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  • Cited by 49
Publisher:
Cambridge University Press
Online publication date:
June 2016
Print publication year:
2016
Online ISBN:
9781316576694

Book description

Does your family make you smarter? James R. Flynn presents an exciting new method for estimating the effects of family on a range of cognitive abilities. Rather than using twin and adoption studies, he analyses IQ tables that have been hidden in manuals over the last 65 years, and shows that family environment can confer a significant advantage or disadvantage to your level of intelligence. Wading into the nature vs. nurture debate, Flynn banishes the pessimistic notion that by the age of seventeen, people's cognitive abilities are solely determined by their genes. He argues that intelligence is also influenced by human autonomy - genetics and family notwithstanding, we all have the capacity to choose to enhance our cognitive performance. He concludes by reconciling this new understanding of individual differences with his earlier research on intergenerational trends (the 'Flynn effect') culminating in a general theory of intelligence.

Awards

Honourable Mention, 2017 PROSE Award for Psychology

Reviews

'Another superb piece of work by the best mind in the business. The analysis of data is penetrating, the elaboration of its meaning highly illuminating, and the discourse on theories of intelligence is a feast for the mind.'

Thomas J. Bouchard, Jr

'Another amazing analysis of IQ data by James Flynn! As author of the Stanford-Binet 5, I have admired Flynn’s work for many years. I highly recommend his new book that shines new light on the life-course of intelligence.'

Gale H. Roid - author of the Stanford-Binet Intelligence Scale, 5th edition

'James Flynn takes up one of the most important questions in the social sciences - what is left of human autonomy in the genomic age? - and lays out the optimistic case with full acknowledgment of the technical difficulties his argument must surmount. This is the way that we are going to make progress: by engaging an evolving state of knowledge with logic and data, transparently clear prose, and unfailing civility.'

Charles Murray - co-author of The Bell Curve

'Few intellectuals have grappled honestly with the problems surrounding the causes and effects of intelligence, and fewer still have done so with as much incisiveness and originality as James Flynn.'

Steven Pinker - Harvard University, Massachusetts

'Professor Flynn has a remarkable ability to explain complex concepts in a way so rational and logical that it seems, after the event, we should be kicking ourselves for overlooking the obvious. His chapter on the Raven’s Progressive Matrices is brilliant.'

John Rust - Director of The Psychometrics Centre, University of Cambridge, and co-author of Raven’s Progressive Matrices

'James Flynn, as much as anyone, can take credit for ushering in the age of enlightenment in our understanding of the nature of human intelligence. In this latest chapter, we learn how our families can either advantage or disadvantage us, and how our choices can either foster or impede our intellectual performance.'

Joshua Aronson - New York University

'This is a brilliant book that anyone will want to read who is even remotely interested in intelligence and what variables affect it. Its take-home message is extremely powerful for people of any age - that they have serious control over their intelligence through the environments they select …'

Robert J. Sternberg Source: PsycCRITIQUES

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Contents

References
Ackerman, P. L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence 22: 227–57.
Adam, S., Bonsang, E., Germain, S., and Perelman, S. (2007). Retirement and cognitive reserve: A stochastic frontier approach to survey data. CREPP Working Paper 2007/04.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist 28: 117–48.
Barbey, A. K., Colum, R., Paul, E. J., Chau, A., Solomon, J., and Grafman, J. H. (2014). Lesion mapping of social problem solving. Brain 137: 2823–33.
Bouchard, Thomas J. (2013). The Wilson effect: The increase in heritability of IQ with age. Twin Research and Human Genetics 16: 923–30.
Capron, C., and Duyme, M. (1989). Assessment of the effects of socio-economic status on IQ in a full cross-fostering study. Nature 340: 552–4.
Carroll, John B. (1993). Human Cognitive Abilities: A Survey of Factor-Analytic Studies. Cambridge University Press.
Cattell, R. B. (1941). Some theoretical issues in adult intelligence testing. Psychological Bulletin 38: 592.
Colum, R. (2014). All we need is brain (and technology). Journal of Intelligence 2: 26–8.
Coyle, T. R. and Pillow, D. R. (2008). SAT and ACT predict college GPA after removing “g”. Intelligence 36: 719–29.
Das, J. P. (2002). A better look at intelligence. Current Directions in Psychology 11: 28–32.
Das, J. P., Naglieri, J. A., and Kirby, J. R. (1994). Assessment of Cognitive Processes. Needham Heights, MA: Allyn & Bacon.
Deary, I. J., Penke, L., and Johnson, W. (2010). The neuroscience of human intelligence differences. Nature Reviews Neuroscience 11: 201–11.
Dickens, W. T., and Flynn, J. R. (2001). Heritability estimates versus large environmental effects: The IQ paradox resolved. Psychological Review 108: 346–69.
Duckworth, A. L., and Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science 16: 939–44.
Duyme, M. (1981). Les Enfants abandonnés. Rôle des familles adoptives et des assistantes maternelles. Paris: CNRS.
Flanagan, D. P. (2014). Cross-battery assessment: A pattern of strengths and weaknesses approach to SLD identification (10/15/2014). Available at www.nyasp.biz/conf_2014_files/Flanagan%20-%20Nov%205.pdf (accessed December 31, 2015).
Flanagan, D. P., Ortiz, S. O., and Alfonso, V. C. (2013). Essentials of Cross-Battery Assessment (3rd edn.). New York: Wiley.
Flynn, J. R. (1984). The mean IQ of Americans: Massive gains 1932 to 1978. Psychological Bulletin 95: 29–51.
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin 101: 171–91.
Flynn, J. R. (2000). IQ gains and fluid g. American Psychologist 55: 534.
Flynn, J. R. (2007). What Is Intelligence? Beyond the Flynn Effect. New York: Cambridge University Press.
Flynn, J. R. (2008). Where Have all the Liberals Gone? Race, Class and Ideals in America. Cambridge University Press.
Flynn, J. R. (2009). Howard Gardner and the use of words. In Shearer, B. (ed.), MI at 25: Assessing the Impact and Future of Multiple Intelligences for Teaching and Learning (pp. 38–44). New York: Teachers College Press.
Flynn, J. R. (2012a). Are We Getting Smarter? Rising IQ in the Twenty-First Century. New York: Cambridge University Press.
Flynn, J. R. (2012b). Beyond Patriotism: From Truman to Obama. Exeter: Imprint Academic.
Flynn, J. R. (2013). Intelligence and Human Progress: The Story of What Was Hidden in Our Genes. London: Elsevier.
Flynn, J. R. (2015). Senza alibi: Il cambiamento climatico – impedire la catastrophe [No place to hide: Spend an evening to learn about climate change].Turin: Bollati Boringhieri.
Flynn, J. R., te Nijenjhuis, J., and Metzen, D. (2014). The g beyond Spearman's g: Flynn's paradoxes resolved using four exploratory meta-analyses. Intelligence 44: 1–10.
Foulds, G. A., and Raven, J. C. (1948). Normal changes in the mental abilities of adults as age advances. Journal of Mental Science 94: 133–42.
Fox, M. C., and Mitchum, A. L. (2013). A knowledge-based theory of rising scores on “culture-free” tests. Journal of Experimental Psychology: General 142: 979–1000.
Fox, M. C., and Mitchum, A. L. (2014). Confirming the cognition of rising scores: Fox and Mitchum (2013) predicts violations of measurement invariance in series completion between age-matched cohorts. PLoS One 9(5): e95780.
Gardner, H. (1983). Frames of Mind: The Theory of Multiple Intelligences. New York: Basic Books.
Gardner, H. (1993). Multiple Intelligences: The Theory in Practice, a Reader. New York: Basic Books.
Gardner, H. (1999). Intelligence Reframed: Multiple Intelligences for the 21st Century. New York: Basic Books.
Gardner, H. (2009). Reflections on my works and those of my commentators. In Shearer, B. (ed.), MI at 25: Assessing the Impact and Future of Multiple Intelligences for Teaching and Learning (pp. 83–99). New York: Teachers College Press.
Haworth, C. M. A., Wright, M. J., Luciano, M., Martin, N. G., de Geus, E. J. C., van Beijsterveldt, C. E M., Bartels, M., Posthuma, D., Boomsma, D. I., Davis, O. S. P., Kovas, Y., Corley, R. P., DeFries, J. C., Hewitt, J. K., Olson, R. K., Rhea, S.-A., Wadsworth, S. J., Iacono, W. G., McGue, M., Thompson, L. A., Hart, S. A., Petrill, S. A., Lubinski, D., and Plomin, R. (2010). The heritability of general cognitive ability increases linearly from childhood to young adulthood. Molecular Psychiatry 15: 1112–20.
Heckman, J. J., and Rubenstein, Y. (2001). The importance of non-cognitive skills: Lessons from the GED testing program. The American Economic Review 91: 145–9.
Heckman, J. J., Stixrud, J., and Urzua, S. (2006). The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior. NBER Working Paper No. 12006.
Herrnstein, R. J., and Murray, C. (1994). The Bell Curve: Intelligence and Class in American Life. New York: Free Press.
Horn, J. L. (1965). Fluid and crystallized intelligence: A factor analytic study of the structure among primary mental abilities. Ph.D. thesis. University of Illinois.
Human Brain Project, The (2014). The Vital Role of Neuroscience in the Human Brain Project (9 July). Available at www.humanbrainproject.eu/documents/10180/17646/HBP-Statement.090614.pdf (accessed December 31, 2015).
Jensen, A. R. (1970). The heritability of intelligence. Science and Engineering 33: 40–3.
Jensen, A. R. (1980). Bias in Mental Testing. London: Methuen.
Jensen, A. R. (1998). The g Factor: The Science of Mental Ability. Westport, CT: Praeger.
Kelly, R., and Caplan, J. (1993). How Bell Labs creates star performers. Harvard Business Review (July–August): 128–39.
Kendler, K. S., Turkheimer, E., Ohlsson, H., Sundquist, J., and Sundquist, K. (2015). The family environment and the malleability of intelligence: A Swedish national home-reared and adopted-away co-sibling control study. Proceedings of the National Academy of Sciences 112: 4612–17.
Khaleefa, O., Sulman, A., and Lynn, R. (2009). The increase of intelligence in the Sudan, 1987–2007. Personality and Individual Differences 45: 412–13.
McGrew, K. S. (2005). The Cattell-Horn-Carroll theory of cognitive abilities: Past, present, and future. In Flanagan, D. P., Genshaft, J. L., and Harrison, P. L. (eds.), Contemporary Intellectual Assessment: Theories, Tests, and Issues (pp. 136–82). New York: Guilford.
McGue, M., Bouchard, T. J. Jr., Iacono, W. G., and Lykken, D. T. (1993). Behavioral genetics of cognitive ability: A life-span perspective. In Plomin, R., and McClearn, G. E. (eds.), Nature, Nurture, and Psychology (pp. 59–76). Washington, DC: American Psychological Association.
Meisenberg, G. (2014). What are the causes of cognitive evolution? A critique and extension of psychogenetic theory. Mankind Quarterly 54: 326–8.
Nisbett, R. E. (2009). Intelligence and How to Get It: Why Schools and Cultures Count. New York: Norton.
Nisbett, R. E. (2015). Mindware: Tools for Smart Thinking. New York: Farrar, Straus and Giroux.
Oesterdiekhoff, G. W. (2012). Was pre-modern man a child? The quintessence of the psychometric and developmental approaches. Intelligence 40: 470–8.
Pinker, S. (2002). The Blank Slate: The Modern Denial of Human Nature. London: Penguin.
Raven, J. (2000). The Raven's Progressive Matrices: Change and stability over culture and time. Cognitive Psychology 41: 1–48.
Raven, J., Raven, J. C., and Court, J. H. (2003, updated 2004). Manual for Raven's Progressive Matrices and Vocabulary Scales. San Antonio, TX: Harcourt.
Raven, J., Rust, J., and Squire, A. (2008a). Manual: Coloured Progressive Matrices and Crichton Vocabulary Scales. London: Pearson.
Raven, J., Rust, J., and Squire, A. (2008b). Raven's Standard Progressive Matrices (SPM) and Raven's Standard Progressive Matrices Plus (SPM Plus). London: Pearson.
Raven, J. C. (1941). Standardization of progressive matrices. British Journal of Medical Psychology 19: 137–50.
Raven, J. C., Court, J. H., and Raven, J. (1976). Manual for Raven's Progressive Matrices and Vocabulary Scales. London: Lewis.
Raven, J. C., Court, J. H., and Raven, J. (1986). Manual for Raven's Progressive Matrices and Vocabulary Scales. London: H. K. Lewis.
Ritchie, S. J., Bates, T. C., and Deary, I. J. (2015). Is education associated with improvements in general cognitive ability, or in specific skills?Developmental Psychology 51: 573–82.
Roid, G. H. (2003). Stanford-Binet Intelligence Scales: Fifth Edition. Itasca, IL: Riverside.
Santarnecchi, E., Polizzotto, N. R., Godone, M., Giovannelli, F., Feurra, M., Matzen, L., Rossi, A., and Rossi, S. (2013). Frequency-dependent enhancement of fluid intelligence induced by transcranial oscillatory potentials. Current Biology 23: 1449–53.
Schiff, M., Duyme, M., Stewart, J., Tomkiewicz, S., and Feingold, J. (1978). Intellectual status of working-class children adopted early in upper-class families. Science 2000, 1503–4.
Schneider, W. J., and McGrew, K. S. (2012). The Cattell-Horn-Carroll model of intelligence. In Flanagan, D. and Harrison, P. (eds.), Contemporary Intellectual Assessment: Theories, Tests, and Issues (3rd edn., pp. 99–144). New York: Guilford.
Staff, R. T., Hogan, M. F., and Whalley, L. J. (2014). Ageing trajectories of fluid intelligence in late life: The influence of age, practice and childhood IQ on Raven's Progressive Matrices. Intelligence 47: 194–201.
Sternberg, R. J. (1988). The Triarchic Mind: A New Theory of Human Intelligence. New York: Penguin.
Sternberg, R. J. (1997). Successful Intelligence: How Practical and Creative Intelligence Determine Success in Life. New York: Plume.
Sternberg, R. J. (2006). The Rainbow Project: Enhancing the SAT through assessments of analytic, practical, and creative skills. Intelligence 34: 321–50.
Sternberg, R. J., Forsythe, G. B., Hedlund, J., Horvath, J. A., Wagner, R. K., Williams, W. M., Snook, S. A., and Grigorenko, E. L. (2000). Practical intelligence in everyday life. New York: Cambridge University Press.
Thorndike, R. L., Hagen, E. P., and Sattler, J. M. (1986). Stanford-Binet Intelligence Scale: Fourth Edition. Chicago: Riverside.
US National Institute of Health (2014). BRAIN 2025: A scientific vision. BRAIN Working Group report to the Advsiory Committee to the Director, NIH, June 5, 2014. Washington, DC. Available at www.braininitiative.nih.gov/2025 (accessed December 31, 2015).
van der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., and Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review 113: 842–61.
Wechsler, D. (1949). Wechsler Intelligence Scale for Children: Manual. New York: The Psychological Corporation.
Wechsler, D. (1955). Wechsler Adult Intelligence Scale: Manual. New York: The Psychological Corporation.
Wechsler, D. (1974). Wechsler Intelligence Scale for Children – Revised. New York: The Psychological Corporation.
Wechsler, D. (1981). Wechsler Adult Intelligence Scale – Revised. New York: The Psychological Corporation.
Wechsler, D. (1989). Wechsler Preschool and Primary Scale of Intelligence – Revised. San Antonio, TX: The Psychological Corporation.
Wechsler, D. (1992). Wechsler Intelligence Scale for Children – Third Edition: Manual (Australian Adaptation). San Antonio, TX: The Psychological Corporation.
Wechsler, D. (1997). Wechsler Adult Intelligence Scale – Third Edition: Manual. San Antonio, TX: Pearson.
Wechsler, D. (2002). Wechsler Preschool and Primary Scale of Intelligence – Third Edition: Manual. San Antonio, TX: Pearson.
Wechsler, D. (2003). Wechsler Intelligence Scale for Children – Fourth Edition: Manual. San Antonio, TX: The Psychological Corporation.
Wechsler, D. (2008). Wechsler Adult Intelligence Scale – Fourth Edition: Manual. San Antonio, TX: Pearson.
Wood, R. E., and Bandura, A. (1989). Impact of conceptions of ability on self-regulatory mechanisms and complex decision-making. Journal of Personality and Social Psychology 56: 407–15.
Woodley, M. A. (2012a). A life history model of the Lynn-Flynn effect. Personality and Individual Differences 53: 152–6.
Woodley, M. A. (2012b). The social and scientific temporal correlates of genotypic intelligence and the Flynn effect. Intelligence 40: 189–204.
Woodley, M. A., Figueredo, A. J., Ross, K. C., and Brown, S. D. (2013). Four successful tests of the cognitive differentiation-integration effort hypothesis. Intelligence 41: 832–42.

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