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Chapter 2 - Hereditary Ability: g Is Driven by Experience-Producing Drives

Published online by Cambridge University Press:  06 January 2018

By
Thomas J. Bouchard
Edited by
Robert J. Sternberg
Robert J. Sternberg
Affiliation:
Cornell University, New York
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The Nature of Human Intelligence , pp. 15 - 29
Publisher: Cambridge University Press
Print publication year: 2018

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References

Anastasi, A. (1958). Heredity, environment, and the question “how?” Psychological Review, 65, 197–208. doi:10.1037/h0044895.CrossRefGoogle ScholarPubMed
Arneson, J. J., Sackett, P. R., & Beatty, A. S. (2011). Ability–performance relationships in education and employment settings: Critical tests of the more-is-better and the good-enough hypotheses. Psychological Science, 22(10), 1336–1342. doi:10.1177/0956797611417004.CrossRefGoogle ScholarPubMed
Bartholomew, D. J. (2004). Measuring intelligence: Facts and fallacies. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Bergen, S. E., Gardner, C. O., & Kendler, K. S. (2007). Age-related changes in heritability of behavioral phenotypes over adolescence and young adulthood: A meta-analysis. Twin Research and Human Genetics, 10(3), 423–433. doi:10.1375/twin.10.3.423.CrossRefGoogle Scholar
Boas, F. (1912). Changes in the bodily form of descendants of immigrants. American Anthropologist, 14, 530–562.CrossRefGoogle Scholar
Borsboom, D. (2013). Theoretical amnesia. Centre for Open Science. Retrieved from: http://centerforopenscience.github.io/osc/2013/11/20/theoretical-amnesia/.Google Scholar
Bouchard, T. J., Jr. (1995). Breaking the last taboo. Review of “The Bell Curve.” Contemporary Psychology, 40, 415–421.CrossRefGoogle Scholar
Bouchard, T. J. (1996). Behavior genetic studies of intelligence, yesterday and today: The long journey from plausibility to proof – the Galton lecture. Journal of Biosocial Science, 28, 527–555. doi:10.1017/S0021932000022574.CrossRefGoogle Scholar
Bouchard, T. J. (2004). Genetic influence on human psychological traits: A survey. Current Directions in Psychological Science, 13, 149–151.CrossRefGoogle Scholar
Bouchard, T. J. (2009). Strong inference: A strategy for advancing psychological science. In McCartney, K. & Weinberg, R. (Eds.), Experience and development: A festschrift in honor of Sandra Wood Scarr (pp. 39–59). London: Taylor and Francis.Google Scholar
Bouchard, T. J. (2013). The Wilson effect: The increase in heritability of IQ with age. Twin Research and Human Genetics, 16, 923–930. doi:10.1017/thg.2013.54.CrossRefGoogle ScholarPubMed
Bouchard, T. J. (2014). Genes, evolution and intelligence. Behavior Genetics, 44, 549–577. doi:10.1007/s10519-014-9646-x.CrossRefGoogle ScholarPubMed
Bouchard, T. J. (2016a). Experience producing drive theory: Personality “writ large.” Personality and Individual Differences, 90, 302–314. doi:10.1016/j.paid.2015.11.007.CrossRefGoogle Scholar
Bouchard, T. J. (2016b). Genes and behavior: Nature via nurture. In Sternberg, R. J., Fiske, S. T., & Foss, D. (Eds.), Scientists making a difference: One hundred eminent behavioral and brain scientists talk about their most important contributions. Cambridge: Cambridge University Press.Google Scholar
Bouchard, T. J., Jr., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (1990a). Sources of human psychological differences: The Minnesota Study of Twins Reared Apart. Science, 250(4978), 223–228. doi:10.1126/science.2218526.CrossRefGoogle ScholarPubMed
Bouchard, T. J., Jr., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (1990b). When kin correlations are not squared. Science, 250, 1498.CrossRefGoogle Scholar
Bouchard, T. J., Jr., & McGee, M. (1977). Sex differences in human spatial ability: Not an X-linked recessive gene effect. Social Biology, 24, 225–232.Google ScholarPubMed
Burks, B. S. (1938). On the relative contributions of nature and nurture to average group differences in intelligence. Proceedings of the National Academy of Sciences, 24, 276–282.CrossRefGoogle ScholarPubMed
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.CrossRefGoogle Scholar
Bouchard, T. J., Jr., Lykken, D. T., McGue, M., Segal, N. L., & Tellegen, A. (2003). The higher-stratum structure of cognitive abilities: Current evidence supports g and about ten broad factors. In Nyborg, H. (Ed.), The science of general intelligence: Tribute to Arthur R. Jensen (pp. 5–22). Oxford: Elsevier.Google Scholar
Colom, R. (2014). From the earth to the brain. Personality and Individual Differences, 61–62, 3–6. doi:10.1016/j.paid.2013.12.025.CrossRefGoogle Scholar
Coyle, T. R. (2015). Relations among general intelligence (g), aptitude tests, and GPA: Linear effects dominate. Intelligence, 53, 16–22. doi:10.1016/j.intell.2015.08.005.CrossRefGoogle Scholar
Crede, M., Tynan, M. C., & Harms, P. D. (2016). Much ado about grit: A meta-analytic synthesis of the grit literature. Journal of Personal Social Psychology, doi:10.1037/pspp0000102.Google ScholarPubMed
Dorfman, D. D. (1979). The Cyril Burt question: New findings. Science, 201, 1177–1186.CrossRefGoogle Scholar
Fancher, R. E. (1987). Henry Goddard and the Kallikak family photographs: “Conscious skullduggery” or “Whig history”? American Psychologist, 42, 585–590.CrossRefGoogle ScholarPubMed
Galton, F. (1869/1914). Hereditary genius: An inquiry into its laws and consequences. London: Macmillan.CrossRefGoogle Scholar
Galton, F. (1892/1962). Hereditary genius: An inquiry into its laws and consequences (with an introduction by C. D. Darlington). Cleveland, OH, and New York: World Publishing Company.Google Scholar
Gignac, G. E. (2015). Raven’s is not a pure measure of general intelligence: Implications for g factor theory and the brief measurement of g. Intelligence, 50, 71–79. doi:10.1016/j.intell.2015.07.006.CrossRefGoogle Scholar
Glenn, S. S., & Ellis, J. (1988). Do the Kallikaks look “menacing” or “retarded”? American Psychologist, 43, 742–743.CrossRefGoogle Scholar
Gottfredson, L. S. (1994, Tuesday, December 3). Mainstream science on intelligence. Wall Street Journal.Google Scholar
Gottfredson, L. S. (1997). Editorial: Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography. Intelligence, 24, 13–24.CrossRefGoogle Scholar
Gottfredson, L. S. (2011). Intelligence and social inequality: Why the biological link? In Chamorro-Premuzic, T., von Stumm, S., & Furnham, A. (Eds.), The Wiley-Blackwell handbook of individual differences. Malden, MA: Wiley-Blackwell.Google Scholar
Gould, S. J. (1981). The mismeasure of man. New York: W. W. Norton.Google Scholar
Gould, S. J. (1996). The mismeasure of man (2nd edn.). New York: Norton.Google Scholar
Gustafsson, J. (1984). A unifying model for the structure of intellectual abilities. Intelligence, 8, 179–203.CrossRefGoogle Scholar
Guttman, L., & Levey, S. (1991). Two structural laws for intelligence tests. Intelligence, 15, 79–103.CrossRefGoogle Scholar
Haier, R. J. (2017). The neuroscience of intelligence. New York: Cambridge University Press.Google Scholar
Hambrick, D. Z., Macnamara, B. N., Campitelli, G., Ullén, F., & Mosing, M. A. (2016). Beyond born versus made: A new look at expertise. In Ross, B. H. (Ed.), The psychology of learning and motivation (Vol. 64, pp. 1–55). Elsevier Academic Press.Google Scholar
Hayes, K. J. (1962). Genes, drives, and intellect. Psychological Reports, 10, 299–342. doi:10.2466/pr0.1962.10.2.299.CrossRefGoogle Scholar
Johnson, W., & Bouchard, T. J., Jr. (2005a). Constructive replication of the visual-perceptual-image rotation model in Thurstone’s (1941) battery of 60 tests of mental ability. Intelligence, 33, 417–430.CrossRefGoogle Scholar
Johnson, W., & Bouchard, T. J. (2005b). The structure of human intelligence: It’s Verbal, Perceptual, and Image Rotation (VPR), not Fluid Crystallized. Intelligence, 33, 393–416. doi:10.1016/j.intell.2004.12.002.CrossRefGoogle Scholar
Johnson, W., & Bouchard, T. J. (2011). The MISTRA data: Forty-two mental ability tests in three batteries. Intelligence, 39(2–3), 82–88. doi:10.1016/j.intell.2011.02.010.CrossRefGoogle Scholar
Johnson, W., & Bouchard, T. J. (2014). Genetics of intellectual and personality traits associated with creative genius: Could geniuses be Cosmobian Dragon Kings?. In Simonton, D. K. (Ed.), The Wiley handbook of genius (pp. 269–296). Oxford: Wiley.Google Scholar
Johnson, W., te Nijenhuis, J., & Bouchard, T. J., Jr. (2007). Replication of the hierarchical visual-perceptual-image rotation model in de Wolff and Buiten’s (1963) battery of 46 tests of mental ability. Intelligence, 35, 69–81. doi:10.1016/j.intell.2006.05.002.CrossRefGoogle Scholar
Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. doi:10.1007/bf02289343.CrossRefGoogle Scholar
Kamin, L. J. (1974). The science and politics of IQ. Potomac, MD: Erlbaum.Google Scholar
King, D. B., Montanez-Raminez, L. M., & Wertheimer, M. (1996). Barbara Stoddard Burks: Pioneer behavioral geneticist and humanitarian. In Kimble, G. A., Boneay, C. A., & Wertheimer, M. (Eds.), Portraits of pioneers in psychology; Volume II (pp. 213–225). Washington, DC: American Psychological Association.Google Scholar
Kong, A., Frigge, M. L., Thorleifsson, G., Stefansson, H., Young, A. I., Zink, F., ... Stefansson, K. (2017). Selection against variants in the genome associated with educational attainment. Proceedings of the National Academy of Science USA, 114(5), E727–E732. doi:10.1073/pnas.1612113114.CrossRefGoogle ScholarPubMed
Korb, K. B. (1994). Stephen Jay Gould on intelligence. Cognition, 52(2), 111–123.CrossRefGoogle Scholar
Lee, J. J., & Kuncel, N. R. (2015). The determinacy and predictive power of common factors. Industrial and Organizational Psychology, 8(03), 467–472. doi:10.1017/iop.2015.64.CrossRefGoogle Scholar
Lewis, J. E., Degusta, D., Meyer, M. R., Monge, J. M., Mann, A. E., & Holloway, R. L. (2011). The mismeasure of science: Stephen Jay Gould versus Samuel George Morton on skulls and bias. PLoS Biology, 9(6), e1001071. doi:10.1371/journal.pbio.1001071.CrossRefGoogle Scholar
Lotz, C., Sparfeldt, J. R., & Greiff, S. (2016). Complex problem solving in educational contexts – Still something beyond a “good g”? Intelligence. doi:10.1016/j.intell.2016.09.001.CrossRefGoogle Scholar
Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification and development. Personality and Individual Differences, 49, 344–351. doi:10.1016/j.paid.2010.03.022.CrossRefGoogle Scholar
Lynch, M., & Walsh, B. (1998). Genetics and analysis of quantitative traits. Sunderland, MA: Sinauer.Google Scholar
Mackintosh, N. J. (Ed.) (1995). Cyril Burt: Fraud or framed. Oxford: Oxford University Press.CrossRefGoogle Scholar
Major, J. T., Johnson, W., & Bouchard, T. J., Jr. (2011). The dependability of the general factor of intelligence: Why small, single-factor models do not adequately represent g. Intelligence, 39, 418–433. doi:10.1016/j.intell.2011.07.002.CrossRefGoogle Scholar
Major, J. T., Johnson, W., & Deary, I., J. (2012). Comparing models of intelligence in Project TALENT: The VPR model fits better than the CHC and extended Gf–Gc models. Intelligence, 40, 543–559. doi:10.1016/j.intell.2012.07.006.CrossRefGoogle Scholar
Makel, M. C., Kell, H. J., Lubinski, D., Putallaz, M., & Benbow, C. P. (2016). When lightning strikes twice: Profoundly gifted, profoundly accomplished. Psychological Science, 27(7), 1004–1018. doi:10.1177/0956797616644735CrossRefGoogle ScholarPubMed
Martin, N. G., Eaves, L. J., Heath, A. C., Jardine, R., Feingold, L. M., & Eysenck, H. J. (1986). Transmission of social attitudes. Proceedings of the National Academy of Science USA, 83(12), 4364–4368.CrossRefGoogle ScholarPubMed
McNemar, Q. (1964). Lost: Our intelligence? Why? American Psychologist, 19, 871–882.CrossRefGoogle Scholar
Meehl, P. E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46, 806–834.CrossRefGoogle Scholar
Muller, C. B., Ride, S. M., Fouke, J., Whitney, T., Denton, D. D., Cantor, N., ... Robinson, S. (2005). Gender differences and performance in science. Science, 307(5712), 1043. doi:10.1126/science.307.5712.1043b.CrossRefGoogle ScholarPubMed
Pearson, . (1914–1930). The life, letters and labours of Francis Galton, Volume 1. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Pinker, S. (2002). The blank slate: The modern denial of human nature. New York: Viking.Google Scholar
Platt, J. R. (1964). Strong inference. Science, 146, 347–353.CrossRefGoogle ScholarPubMed
Polderman, T. J. C., Benyamin, B., De Leeuw, C. A., Sullivan, P. F., Van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47, 702–709. doi:10.1038/ng.3285.CrossRefGoogle ScholarPubMed
Ponsoda, V., Martinez, K., Pineda-Pardo, J. A., Abad, F. J., Olea, J., Roman, F. J., ... Colom, R. (2016). Structural brain connectivity and cognitive ability differences: A multivariate distance matrix regression analysis. Human Brain Mapping. doi:10.1002/hbm.23419.Google ScholarPubMed
Protzko, J. (2016). Does the raising IQ–raising g distinction explain the fadeout effect? Intelligence, 56, 65–71. doi:10.1016/j.intell.2016.02.008.CrossRefGoogle Scholar
Reeve, C. L., & Blacksmith, N. (2009). Identifying g: A review of current factor analytic practices in the science of mental ability. Intelligence, 37, 487–494. doi:10.1016/j.intell.2009.06.002.CrossRefGoogle Scholar
Reeve, C. L., & Charles, J. E. (2008). Survey of opinions on the primacy of g and social consequences of ability testing: A comparison of expert and non-expert views. Intelligence, 36(6), 681–688. doi:10.1016/j.intell.2008.03.007.CrossRefGoogle Scholar
Rushton, J. P. (1997). Race, intelligence, and the brain: The errors and omissions of the “revised” edition of S. J. Gould’s The mismeasure of man (1996). Personality and Individual Differences, 23, 169–180.CrossRefGoogle Scholar
Salthouse, T. A. (2013). Evaluating the correspondence of different cognitive batteries. Assessment. doi:10.1177/1073191113486690.Google ScholarPubMed
Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype -> environment effects. Child Development, 54, 424–435. doi:10.2307/1129703.Google Scholar
Scarr, S., & Weinberg, R. A. (1978). The influence of “family background” on intellectual attainment. American Sociological Review, 43, 674–692.CrossRefGoogle Scholar
Scott, J. P. (1990). Foreword. In Hahn, M. E., Hewitt, J. K., Henderson, N. D., & Benno, R. H. (Eds.), Developmental behavior genetics: Neural, biometrical, and evolutionary approaches. New York: Oxford.Google Scholar
Segal, N. L. (2012). Born together–reared apart: The landmark Minnesota twin study. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Segal, N. L. (2017). Twin mythconceptions: False beliefs, fables, and facts about twins. New York: Academic Press.Google Scholar
Selzam, S., Krapohl, E., Von Stumm, S., O’Reilly, P. F., Rimfeld, K., Kovas, Y., ... Plomin, R. (2016). Predicting educational achievement from DNA. Molecular Psychiatry, 22(2), 267–272. doi:10.1038/mp.2016.107.CrossRefGoogle ScholarPubMed
Shermer, M. B. (2002). Stephen Jay Gould as historian of science and scientific historian, popular scientist and scientific popularizer. Social Studies of Science, 32, 489–525.Google Scholar
Simonton, D. K. (2016). Intelligence, inheritance, motivation, and expertise. Review of Grit: The power of passion and perseverance, A. Duckworth, and Peak: Secrets from the new science of expertise, A. Ericsson & R. Pool. Intelligence, 58, 80–81. doi:10.1016/j.intell.2016.05.005.CrossRefGoogle Scholar
Sparks, C. S., & Jantz, R. L. (2002). A reassessment of human cranial plasticity: Boas revisited. Proceedings of the National Academy of Sciences, 99(23), 14636–14639. doi:10.1073/pnas.222389599.CrossRefGoogle ScholarPubMed
Spearman, C. (1904). General intelligence: Objectively determined and measured. American Journal of Psychology, 15, 201–293.CrossRefGoogle Scholar
Tooby, J., & Cosmides, L. (2015). The theoretical foundations of evolutionary psychology. In Buss, D. M. (Ed.), The handbook of evolutionary psychology, second edition (Vol. Volume 1: Foundations, pp. 3–87). Hoboken, NJ: Wiley.Google Scholar
Tredoux, G. (2015). Defrauding Cyril Burt: A reanalysis of the social mobility data. Intelligence, 49, 32–43. doi:10.1016/j.intell.2014.12.002.CrossRefGoogle Scholar
Tuddenham, R. D. (1962). The nature and measurement of intelligence. In Postman, L. (Ed.), Psychology in the making: Histories of selected research problems (pp. 469–525). New York: Knopf.Google Scholar
Zenderland, L. (1988). On interpreting photographs, faces and the past. American Psychologist, 42, 743–744.CrossRefGoogle Scholar

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