcote, A. (2009). Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator. Behavior Research Methods, 41, 1095-1110. doi: 10.3758/BRM.41.4.1095
27. Donkin, C., Brown, S., Heathcote, A., & Wagenmakers, E.-J. (2011). Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes? Psychonomic Bulletin & Review, 18, 61-69. doi:10.3758/s13423-010-0022-4
28. Duncan, J. (1995). Attention, intelligence, and the frontal lobes. In M. Gazzaniga (Ed.), The cognitive neurosciences (pp. 721-733). Cam-bridge, MA: MIT Press.
29. Ellis, H. C., Moore, B. A., Varner, L. J., Ottaway, S. A., & Becker, A. S. (1997). Depressed mood, task organization, cognitive interference, and memory: Irrelevant thoughts predict recall performance. Journal of Social Behavior & Personality, 12, 453-470.
30. Engle, R. W., & Kane, M. J. (2004). Executive attention, working memory capacity, and a two-factor theory of cognitive control. In B. Ross (Ed.), The psychology of learning and motivation (pp. 145-199). New York, NY: Academic Press.
31. Forster, S., & Lavie, N. (2009). Harnessing the wandering mind: The role of perceptual load. Cognition, 111, 345-355. doi:10.1016/j.cogni-tion.2009.02.006
32. Fukuda, K., & Vogel, E. K. (2009). Human variation in overriding atten-tional capture. Journal of Neuroscience, 29, 8726-8733. doi:10.1523/ JNEUROSCI.2145-09.2009
33. Gailliot, M. T., Baumeister, R. F., DeWall, C. N., Maner, J. K., Plant, E. A., Tice, D. M., Schmeichel, B. J. (2007). Self-control relies on glucose as a limited energy source: Willpower is more than a metaphor. Journal of Personality and Social Psychology, 92, 325-336. doi: 10.1037/0022-3514.92.2.325
34. Gathercole, S. E., Alloway, T. P., Kirkwood, H. J., Elliott, J. G., Holmes, J., & Hilton, K. A. (2008). Attentional and executive function behav-iours in children with poor working memory. Learning and Individual Differences, 18, 214-223. doi:10.1016/j.lindif.2007.10.003
35. Giambra, L. M. (1989). Task-unrelated thought frequency as a function of age: A laboratory study. Psychology and Aging, 4, 136-143. doi: 10.1037/0882-7974.4.2.136
36. Giambra, L. M. (1993). The influence of aging on spontaneous shifts of attention from external stimuli to the contents of consciousness. Exper-imental Gerontology, 28, 485-492. doi:10.1016/0531-5565(93)90073-M
37. Giambra, L. M. (1995). A laboratory method for investigating influences on switching attention to task-unrelated imagery and thought. Con-sciousness and Cognition, 4, 1-21. doi:10.1006/ccog.1995.1001
38. Gilbert, S. J., Frith, C. D., & Burgess, P. W. (2005). Involvement of rostral prefrontal cortex in selection between stimulus-oriented and stimulus-independent thought. European Journal of Neuroscience, 21, 1423-1431. doi:10.1111/j.1460-9568.2005.03981.x
39. Gilbert, S. J., Simons, J. S., Frith, C. D., & Burgess, P. W. (2006). Performance-related activity in medial rostral prefrontal cortex (area 10) during low-demand tasks. Journal of Experimental Psychology: Human Perception and Performance, 32, 45-58. doi:10.1037/0096-1523.32.1.45
40. Gomez, P., Ratcliff, R., & Perea, M. (2007). A model of the go/no-go task. Journal of Experimental Psychology: General, 136, 389-413.
41. Grodsky, A., & Giambra, L. M. (1990-1991). The consistency across vigilance and reading tasks of individual differences in the occurrence of task-unrelated and task-related images and thoughts. Imagination, Cog-nition and Personality, 10, 39-52.
42. Hasher, L., Lustig, C., & Zacks, R. T. (2007). Inhibitory mechanisms and the control of attention. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, & J. N. Towse (Eds.), Variation in working memory (pp. 227-249). Oxford, England: Oxford University Press.
43. Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension, and aging: A review and a new view. In G. H. bower (ed.), the psychology of learning and motivation: Advances in research and theory (Vol. 22, pp. 193-225). San Diego, CA: Academic Press.
44. Heitz, R. P., & Engle, R. W. (2007). Focusing the spotlight: Individual differences in visual attention control. Journal of Experimental Psychol-ogy: General, 136, 217-240. doi:10.1037/0096-3445.136.2.217
45. Helton, W. S., Hollander, T. D., Warm, J. S., Matthews, G., Dember, W. N., Wallaart, M., Hancock, P. A. (2005). Signal regularity and the mindlessness model of vigilance. British Journal of Psychology, 96, 249-261. doi:10.1348/000712605X38369
46. Helton, W. S., Weil, L., Middlemiss, A., & Sawers, A. (2010). Globalinterference and spatial uncertainty in the sustained attention to response task (SART). Consciousness and Cognition, 19, 77-85. doi:10.1016/ j.concog.2010.01.006
47. Hutchison, K. A. (2011). The interactive effects of listwide control, item-based control, and working memory capacity on Stroop interference. Journal of Experimental Psychology: Learning, Memory, and Cogni-tion, 37, 851-860.
48. Jackson, J. D., & Balota, D. A. (2011, June 27). Mind-wandering in younger and older adults: Converging evidence from the sustained attention to response task and reading for comprehension. Psychology and Aging. Advance online publication. doi:10.1037/a0023933
49. Jacoby, L. L., Kelley, C. M., & McElree, B. D. (1999). The role of cognitive control: Early selection versus late correction. In S. Chaiken & E. Trope (Eds.), Dual process theories in social psychology (pp. 383-400). New York, NY: Guilford Press.
50. Jensen, A. R. (1992). The importance of intraindividual variability in reaction time. Personality and Individual Differences, 13, 869-881. doi:10.1016/0191-8869(92)90004-9
51. Johnson, K. A., Kelly, S. P., Bellgrove, M. A., Barry, E., Cox, M., Gill, M., Robertson, I. H. (2007). Response variability in attention deficit hyperactivity disorder: Evidence for neuropsychological heterogeneity. Neuropsychologia, 45, 630-638. doi:10.1016/j.neuropsychologia .2006.03.034
52. Kane, M. J., Bleckley, M. K., Conway, A. R. A., & Engle, R. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130, 169-183. doi:10.1037/0096-3445.130.2.169
53. Kane, M. J., Brown, L. H., McVay, J. C., Silvia, P. J., Myin-Germeys, I., & Kwapil, T. R. (2007). For whom the mind wanders, and when: An experience-sampling study of working memory and executive control in daily life. Psychological Science, 18, 614-621. doi:10.1111/j.1467-9280.2007.01948.x
54. Kane, M. J., Conway, A. R. A., Hambrick, D. Z., & Engle, R. W. (2007). Variation in working memory as variation in executive attention and control. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, & J. N. Towse (Eds.), Variation in working memory (pp. 21-48). New York, NY: Oxford University Press.
55. Kane, M. J., & Engle, R. W. (2000). Working-memory capacity, proactive interference, and divided attention: Limits on long-term memory re-trieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 336-358. doi:10.1037/0278-7393.26.2.336
56. Kane, M. J., & Engle, R. W. (2003). Working-memory capacity and the control of attention: The contributions of goal neglect, response com-petition, and task set to Stroop interference. Journal of Experimental Psychology: General, 132, 47-70. doi:10.1037/0096-3445.132.1.47
57. Kane, M. J., Hambrick, D. Z., & Conway, A. R. A. (2005). Working memory capacity and fluid intelligence are strongly related constructs: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulle-tin, 131, 66-71. doi:10.1037/0033-2909.131.1.66
58. Kane, M. J., Poole, B. J., Tuholski, S. W., & Engle, R. W. (2006). Working memory capacity and the top-down control of visual search: Exploring the boundaries of "executive attention." Journal of Experimental Psy-chology: Learning, Memory, and Cognition, 32, 749-777. doi:10.1037/ 0278-7393.32.4.749
59. Keye, D., Wilhelm, O., Oberauer, K., & van Ravenzwaaij, D. (2009). Individual differences in conflict-monitoring: Testing means and cova-riance hypothesis about the Simon and the Eriksen Flanker task. Psy-chological Research, 73, 762-776. doi:10.1007/s00426-008-0188-9
60. Kline, R. B. (2005). Principles and practice of structural equation mod-eling (2nd ed.). New York, NY: Guilford Press.
61. Klinger, E., & Cox, W. M. (1987-1988). Dimensions of thought flow in everyday life. Imagination, Cognition and Personality, 7, 105-128.
62. Larson, G. E., & Alderton, D. L. (1990). Reaction time variability and intelligence: A "worst performance" analysis of individual differences. Intelligence, 14, 309-325. doi:10.1016/0160-2896(90)90021-K
63. Larson, G. E., & Saccuzzo, D. P. (1989). Cognitive correlates of general intelligence: Toward a process theory of g. Intelligence, 13, 5-31. doi:10.1016/0160-2896(89)90003-2
64. Long, D. L., & Prat, C. S. (2002). Working memory and Stroop interfer-ence: An individual differences investigation. Memory & Cognition, 30, 294-301. doi:10.3758/BF03195290
65. Marcovitch, S., Boseovski, J. J., Knapp, R. J., & Kane, M. J. (2010). Goal neglect and working memory capacity in 4-to 6-year-old children. Child Development, 81, 1687-1695. doi:10.1111/j.1467-8624.2010.01503.x
66. Martínez, K., & Colom, R. (2009). Working memory capacity and pro-cessing efficiency predict fluid but not crystallized and spatial intelli-gence: Evidence supporting the neural noise hypothesis. Personality and Individual Differences, 46, 281-286. doi:10.1016/j.paid.2008.10.012
67. Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007, April 25). Wandering minds: The default network and stimulus-independent thought. Science, 315, 393-395. doi: 10.1126/science.1131295
68. Matzke, D., & Wagenmakers, E. J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model anal-ysis. Psychonomic Bulletin & Review, 16, 798-817. doi:10.3758/ PBR.16.5.798
69. McGuire, P. K., Paulesu, E., Frackowiak, R. S. J., & Frith, C. D. (1996). Brain activity during stimulus independent thought. NeuroReport, 7, 2095-2099.
70. McKiernan, K. A., D'Angelo, B. R., Kaufman, J. N., & Binder, J. R. (2006). Interrupting the stream of consciousness: An fMRI investigation. NeuroImage, 29, 1185-1191. doi:10.1016/j.neuroimage.2005.09.030
71. McVay, J. C., & Kane, M. J. (2009). Conducting the train of thought: Working memory capacity, goal neglect, and mind wandering in an executive-control task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 196-204. doi:10.1037/a0014104
72. McVay, J. C., & Kane, M. J. (2010). Does mind wandering reflect exec-utive function or executive failure? Comment on Smallwood and Schooler (2005). and Watkins (2008). Psychological Bulletin, 136, 188-197. doi:10.1037/a0018298
73. McVay, J. C., & Kane, M. J. (2011). Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attention. Journal of Experimental Psychology: General. Advance online publication. doi:10.1037/a0025250
74. McVay, J. C., Kane, M. J., & Kwapil, T. R. (2009). Tracking the train of thought from the laboratory into everyday life: An experience-sampling study of mind-wandering across controlled and ecological contexts. Psychonomic Bulletin & Review, 16, 857-863. doi:10.3758/PBR .16.5.857
75. Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167-202. doi: 10.1146/annurev.neuro.24.1.167
76. Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., & Howerter, A. (2000). The unity and diversity of executive functions and their contributions to complex "frontal lobe" tasks: A latent variable analysis. Cognitive Psychology, 41, 49-100. doi:10.1006/cogp.1999.0734
77. Mogle, J. A., Lovett, B. J., Stawski, R. S., & Sliwinski, M. J. (2008). What's so special about working memory? An examination of the relationship among working memory, secondary memory, and fluid intelligence. Psychological Science, 19, 1071-1077. doi:10.1111/j.1467-9280.2008.02202.x
78. Navon, D. (1984). Resources-A theoretical soup stone? Psychological Review, 91, 216-234. doi:10.1037/0033-295X.91.2.216
79. Navon, D. (1989a). The importance of being visible: On the role of attention in a mind viewed as an anarchic intelligence system. I. Basic tenets. European Journal of Cognitive Psychology, 1, 191-213.
80. Navon, D. (1989b). The importance of being visible: On the role of attention in a mind viewed as an anarchic intelligence system. II. Application to the field of attention. European Journal of Cognitive Psychology, 1, 215-238.
81. Neumann, O. (1987). Beyond capacity: A functional view of attention. In H. Heuer & A. F. Sanders (Eds.), Perspectives on perception and action (pp. 361-394). Hillsdale, NJ: Erlbaum.
82. Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: Verbal reports on mental processes. Psychological Review, 84, 231-259. doi:10.1037/0033-295X.84.3.231
83. Oberauer, K. (2005). Binding and inhibition in working memory: Individ-ual and age differences in short-term recognition. Journal of Experimen-tal Psychology: General, 134, 368-387. doi:10.1037/0096-3445 .134.3.368
84. Oberauer, K. (2009). Design for a working memory. Psychology of Learn-ing and Motivation, 51, 45-100. doi:10.1016/S0079-7421(09)51002-X
85. Oberauer, K., Schulze, R., Wilhelm, O., & Süβ, H. M. (2005). Working memory and intelligence-their correlation and their relation: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131, 61-65. doi:10.1037/0033-2909.131.1.61
86. Oberauer, K., Süβ, H. M., Wilhelm, O., & Sander, N. (2007). Individual differences in working memory capacity and reasoning ability. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, & J. N. Towse (Eds.), Variation in working memory (pp. 49-75). New York, NY: Oxford University Press.
87. Perry, A. R., & Laurie, C. A. (1992). Sustained attention and the Type A behavior pattern: The effect of daydreaming on performance. Journal of General Psychology, 119, 217-228. doi:10.1080/ 00221309.1992.9917803
88. Poole, B. J., & Kane, M. J. (2009). Working memory capacity predicts the executive control of visual search among distractors: The influences of sustained and selective attention. Quarterly Journal of Experimental Psychology, 62, 1430-1454. doi:10.1080/17470210802479329
89. Ratcliff, R., & Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychological Science, 9, 347-356. doi:10.1111/1467-9280.00067
90. 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
91. Ratcliff, R., & Smith, P. L. (2004). A comparison of serial sampling models for two-choice reaction time. Psychological Review, 111, 333-367. doi:10.1037/0033-295X.111.2.333
92. 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
93. Ratcliff, R., Thapar, A., & McKoon, G. (2011). Effects of aging and IQ on item and associative memory. Journal of Experimental Psychology: General, 140, 464-487. doi:10.1037/a0023810
94. Ratcliff, R., & Tuerlinckx, F. (2002). Estimating parameters of the diffu-sion model: Approaches to dealing with contaminant reaction times and parameter variability. Psychonomic Bulletin & Review, 9, 438-481. doi:10.3758/BF03196302
95. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
96. Reason, J. T. (1990). Human error. Cambridge, England: Cambridge University Press.
97. Redick, T. S., Calvo, A., Gay, C. E., & Engle, R. W. (2011). Working memory capacity and go/no-go task performance: Selective effects of updating, maintenance, and inhibition. Journal of Experimental Psychol-ogy: Learning, Memory, and Cognition, 37, 308-324. doi:10.1037/ a0022216
98. Reichle, E. D., Reineberg, A. E., & Schooler, J. W. (2010). Eye movements during mindless reading. Psychological Science, 21, 1300-1310.
99. Roberts, R. J., & Pennington, B. F. (1996). An interactive framework for examining prefrontal cognitive processes. Developmental Neuropsy-chology, 12, 105-126. doi:10.1080/87565649609540642
100. Robertson, I. H., Manly, T., Andrade, J., Baddeley, B. T., & Yiend, J. (1997). "Oops!": Performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia, 35, 747-758. doi:10.1016/S0028-3932(97)00015-8
101. Schmiedek, F., Oberauer, K., Wilhelm, O., Süβ, 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
102. Schooler, J. W. (2002). Re-representing consciousness: Dissociations be-tween experience and meta-consciousness. Trends in Cognitive Sci-ences, 6, 339-344. doi:10.1016/S1364-6613(02)01949-6
103. Schooler, J. W., Reichle, E. D., & Halpern, D. V. (2004). Zoning out while reading: Evidence for dissociations between experience and metacon-sciousness. In D. Levin (Ed.), Thinking and seeing: Visual metacogni-tion in adults and children (pp. 203-226). Cambridge, MA: MIT Press.
104. Shaw, G. A., & Giambra, L. M. (1993). Task unrelated thoughts of college students diagnosed as hyperactive in childhood. Developmental Neuro-psychology, 9, 17-30. doi:10.1080/87565649309540541
105. Smallwood, J. (2010). Why the global availability of mind wandering necessitates resource competition: Reply to McVay & Kane. Psycholog-ical Bulletin, 136, 202-207.
106. Smallwood, J., Beach, E. Schooler, J. W., & Handy, T. C. (2008). Going AWOL in the brain: Mind wandering reduces cortical analysis of exter-nal events. Journal of Cognitive Neuroscience, 20, 458-469. doi: 10.1162/jocn.2008.20037
107. Smallwood, J., Davies, J. B., Heim, D., Finnigan, F., Sudberry, M., O'Connor, R., & Obonsawin, M. (2004). Subjective experience and the attentional lapse: Task engagement and disengagement during sustained attention. Consciousness and Cognition, 13, 657-690. doi:10.1016/ j.concog.2004.06.003
108. Smallwood, J., Fitzgerald, A., Miles, L. K., & Phillips, L. H. (2009). Shifting moods, wandering minds: Negative moods lead the mind to wander. Emotion, 9, 271-276. doi:10.1037/a0014855
109. Smallwood, J., McSpadden, M., Luus, B., & Schooler, J. (2008). Segment-ing the stream of consciousness: The psychological correlates of tem-poral structures in the time series data of a continuous performance task. Brain and Cognition, 66, 50-56. doi:10.1016/j.bandc.2007.05.004
110. Smallwood, J., McSpadden, M., & Schooler, J. W. (2007). The lights are on but no one's home: Meta-awareness and the decoupling of attention when the mind wanders. Psychonomic Bulletin & Review, 14, 527-533. doi:10.3758/BF03194102
111. Smallwood, J., McSpadden, M., & Schooler, J. W. (2008). When attention matters: The curious incidence of the wandering mind. Memory & Cognition, 36, 1144-1150. doi:10.3758/MC.36.6.1144
112. Smallwood, J., Obonsawin, M., Baracaia, S. F., Reid, H., O'Connor, R., & Heim, D. (2002-2003). The relationship between rumination, dysphoria, and self-referent thinking: Some preliminary findings. Imagination, Cognition, and Personality, 22, 317-342. doi:10.2190/2N80-AVM3-4A23-LEAJ
113. Smallwood, J., Obonsawin, M., & Reid, H. (2003). The effects of block duration and task demands on the experience of task unrelated thought. Imagination, Cognition and Personality, 22, 13-31. doi:10.2190/ TBML-N8JN-W5YB-4L9R
114. Smallwood, J., O'Connor, R. C., Sudbery, M. V., & Obonsawin, M. C. (2007). Mind-wandering and dysphoria. Cognition & Emotion, 21, 816-842. doi:10.1080/02699930600911531
115. Smallwood, J., Riby, L., Heim, D., & Davies, J. D. (2006). Encoding during the attentional lapse: Accuracy of encoding during the semantic SART. Consciousness and Cognition, 15, 218-231. doi:10.1016/ j.concog.2005.03.003
116. Smallwood, J., & Schooler, J. W. (2006). The restless mind. Psychological Bulletin, 132, 946-958. doi:10.1037/0033-2909.132.6.946
117. Snodgrass, J. G., & Corwin, J. (1988). Pragmatics of measuring recognition memory: Applications to dementia and amnesia. Journal of Experimen-tal Psychology: General, 117, 34-50. doi:10.1037/0096-3445.117.1.34
118. Sobel, K. V., Gerrie, M. P., Poole, B. J., & Kane, M. J. (2007). Individual differences in working memory capacity and visual search: The roles of top-down and bottom-up processing. Psychonomic Bulletin & Review, 14, 840-845. doi:10.3758/BF03194109
119. Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245-251. doi:10.1037/0033-2909.87.2.245
120. Stuyven, E., & Van der Goten, K. (1995). Stimulus independent thoughts and working memory: The role of the central executive. Psychologica Belgica, 35, 241-251.
121. Teasdale, J. D., Dritschel, B. H., Taylor, M. J., Proctor, L., Lloyd, C. A., Nimmo-Smith, I., & Baddeley, A. D. (1995). Stimulus-independent thought depends on central executive resources. Memory & Cognition, 23, 551-559. doi:10.3758/BF03197257
122. Teasdale, J. D., Proctor, L., Lloyd, C. A., & Baddeley, A. D. (1993). Working memory and stimulus-independent thought: Effects of memory load and presentation rate. European Journal of Cognitive Psychology, 5, 417-433. doi:10.1080/09541449308520128
123. Tse, C.-S., Balota, D. A., Yap, M. J., Duchek, J. M., & McCabe, D. P. (2010). Effects of healthy aging and early stage dementia of the Alz-heimer's type on components of response time distributions in three attention tasks. Neuropsychology, 24, 300-315. doi:10.1037/a0018274
124. Unsworth, N., & Engle, R. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114, 104-132. doi:10.1037/0033-295X.114.1.104
125. Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span task. Behavior Research Meth-ods, 37, 498-505. doi:10.3758/BF03192720
126. Unsworth, N., Redick, T. S., Heitz, R. P., Broadway, J. M., & Engle, R. W. (2009). Complex working memory span tasks and higher-order cogni-tion: A latent-variable analysis of the relationship between processing and storage. Memory, 17, 635-654. doi:10.1080/09658210902998047
127. Unsworth, N., Redick, T. S., Lakey, C. E., & Young, D. L. (2010). Lapses in sustained attention and their relation to executive control and fluid abilities: An individual differences investigation. Intelligence, 38, 111-122. doi:10.1016/j.intell.2009.08.002
128. Unsworth, N., Schrock, J. C., & Engle, R. W. (2004). Working memory capacity and the antisaccade task: Individual differences in voluntary saccade control. Journal of Experimental Psychology: Learning, Mem-ory, and Cognition, 30, 1302-1321. doi:10.1037/0278-7393.30.6.1302
129. Unsworth, N., & Spillers, G. J. (2010). Working memory capacity: Atten-tion control, secondary memory, or both? A direct test of the dual-component model. Journal of Memory and Language, 62, 392-406. doi:10.1016/j.jml.2010.02.001
130. Vandekerckhove, J., & Tuerlinckx, F. (2007). Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review, 14, 1011-1026.
131. Vandekerckhove, J., & Tuerlinckx, F. (2008). Diffusion model analysis with MATLAB: A DMAT primer. Behavior Research Methods, 40, 61-72.
132. van Ravenzwaaij, D., Brown, S., & Wagenmakers, E. J. (2011). An integrated perspective on the relation between response speed and intel-ligence. Cognition, 119, 381-393. doi:10.1016/j.cognition.2011.02.002
133. Voss, A., & Voss, J. (2007). Fast-dm: A free program for efficient diffu-sion model analysis. Behavior Research Methods, 39, 767-775.
134. 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
135. West, R. (2001). The transient nature of executive control processes in younger and older adults. European Journal of Cognitive Psychology, 13, 91-105. doi:10.1080/09541440042000232
136. Wilhelm, O., & Oberauer, K. (2006). Why are reasoning ability and working memory capacity related to mental speed? An investigation of stimulus-response compatibility in choice reaction time tasks. Euro-pean Journal of Cognitive Psychology, 18, 18-50. doi:10.1080/ 09541440500215921
137. Wilson, T. D. (2002). Strangers to ourselves: Discovering the adaptive unconscious. Cambridge, MA: Harvard University Press