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Journal of Learning Disabilities, Vol. 40, No. 6,
554-567 (2007)
DOI: 10.1177/00222194070400060601
Mathematical Ability of 10-Year-Old Boys and GirlsGenetic and Environmental Etiology of Typical and Low Performance
Yulia Kovas
Social, Genetic and Developmental Psychiatry Research Centre (SGDP), Institute of Psychiatry, London, y.kovas{at}iop.kcl .ac.uk
Claire M. A. Haworth
SGDP, Institute of Psychiatry
Stephen A. Petrill
Center for Developmental and Health Genetics at the Pennsylvania State University
Robert Plomin
Institute of Psychiatry
The genetic and environmental etiologies of 3 aspects of low mathematical performance (math disability) and the full range of variability (math ability) were compared for boys and girls in a sample of 5,348 children age 10 years (members of 2,674 pairs of same-sex and opposite-sex twins) from the United Kingdom (UK). The measures, which we developed for Web-based testing, included problems from 3 domains of mathematics taught as part of the UK National Curriculum. Using quantitative genetic model-fitting analyses, similar results were found for math disabilities and abilities for all 3 measures: Moderate genetic influence and environmental influence were mainly due to nonshared environmental factors that were unique to the individual, with little influence from shared environment. No sex differences were found in the etiologies of math abilities and disabilities. We conclude that low mathematical performance is the quantitative extreme of the same genetic and environmental factors responsible for variation throughout the distribution.
References
- Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52, 317—332.[CrossRef]
- Birnbaum, M.H. (2004). Human research and data collection via the Internet. Annual Review of Psychology, 55, 803—832.
- Collins, F.S., Euyer, M.S., & Chakravarti, A. (1997). Variations on a theme: Cataloguing human DNA sequence variation. Science, 278, 1580—1581.[Free Full Text]
- DeFries, J.C., & Fulker, D.W. (1988). Multiple regression analysis of twin data: Etiology of deviant scores versus individual differences. Acta Geneticae Medicae et Gemellologicae, 37, 205—216.
- Freeman, B., Smith, N., Curtis, C., Huckett, L., Mill, J., & Craig, I.W. (2003). DNA from buccal swabs recruited by mail: Evaluation of storage effects on long-term stability and suitability for multiplex polymerase chain reaction genotyping. Behavior Genetics, 33, 67—72.[Medline]
[Order article via Infotrieve]
- Good, R.H., III, & Salvia, J. (1988). Curriculum bias in published, norm-referenced reading tests: Demonstrable effects. School Psychology Review, 17(1), 51—60.
- Gosling, S.D., Vazire, S., Srivastava, S., & John, O.P. (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about Internet questionnaires. The American Psychologist, 59, 93—104.[CrossRef][Medline]
[Order article via Infotrieve]
- Hyde, J.S. (2005). The gender similarities hypothesis. The American Psychologist, 60, 581—592.[CrossRef][Medline]
[Order article via Infotrieve]
- Kovas, Y., Harlaar, N., Petrill, S.A., & Plomin, R. (2005). "Generalist genes" and mathematics in 7-year-old twins. Intelligence, 33, 473—489.[CrossRef]
- Kovas, Y., Petrill, S.A., & Plomin, R. (2007). The origins of diverse domains of mathematics: Generalist genes but specialist environments. Journal of Educational Psychology.99(1), 128—139.[CrossRef]
- Kraut, R., Olson, J., Banaji, M., Bruckman, A., Cohen, J., & Couper, M. (2004). Psychological research online: Report of the Board of Scientific Affairs' Advisory Group on the conduct of research on the Internet. The American Psychologist, 59, 105—117.[CrossRef][Medline]
[Order article via Infotrieve]
- Maccoby, E.E., & Jacklin, C.N. (1974). The psychology of sex di ferences. Stanford, CA: Stanford University Press.
- McGue, M., & Bouchard, T.J. (1984). Adjustment of twin data for the effects of age and sex. Behavior Genetics, 14, 325—343.[CrossRef][Medline]
[Order article via Infotrieve]
- Naglieri, J.A., Drasgow, F., Schmit, M., Handler, L., Prifitera, A., Margolis, A., et al. (2004). Psychological testing on the Internet: New problems, old issues. The American Psychologist, 59, 150—162.[CrossRef][Medline]
[Order article via Infotrieve]
- Neale, M.C. (1997). Mx: Statistical modeling. Richmond, VA: Department of Psychiatry.
- Neale, M.C., & Maes, H.H.M. (2003). Methodology for genetic studies of twins and families. Dordrecht, the Netherlands: Kluwer.
- NFER-Nelson. (1994). Maths 5—14 series. London: Author.
- NFER-Nelson. (1999). Maths 5—14 series. London: Author.
- NFER-Nelson. (2001). Maths 5—14 series. London: Author.
- Oliver, B., Harlaar, N., Hayiou-Thomas, M.E., Kovas, Y., Walker, S.O., Petrill, S.A., et al. (2004). A twin study of teacher-reported mathematics performance and low performance in 7-year-olds. Journal of Educational Psychology, 96, 504—517.[CrossRef]
- Pennington, B.F., & Olson, R.K. (2005). Genetics of dyslexia. In M. Snowling & C. Hulme (Eds.), The science of reading: A handbook (pp. 453—472). Oxford: Black-well.
- Plomin, R. (1991). Genetic risk and psychosocial disorders: Links between the normal and abnormal. In M. Rutter & P. Casaer (Eds.), Biological risk factors for psychosocial disorders (pp. 101—138). Cambridge, UK: Cambridge University Press.
- Plomin, R. (2005). Finding genes in child psychology and psychiatry: When are we going to be there? Journal of Child Psychology and Psychiatry and Allied Disciplines, 46, 1030—1038.[CrossRef][Medline]
[Order article via Infotrieve]
- Plomin, R., DeFries, J.C., McClearn, G.E., & McGuffin, P. (2001). Behavioral genetics (4th ed.). New York: Worth.
- Plomin, R., & Kovas, Y. (2005). Generalist genes and learning disabilities. Psychological Bulletin, 131, 592—617.[CrossRef][Medline]
[Order article via Infotrieve]
- Sham, P. (1998). Statistics in human genetics. London: Arnold.
- Smith, C. (1974). Concordance in twins: Methods and interpretation. American Journal of Human Genetics, 26, 454—466.[Medline]
[Order article via Infotrieve]
- Spelke, E.S. (2005). Sex differences in intrinsic aptitude for mathemaics and science? A critical review. The American Psychologist, 60, 950—958.[CrossRef][Medline]
[Order article via Infotrieve]
- Trouton, A., Spinath, F.M., & Plomin, R. (2002). Twins Early Development Study (TEDS): A multivariate longitudinal genetic investigation of language, cognition and behaviour problems in childhood. Twin Research, 5, 444—448.[CrossRef][Medline]
[Order article via Infotrieve]
- Wechsler, D. (1992). Wechsler intelligence scale for children (3rd ed.). London: Psychological Corp.

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