Evolution and cognitive development

Evolutionary Perspectives on Human Development

Volumn , Issue , 2005, Pages 99-134

  Geary, David C ^a  

^a UNIVERSITY OF MISSOURI   (United States)

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[No Author keywords available]

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EID: 84952316906     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4135/9781452233574.n4     Document Type: Chapter

References (136)

1. Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288-318. doi:10.1037/0096-3445.117.3.288 http://dx.doi.org/10.1037/0096-3445.117.3.288
2. Ackerman, P. L., & Cianciolo, A. T. (2000). Cognitive, perceptual-speed, and psychomotor determinants of individual differences in skill acquisition. Journal of Experimental Psychology: Applied, 6, 259-290. doi:10.1037/1076-898X.6.4.259 http://dx.doi.org/10.1037/1076-898X.6.4.259
3. Ackerman, P. L., & Cianciolo, A. T. (2002). Ability and task constraint determinants of complex task performance. Journal of Experimental Psychology: Applied, 8, 194-208. doi:10.1037/1076-898X.8.3.194 http://dx.doi.org/10.1037/1076-898X.8.3.194
4. Alexander, R. D. (1979). Darwinism and human affairs. Seattle, WA: University of Washington Press.
5. Alexander, R. D. (1989). Evolution of the human psyche. In P. Mellars & C. Stringer (Eds.), The human revolution: Behavioural and biological perspectives on the origins of modern humans (pp. 455-513). Princeton, NJ: Princeton University Press.
6. Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369-406. doi:10.1037/0033-295X.89.4.369 http://dx.doi.org/10.1037/0033-295X.89.4.369
7. Atran, S. (1998). Folk biology and the anthropology of science: Cognitive universals and cultural particulars. Behavioral and Brain Sciences, 21, 547-609.
8. Baddeley, A. D. (1986). Working memory. Oxford, UK: Oxford University Press.
9. Baron-Cohen, S. (1995). Mindblindness: An essay on autism and theory of mind. Cambridge: MIT Press/Bradford Books.
10. Barton, R. A., & Dean, P. (1993). Comparative evidence indicating neural specialization for predatory behaviour in mammals. Proceedings of the Royal Society of London B, 254, 63-68. doi:10.1098/rspb.1993.0127 http://dx.doi.org/10.1098/rspb.1993.0127
11. Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachment as a fundamental human motive. Psychological Bulletin, 117, 497-529. doi:10.1037/0033-2909.117.3.497 http://dx.doi.org/10.1037/0033-2909.117.3.497
12. Berlin, B., Breedlove, D. E., & Raven, P. H. (1973). General principles of classification and nomenclature in folk biology. American Anthropologist, 75, 214-242. doi:10.1525/aa.1973.75.1.02a00140 http://dx.doi.org/10.1525/aa.1973.75.1.02a00140
13. Binet, A., & Simon, T. (1916). The development of intelligence in children. Baltimore, MD: Williams & Wilkins.
14. Bjorklund, D. F., & Pellegrini, A. D. (2002). The origins of human nature: Evolutionary developmental psychology. Washington, DC: American Psychological Association. doi:10.1037/10425-000 http://dx.doi.org/10.1037/10425-000
15. Blake, R. (1993). Cats perceive biological motion. Psychological Science, 4, 54-57. doi:10.1111/j.1467-9280.1993.tb00557.x http://dx.doi.org/10.1111/j.1467-9280.1993.tb00557.x
16. Bliege Bird, R., & Bird, D. W. (2002). Constraints on knowing or constraints on growing? Fishing and collecting among the children of Mer. Human Nature, 13, 239-267. doi:10.1007/s12110-002-1009-2 http://dx.doi.org/10.1007/s12110-002-1009-2
17. Blurton Jones, N. G., Hawkes, K., & O’Connell, J. F. (1997). Why do Hadza children forage? In N. L. Segal, G. E. Weisfeld, & C. C. Weisfeld (Eds.), Uniting psychology and biology: Integrative perspectives on human development (pp. 279-313). Washington, DC: American Psychological Association. doi:10.1037/10242-029 http://dx.doi.org/10.1037/10242-029
18. Blurton Jones, N., & Marlowe, F. W. (2002). Selection for delayed maturity: Does it take 20 years to learn to hunt and gather? Human Nature, 13, 199-238. doi:10.1007/s12110-002-1008-3 http://dx.doi.org/10.1007/s12110-002-1008-3
19. 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 http://dx.doi.org/10.1037/0033-295X.108.3.624
20. Bradley, L., & Bryant, P. E. (1983, February 3). Categorizing sounds and learning to read-A causal connection. Nature, 301, 419-421. doi:10.1038/301419a0 http://dx.doi.org/10.1038/301419a0
21. Brothers, L., & Ring, B. (1992). A neuroethological framework for the representation of minds. Journal of Cognitive Neuroscience, 4, 107-118. doi:10.1162/jocn.1992.4.2.107 http://dx.doi.org/10.1162/jocn.1992.4.2.107
22. Brown, D. E. (1991). Human universals. Philadelphia, PA: Temple University Press.
23. Bugental, D. B. (2000). Acquisition of the algorithms of social life: A domain-based approach. Psychological Bulletin, 126, 187-219. doi:10.1037/0033-2909.126.2.187 http://dx.doi.org/10.1037/0033-2909.126.2.187
24. Caporael, L. R. (1997). The evolution of truly social cognition: The core configurations model. Personality & Social Psychology Review, 1, 276-298. doi:10.1207/s15327957pspr0104_1 http://dx.doi.org/10.1207/s15327957pspr0104_1
25. Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: A theoretical account of processing in the Raven Progressive Matrices Test. Psychological Review, 97, 404-431. doi:10.1037/0033-295X.97.3.404 http://dx.doi.org/10.1037/0033-295X.97.3.404
26. Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press. doi:10.1017/CBO9780511571312 http://dx.doi.org/10.1017/CBO9780511571312
27. Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54, 1-22. doi:10.1037/h0046743 http://dx.doi.org/10.1037/h0046743
28. Chen, Z., & Siegler, R. S. (2000). Across the great divide: Bridging the gap between understanding toddlers’ and older children’s thinking. Monographs of the Society for Research in Child Development, 65(2, Serial № 261).
29. Chiappe, D., & MacDonald, K. (2005). The evolution of domain-general mechanisms in intelligence and learning. Journal of General Psychology, in press.
30. Clement, J. (1982). Students’ preconceptions in introductory mechanics. American Journal of Physics, 50, 66-71. doi:10.1119/1.12989 http://dx.doi.org/10.1119/1.12989
31. Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002). A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30, 163-183. doi:10.1016/S0160-2896(01)00096-4 http://dx.doi.org/10.1016/S0160-2896%2801%2900096-4
32. Cosmides, L., & Tooby, J. (1994). Origins of domain specificity: The evolution of functional organization. In L. A. Hirschfeld & S. A. Gelman (Eds.), Mapping the mind: Domain specificity in cognition and culture (pp. 85-116). New York: Cambridge University Press. doi:10.1017/CBO9780511752902.005 http://dx.doi.org/10.1017/CBO9780511752902.005
33. Damasio, A. R. (1989). Time-locked multiregional retroactivation: A systems-level proposal for the neural substrates of recall and recognition. Cognition, 33, 25-62. doi:10.1016/0010-0277(89)90005-X http://dx.doi.org/10.1016/0010-0277%2889%2990005-X
34. Damasio, A. (2003). Looking for Spinoza: Joy, sorrow, and the feeling brain. Orlando, FL: Harcourt.
35. Davis, J. N., & Todd, P. M. (1999). Parental investment by simple decision rules. In G. Gigerenzer, P. M. Todd, & the ABC Research Group (Eds.), Simple heuristics that make us smart (pp. 309-324). New York: Oxford University Press.
36. Deary, I. J. (2000). Looking down on human intelligence: From psychophysics to the brain. Oxford, UK: Oxford University Press. doi:10.1093/acprof:oso/9780198524175.001.0001 http://dx.doi.org/10.1093/acprof:oso/9780198524175.001.0001
37. Deary, I. J., & Stough, C. (1996). Intelligence and inspection time: Achievements, prospects, and problems. American Psychologist, 51, 599-608. doi:10.1037/0003-066X.51.6.599 http://dx.doi.org/10.1037/0003-066X.51.6.599
38. Dehaene, S., & Naccache, L. (2001). Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition, 79, 1-37. doi:10.1016/S0010-0277(00)00123-2 http://dx.doi.org/10.1016/S0010-0277%2800%2900123-2
39. DeLoache, J. S., Kolstad, D. V., & Anderson, K. N. (1991). Physical similarity and young children’s understanding of scale models. Child Development, 62, 111-126. doi:10.2307/1130708 http://dx.doi.org/10.2307/1130708
40. Downing, P. E., Jiang, Y., Shuman, M., & Kanwisher, N. (2001, September 28). A cortical area selective for visual processing of the human body. Science, 293, 2470-2473. doi:10.1126/science.1063414 http://dx.doi.org/10.1126/science.1063414
41. Drigotas, S. M. (2002). The Michelangelo phenomenon and personal well-being. Journal of Personality, 70, 59-77. doi:10.1111/1467-6494.00178 http://dx.doi.org/10.1111/1467-6494.00178
42. Duncan, J., & Owen, A. M. (2000). Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends in Neurosciences, 23, 475-483. doi:10.1016/S0166-2236(00)01633-7 http://dx.doi.org/10.1016/S0166-2236%2800%2901633-7
43. Duncan, J., Rüdiger, J. S., Kolodny, J., Bor, D., Herzog, H., Ahmed, A., Newell, F. H., & Emslie, H. (2000, July 21). A neural basis for general intelligence. Science, 289, 457-460. doi:10.1126/science.289.5478.457 http://dx.doi.org/10.1126/science.289.5478.457
44. Embretson, S. E. (1995). The role of working memory capacity and general control processes in intelligence. Intelligence, 20, 169-189. doi:10.1016/0160-2896(95)90031-4 http://dx.doi.org/10.1016/0160-2896%2895%2990031-4
45. Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11, 19-23. doi:10.1111/1467-8721.00160 http://dx.doi.org/10.1111/1467-8721.00160
46. Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. A. (1999). Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. Journal of Experimental Psychology: General, 128, 309-331. doi:10.1037/0096-3445.128.3.309 http://dx.doi.org/10.1037/0096-3445.128.3.309
47. Esposito, G., Kirkby, B. S., van Horn, J. D., Ellmore, T. M., & Berman, K. F. (1999). Context-dependent, neural system-specific neurophysiological concomitants of ageing: Mapping PET correlates during cognitive activation. Brain, 122, 963-979. doi:10.1093/brain/122.5.963 http://dx.doi.org/10.1093/brain/122.5.963
48. Finlay, B. L., Darlington, R. B., & Nicastro, N. (2001). Developmental structure in brain evolution. Behavioral and Brain Sciences, 24, 263-308. doi:10.1017/S0140525X01003958 http://dx.doi.org/10.1017/S0140525X01003958
49. Flashman, L. A., Andreasen, N. C, Flaum, M., & Swayze, V. W. II (1998). Intelligence and regional brain volumes in normal controls. Intelligence, 25, 149-160. doi:10.1016/S0160-2896(97)90039-8 http://dx.doi.org/10.1016/S0160-2896%2897%2990039-8
50. Freedman, D. G. (1974). Human infancy: An evolutionary perspective. New York: John Wiley.
51. Fry, A. F., & Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science, 7, 237-241. doi:10.1037//0894-4105.8.2.180 http://dx.doi.org/10.1037//0894-4105.8.2.180
52. Gallistel, C. R. (1990). The organization of learning. Cambridge: MIT Press/Bradford Books.
53. Gallistel, C. R. (2000). The replacement of general-purpose learning models with adaptively specialized learning modules. In M. S. Gazzaniga (Editor-in-chief), The new cognitive neurosciences (2nd ed., pp. 1179-1191). Cambridge: Bradford Books/MIT Press.
54. Garlick, D. (2002). Understanding the nature of the general factor of intelligence: The role of individual differences in neural plasticity as an explanatory mechanism. Psychological Review, 109, 116-136. doi:10.1037/0033-295X.109.1.116 http://dx.doi.org/10.1037/0033-295X.109.1.116
55. Geary, D. C. (1995). Reflections of evolution and culture in children’s cognition: Implications for mathematical development and instruction. American Psychologist, 50, 24-37. doi:10.1037/0003-066X.50.1.24 http://dx.doi.org/10.1037/0003-066X.50.1.24
56. Geary, D. C. (1998). Male, female: The evolution of human sex differences. Washington, DC: American Psychological Association. doi:10.1037/10370-000 http://dx.doi.org/10.1037/10370-000
57. Geary, D. C. (2002a). Principles of evolutionary educational psychology. Learning and Individual Differences, 12, 317-345. doi:10.1016/S1041-6080(02)00046-8 http://dx.doi.org/10.1016/S1041-6080%2802%2900046-8
58. Geary, D. C. (2002b). Sexual selection and human life history. Advances in Child Development and Behavior, 30, 41-101. doi:10.1016/S0065-2407(02)80039-8 http://dx.doi.org/10.1016/S0065-2407%2802%2980039-8
59. Geary, D. C. (2004). The origin of mind: Evolution of brain, cognition, and general intelligence. Washington, DC: American Psychological Association.
60. Geary, D. C, & Bjorklund, D. F. (2000). Evolutionary developmental psychology. Child Development, 71, 57-65. doi:10.1111/1467-8624.00118 http://dx.doi.org/10.1111/1467-8624.00118
61. Geary, D. C, Byrd-Craven, J., Hoard, M. K., Vigil, J., & Numtee, C. (2003). Evolution and development of boys’ social behavior. Developmental Review, 23, 444-470. doi:10.1016/j.dr.2003.08.001 http://dx.doi.org/10.1016/j.dr.2003.08.001
62. Geary, D. C, & Flinn, M. V. (2001). Evolution of human parental behavior and the human family. Parenting: Science and Practice, 1, 5-61.
63. Geary, D. C, & Huffman, K. J. (2002). Brain and cognitive evolution: Forms of modularity and functions of mind. Psychological Bulletin, 128, 667-698. doi:10.1037/0033-2909.128.5.667 http://dx.doi.org/10.1037/0033-2909.128.5.667
64. Gelman, R. (1990). First principles organize attention to and learning about relevant data: Number and animate-inanimate distinction as examples. Cognitive Science, 14, 79-106. doi:10.1207/s15516709cog1401_5 http://dx.doi.org/10.1207/s15516709cog1401_5
65. Gelman, R., & Williams, E. M. (1998). Enabling constraints for cognitive development and learning: Domain-specificity and epigenesis. In W. Damon (Series Ed.) & D. Kuhl & R. S. Siegler (Vol. Eds.), Cognition, perception, and language: Vol. 2. Handbook of child psychology (5th ed., pp. 575-630). New York: John Wiley.
66. Gevins, A., & Smith, M. E. (2000). Neurophysiological measures of working memory and individual differences in cognitive ability and cognitive style. Cerebral Cortex, 10, 829-839. doi:10.1093/cercor/10.9.829 http://dx.doi.org/10.1093/cercor/10.9.829
67. Gigerenzer, G., & Selten, R. (Eds.). (2001). Bounded rationality: The adaptive toolbox. Cambridge: MIT Press.
68. Gottfredson, L. (1997). Why g matters: The complexity of everyday life. Intelligence, 24, 79-132. doi:10.1016/S0160-2896(97)90014-3 http://dx.doi.org/10.1016/S0160-2896%2897%2990014-3
69. Gray, J. R., Chabris, C. F., & Braver, T. S. (2003). Neural mechanisms of general fluid intelligence. Nature Neuroscience, 6, 316-322. doi:10.1038/nn1014 http://dx.doi.org/10.1038/nn1014
70. Greenough, W. T., Black, J. E., & Wallace, C. S. (1987). Experience and brain development. Child Development, 58, 539-559. doi:10.2307/1130197 http://dx.doi.org/10.2307/1130197
71. Haier, R. J., Siegel, B., Tang, C., Abel, L., & Buchsbaum, M. S. (1992). Intelligence and changes in regional cerebral glucose metabolic rate following learning. Intelligence, 16, 415-426. doi:10.1016/0160-2896(92)90018-M http://dx.doi.org/10.1016/0160-2896%2892%2990018-M
72. Hill, K., & Hurtado, A. M. (1996). Ache life history: The ecology and demography of a foraging people. New York: Aldine de Gruyter.
73. Horn, J. L. (1968). Organization of abilities and the development of intelligence. Psychological Review, 75, 242-259. doi:10.1037/h0025662 http://dx.doi.org/10.1037/h0025662
74. Horn, J. L., & Cattell, R. B. (1966). Refinement and test of the theory of fluid and crystallized general intelligence. Journal of Educational Psychology, 57, 253-270. doi:10.1037/h0023816 http://dx.doi.org/10.1037/h0023816
75. Horowitz, D. L. (2001). The deadly ethnic riot. Berkeley: University of California Press.
76. Humphrey, N. K. (1976). The social function of intellect. In P. P. G. Bateson & R. A. Hinde (Eds.), Growing points in ethology (pp. 303-317). New York: Cambridge University Press.
77. Hunt, E. (1978). Mechanics of verbal ability. Psychological Review, 85, 109-130. doi:10.1037/0033-295X.85.2.109 http://dx.doi.org/10.1037/0033-295X.85.2.109
78. Hunter, J. E., & Hunter, R. F. (1984). Validity and utility of alternative predictors of job performance. Psychological Bulletin, 96, 72-98. doi:10.1037/0033-2909.96.1.72 http://dx.doi.org/10.1037/0033-2909.96.1.72
79. Jensen, A. R. (1982). Reaction time and psychometric g. In H. J. Eysenck (Ed.), A model for intelligence (pp. 93-132). New York: Springer-Verlag. doi:10.1007/978-3-642-68664-1_4 http://dx.doi.org/10.1007/978-3-642-68664-1_4
80. Jensen, A. R. (1992). The importance of intraindividual variation in reaction time. Intelligence, 13, 869-881.
81. Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.
82. Jensen, A. R., & Munro, E. (1979). Reaction time, movement time, and intelligence. Intelligence, 3, 121-126. doi:10.1016/0160-2896(79)90010-2 http://dx.doi.org/10.1016/0160-2896%2879%2990010-2
83. Kane, M. J., & Engle, R. W. (2002). The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective. Psychonomic Bulletin & Review, 9, 637-671. doi:10.3758/BF03196323 http://dx.doi.org/10.3758/BF03196323
84. Kaplan, H., Hill, K., Lancaster, J., & Hurtado, A. M. (2000). A theory of human life history evolution: Diet, intelligence, and longevity. Evolutionary Anthropology, 9, 156-185. doi:10.1002/1520-6505(2000)9:4<156:AID-EVAN5>3.0.CO;2-7 http://dx.doi.org/10.1002/1520-6505%282000%299:4%3C156:AID-EVAN5%3E3.0.CO;2-7
85. Kisilevsky, B. S., Hains, S. M. J., Lee, K., Xie, X., Huang, H., Ye, H. H., Zhang, K., & Wang, Z. (2003). Effects of experience on fetal voice recognition. Psychological Science, 14, 220-224. doi:10.1111/1467-9280.02435 http://dx.doi.org/10.1111/1467-9280.02435
86. Kuhl, P. K. (1994). Learning and representation in speech and language. Current Opinion in Neurobiology, 4, 812-822. doi:10.1016/0959-4388(94)90128-7 http://dx.doi.org/10.1016/0959-4388%2894%2990128-7
87. Kyllonen, P. C, & Christal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity?! Intelligence, 14, 389-433. doi:10.1016/S0160-2896(05)80012-1 http://dx.doi.org/10.1016/S0160-2896%2805%2980012-1
88. Landau, B., Gleitman, H., & Spelke, E. (1981, September 11). Spatial knowledge and geometric representations in a child blind from birth. Science, 213, 1275-1278. doi:10.1126/science.7268438 http://dx.doi.org/10.1126/science.7268438
89. Legree, P. J. (1995). Evidence for an oblique social intelligence factor established with a Likert-based testing procedure. Intelligence, 21, 247-266. doi:10.1016/0160-2896(95)90016-0 http://dx.doi.org/10.1016/0160-2896%2895%2990016-0
90. Lubinski, D. (2000). Scientific and social significance of assessing individual differences: "Sinking shafts at a few critical points." Annual Review of Psychology 51, 405-444. doi:10.1146/annurev.psych.51.1.405 http://dx.doi.org/10.1146/annurev.psych.51.1.405
91. MacDonald, K. (1992). Warmth as a developmental construct: An evolutionary analysis. Child Development, 63, 753-773. doi:10.2307/1131231 http://dx.doi.org/10.2307/1131231
92. Mackintosh, N. J., & Bennett, E. S. (2003). The fractionation of working memory maps onto different components of intelligence. Intelligence, 31, 519-531. doi:10.1016/S0160-2896(03)00052-7 http://dx.doi.org/10.1016/S0160-2896%2803%2900052-7
93. Mandler, J. M. (1992). How to build a baby: II. Conceptual primitives. Psychological Review, 99, 587-604. doi:10.1037/0033-295X.99.4.587 http://dx.doi.org/10.1037/0033-295X.99.4.587
94. Markus, H. (1977). Self schemata and processing information about the self. Journal of Personality and Social Psychology, 35, 63-78. doi:10.1037/0022-3514.35.2.63 http://dx.doi.org/10.1037/0022-3514.35.2.63
95. Matarazzo, J. D. (1972). Wechsler’s measurement and appraisal of adult intelligence (5th ed.). New York: Oxford University Press.
96. Matthews, M. H. (1992). Making sense of place: Children’s understanding of largescale environments. Savage, MD: Barnes & Noble Books.
97. Maynard Smith, J., & Price, G. R. (1973, November 2). The logic of animal conflict. Nature, 246, 15-18. doi:10.1038/246015a0 http://dx.doi.org/10.1038/246015a0
98. McCandliss, B. D., Posner, M. I., & Givón, T. (1997). Brain plasticity in learning visual words. Cognitive Psychology, 33, 88-110. doi:10.1006/cogp.1997.0661 http://dx.doi.org/10.1006/cogp.1997.0661
99. Miller, E. K., & Cohen, J. D. (2001). An integration of theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167-202. doi:10.1146/annurev.neuro.24.1.167 http://dx.doi.org/10.1146/annurev.neuro.24.1.167
100. Neubauer, A. C. (1997). The mental speed approach to the assessment of intelligence. In J. Kingma & W. Tomic (Eds.), Advances in cognition and education: Reflections on the concept of intelligence (pp. 149-173). Greenwich, CT: JAI Press.
101. Nyborg, H., & Jensen, A. R. (2001). Occupation and income related to psychometric g. Intelligence, 29, 45-55. doi:10.1016/S0160-2896(00)00042-8 http://dx.doi.org/10.1016/S0160-2896%2800%2900042-8
102. Pascalis, O., de Haan, M., & Nelson, C. A. (2002, May 17). Is face processing species-specific during the first year of life? Science, 296, 1321-1323. doi:10.1126/science.1070223 http://dx.doi.org/10.1126/science.1070223
103. Pellis, S. M., & Iwaniuk, A. N. (2000). Adult-adult play in primates: Comparative analyses of its origin, distribution and evolution. Ethology, 106, 1083-1104. doi:10.1046/j.1439-0310.2000.00627.x http://dx.doi.org/10.1046/j.1439-0310.2000.00627.x
104. Pinker, S. (1994). The language instinct. New York: William Morrow.
105. Pinker, S. (1997). How the mind works. New York: W. W. Norton.
106. Posner, M. I. (1994). Attention: The mechanisms of consciousness. Proceedings of the National Academy of Sciences USA, 91, 7398-7403. doi:10.1073/pnas.91.16.7398 http://dx.doi.org/10.1073/pnas.91.16.7398
107. Posner, M. I., Boies, S. J., Eichelman, W. H., & Taylor, R. L. (1969). Retention of visual and name codes of single letters. Journal of Experimental Psychology Monograph, 79, 1-16. doi:10.1037/h0026947 http://dx.doi.org/10.1037/h0026947
108. Potts, R. (1998). Variability selection in hominid evolution. Evolutionary Anthropology, 7, 81-96. doi:10.1002/(SICI)1520-6505(1998)7:3<81:AID-EVAN3>3.0.CO;2-A http://dx.doi.org/10.1002/%28SICI%291520-6505%281998%297:3%3C81:AID-EVAN3%3E3.0.CO;2-A
109. Prabhakaran, V., Smith, J. A. L., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1997). Neural substrates of fluid reasoning: An fMRI study of neocortical activation during performance of the Raven’s progressive matrices test. Cognitive Psychology, 33, 43-63. doi:10.1006/cogp.1997.0659 http://dx.doi.org/10.1006/cogp.1997.0659
110. Pugh, K. R., Shaywitz, B. A., Shaywitz, S. E., Shankweiler, D. P., Katz, L., Fletcher, J. M., Skudlarski, P., Fulbright, R. K., Constable, R. T., Bronen, R. A., Lacadie, C., & Gore, J. C. (1997). Predicting reading performance from neuroimaging profiles: The cerebral basis of phonological effects in printed word identification. Journal of Experimental Psychology: Human Perception and Performance, 23, 299-318. doi:10.1037/0096-1523.23.2.299 http://dx.doi.org/10.1037/0096-1523.23.2.299
111. Raichle, M. E., Fiez, J. A., Videen, T. O., MacLeod, A. M. K., Pardo, J. V., & Petersen, S. E. (1994). Practice-related changes in human brain functional anatomy during non-motor learning. Cerebral Cortex, 4, 8-26. doi:10.1093/cercor/4.1.8 http://dx.doi.org/10.1093/cercor/4.1.8
112. Raz, N., Torres, I. J., Spencer, W. D., Millman, D., Baertschi, J. C., & Sarpel, G. (1993). Neuroanatomical correlates of age-sensitive and age-invariant cognitive abilities: An in vivo MRI investigation. Intelligence, 17, 407-422. doi:10.1016/0160-2896(93)90008-S http://dx.doi.org/10.1016/0160-2896%2893%2990008-S
113. Reynolds, C. R., Chastain, R. L., Kaufman, A. S., & McLean, J. E. (1987). Demographic characteristics and IQ among adults: Analysis of the WAIS-R standardization sample as a function of the stratification variables. Journal of School Psychology, 25, 323-342. doi:10.1016/0022-4405(87)90035-5 http://dx.doi.org/10.1016/0022-4405%2887%2990035-5
114. Rosenthal, R., Hall, J. A., DiMatteo, M. R., Rogers, P. L., & Archer, D. (1979). Sensitivity to nonverbal communication: The PONS test. Baltimore, MD: Johns Hopkins University Press.
115. Rozin, P. (1976). The evolution of intelligence and access to the cognitive unconscious. In J. M. Sprague & A. N. Epstein (Eds.), Progress in psychobiology and physiological psychology (Vol. 6, pp. 245-280). New York: Academic Press.
116. Rushton, J. P., & Ankney, C. D. (1996). Brain size and cognitive ability: Correlations with age, sex, social class, and race. Psychonomic Bulletin & Review, 3, 21-36. doi:10.3758/BF03210739 http://dx.doi.org/10.3758/BF03210739
117. Scarr, S. (1992). Developmental theories of the 1990s: Developmental and individual differences. Child Development, 63, 1-19. doi:10.2307/1130897 http://dx.doi.org/10.2307/1130897
118. Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype-environment effects. Child Development, 54, 424-435.
119. Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124, 262-274. doi:10.1037/0033-2909.124.2.262 http://dx.doi.org/10.1037/0033-2909.124.2.262
120. Schneider, D. J. (1973). Implicit personality theory: A review. Psychological Bulletin, 79, 294-309. doi:10.1037/h0034496 http://dx.doi.org/10.1037/h0034496
121. Scullin, M. H., Peters, E., Williams, W. M., & Ceci, S. J. (2000). The role of IQ and education in predicting later labor market outcomes: Implications for affirmative action. Psychology, Policy, and Law, 6, 63-89. doi:10.1037/1076-8971.6.1.63 http://dx.doi.org/10.1037/1076-8971.6.1.63
122. Sheeran, P., & Orbell, S. (2000). Self-schemas and the theory of planned behaviour. European Journal of Social Psychology, 30, 533-550. doi:10.1002/1099-0992(200007/08)30:4<533:AID-EJSP6>3.0.CO;2-F http://dx.doi.org/10.1002/1099-0992%28200007/08%2930:4%3C533:AID-EJSP6%3E3.0.CO;2-F
123. Shepard, R. N. (1994). Perceptual-cognitive universals as reflections of the world. Psychonomic Bulletin & Review, 1, 2-28. doi:10.3758/BF03200759 http://dx.doi.org/10.3758/BF03200759
124. Spearman, C. (1904). General intelligence, objectively determined and measured. American Journal of Psychology, 15, 201-293. doi:10.2307/1412107 http://dx.doi.org/10.2307/1412107
125. Sperber, D. (1994). The modularity of thought and the epidemiology of representations. In L. A. Hirschfeld & S. A. Gelman (Eds.), Mapping the mind: Domain specificity in cognition and culture (pp. 39-67). New York: Cambridge University Press. doi:10.1017/CBO9780511752902.003 http://dx.doi.org/10.1017/CBO9780511752902.003
126. Sporns, O., Tononi, G., & Edelman, G. M. (2000). Connectivity and complexity: The relationship between neuroanatomy and brain dynamics. Neural Networks, 13, 909-922. doi:10.1016/S0893-6080(00)00053-8 http://dx.doi.org/10.1016/S0893-6080%2800%2900053-8
127. Stadler, M. A., & Frensch, P. A. (Eds.). (1997). Handbook of implicit learning. Thousand Oaks, CA: Sage.
128. Stanovich, K. E. (1999). Who is rational? Studies of individual differences in reasoning. Mahwah, NJ: Erlbaum.
129. Stephan, W. G. (1985). Intergroup relations. In G. Lindzey & E. Aronson (Eds.), Handbook of social psychology: Vol. II. Special fields and applications (pp. 599-658). New York: Random House.
130. Tooby, J., & Cosmides, L. (1995). Mapping the evolved functional organization of mind and brain. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (pp. 1185-1197). Cambridge: Bradford Books/MIT Press.
131. Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 1-25. doi:10.1146/annurev.psych.53.100901.135114 http://dx.doi.org/10.1146/annurev.psych.53.100901.135114
132. Vernon, P. A., Wickett, J. C, Bazana, P. G., & Stelmack, R. M. (2000). The neuropsychology and psychophysiology of human intelligence. In R. J. Sternberg (Ed.), Handbook of intelligence (pp. 245-264). Cambridge, UK: Cambridge University Press.
133. Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1994). Development of readingrelated phonological processing abilities: New evidence of bidirectional causality from a latent variable longitudinal study. Developmental Psychology, 30, 73-87. doi:10.1037/0012-1649.30.1.73 http://dx.doi.org/10.1037/0012-1649.30.1.73
134. Walberg, H. J. (1984). Improving the productivity of America’s schools. Educational Leadership, 41, 19-27.
135. Wechsler, D. (1981). Manual for the Wechsler Adult Intelligence Scale-Revised. New York: Psychological Corporation.
136. Wickett, J. C, Vernon, P. A., & Lee, D. H. (2000). Relationships between factors of intelligence and brain volume. Personality and Individual Differences, 29, 1095-1122. doi:10.1016/S0191-8869(99)00258-5 http://dx.doi.org/10.1016/S0191-8869%2899%2900258-5