Abstract
Among some gifted education researchers, advocates, and practitioners, it is sometimes believed that there is a larger number of gifted people in the general population than would be predicted from a normal distribution (e.g., Gallagher, 2008; N. M. Robinson, Zigler, & Gallagher, 2000; Silverman, 1995, 2009), a belief that we termed the “overabundance hypothesis.” We tested this hypothesis by searching public datasets and the published literature for large representative datasets, 10 of which were found in 6 sources. Results indicated that the overabundance hypothesis was mostly unsupported by the data. Moreover, most datasets included approximately the same (or fewer) gifted individuals than would be predicted from a normal distribution. We conclude the article by exploring the theoretical reasons why the overabundance is likely untrue and why some might believe otherwise.
|
Bock, R. D., Moore, E. G. J. (1984). Profile of American youth: Demographic influences on ASVAB test performance. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/a215830.pdf Google Scholar | |
|
Burt, C. (1917). The distribution and relations of educational abilities. London, England: P.S. King. Google Scholar | |
|
Burt, C. (1921). Mental and scholastic tests. London, England: P.S. King. Google Scholar | |
|
Burt, C. (1957). Distribution of intelligence. British Journal of Psychology, 48, 161-175. doi:10.1111/j.2044-8295.1957.tb00614.x Google Scholar | Crossref | Medline | ISI | |
|
Burt, C. (1963). Is intelligence distributed normally? British Journal of Statistical Psychology, 16, 175-190. doi:10.1111/j.2044-8317.1963.tb00208.x Google Scholar | Crossref | ISI | |
|
Cayton, T. (2008, November). Wechsler’s “ability to an extraordinary degree”: Extended norms on the WISC-IV. Paper presented at the meeting of the National Association for Gifted Children, Tampa, FL. Google Scholar | |
|
Deary, I. J., Thorpe, G., Wilson, V., Starr, J. M., Whalley, L. J. (2003). Population sex differences in IQ at age 11: The Scottish mental survey 1932. Intelligence, 31, 533-542. doi:10.1016/s0160-2896(03)00053-9 Google Scholar | Crossref | ISI | |
|
Deary, I. J., Whiteman, M. C., Starr, J. M., Whalley, L. J., Fox, H. C. (2004). The impact of childhood intelligence on later life: Following up the Scottish Mental Surveys of 1932 and 1947. Journal of Personality and Social Psychology, 86, 130-147. doi:10.1037/0022-3514.86.1.130 Google Scholar | Crossref | Medline | ISI | |
|
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101, 171-191. doi:10.1037/h0090408 Google Scholar | Crossref | ISI | |
|
Gallagher, J. J. (2008). According to Jim: The flawed normal curve of intelligence. Roeper Review, 30, 211-212. doi:10.1080/02783190802363877 Google Scholar | Crossref | |
|
Godwin, L. R., Smith, K. V., Warne, R. T. (2012). Does the normal curve accurately model the distribution of intelligence? Proceedings of the National Conference on Undergraduate Research 2012. Retrieved from http://www.ncurproceedings.org/ojs/index.php/NCUR2012/article/view/159/164 Google Scholar | |
|
Gottfredson, L. S. (1997a). Mainstream science on intelligence: An editorial with 52 signatories, history, and bibliography. Intelligence, 24, 13-23. doi:10.1016/S0160-2896(97)90011-8 Google Scholar | Crossref | ISI | |
|
Gottfredson, L. S. (1997b). Why g matters: The complexity of everyday life. Intelligence, 24, 79-132.doi:10.1016/S0160-2896(97)90014-3 Google Scholar | Crossref | ISI | |
|
Gottfredson, L. S. (2000). Skill gaps, not tests, make racial proportionality impossible. Psychology, Public Policy, and Law, 6, 129-143. doi:10.101317//1076-8971.6.1.129 Google Scholar | Crossref | ISI | |
|
Gottfredson, L. S. (2003). The science and politics of intelligence in gifted education. In Colangelo, N., Davis, G. A. (Eds.), Handbook of gifted education (3rd ed., pp. 24-40). Boston, MA: Allyn & Bacon. Google Scholar | |
|
Guldemond, H., Bosker, R., Kuyper, H., van der Werf, G. (2007). Do highly gifted students really have problems? Educational Research and Evaluation, 13, 555-568. Google Scholar | Crossref | |
|
Gallagher, J. J. (1998). Accountability for gifted students. Phi Delta Kappan, 79, 739-742. Google Scholar | ISI | |
|
Herrnstein, R. J., Murray, C. (1996). The bell curve: Intelligence and class structure in American life (2nd ed.). New York, NY: Free Press. Google Scholar | |
|
Hollingworth, L. S. (1942). Children above 180 IQ, Stanford-Binet: Origin and development. Yonkers-on-Hudson, NY: World Book. Google Scholar | Crossref | |
|
Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger. Google Scholar | |
|
Johnson, W., Carothers, A., Deary, I. J. (2008). Sex differences in variability in general intelligence: A new look at the old question. Perspectives on Psychological Science, 3, 518-531. doi:10.1111/j.1745-6924.2008.00096.x Google Scholar | SAGE Journals | ISI | |
|
Kaplan, R. M., Saccuzzo, D. P. (2009). Psychological testing: Principles, applications, and issues (7th ed.). Belmont, CA: Wadsworth. Google Scholar | |
|
Konigsberg, E. (2006, January). Prairie fire. New Yorker, 81(44), 44-57. Google Scholar | |
|
Kuhn, T. S. (1996). The structure of scientific revolutions (3rd ed.). Chicago, IL: University of Chicago Press. Google Scholar | Crossref | |
|
Marks, G., Miller, N. (1987). Ten years of research on the false-consensus effect: An empirical and theoretical review. Psychological Bulletin, 102, 72-90. doi:10.1037/0033-2909.102.1.72 Google Scholar | Crossref | ISI | |
|
McGuffog, C., Feiring, C., Lewis, M. (1987). The diverse profile of the extremely gifted child. Roeper Review, 10, 82-89. doi:10.1080/02783198709553090 Google Scholar | Crossref | |
|
Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., Turkheimer, E. (2012). Intelligence: New findings and theoretical developments. American Psychologist, 67, 130-159. doi:10.1037/a0026699 Google Scholar | Crossref | Medline | ISI | |
|
Parkyn, G. W. (1945). The clinical significance of IQ’s on the Revised Stanford-Binet Scale. Journal of Educational Psychology, 36, 114-118. doi:10.1037/h0055705 Google Scholar | Crossref | |
|
Plomin, R., Petrill, S. A. (1997). Genetics and intelligence: What’s new? Intelligence, 24, 53-77. doi:10.1016/s0160-2896(97)90013-1 Google Scholar | Crossref | ISI | |
|
Raven, J., Raven, J. C., Court, J. H. (1998). Manual for Raven’s progressive matrices and vocabulary scales, section 1: General overview. San Antonio, TX: Pearson. Google Scholar | |
|
Robinson, H. B. (1981). The uncommonly bright child. In Lewis, M., Rosenblum, L. A. (Eds.), The uncommon child: Genesis of behavior (pp. 57-81). New York, NY: Plenum. Google Scholar | Crossref | |
|
Robinson, N. M., Zigler, E., Gallagher, J. J. (2000). Two tails of the normal curve: Similarities and differences in the study of mental retardation and giftedness. American Psychologist, 55, 1413-1424. doi:10.1037/0003-066X.55.12.1413 Google Scholar | Crossref | Medline | ISI | |
|
Scottish Council for Research in Education . (1933). The intelligence of Scottish children. London, England: University of London Press. Google Scholar | |
|
Scottish Council for Research in Education . (1949). The trend of Scottish intelligence: A comparison of the 1947 and 1932 surveys of the intelligence of eleven-year-old pupils. London, England: University of London Press. Google Scholar | |
|
Silverman, L. K. (1995). Highly gifted children. In Genschaft, J., Birely, M., Hollinger, C. (Eds.), Serving gifted and talented students (pp. 217-240). Austin, TX: Pro-Ed. Google Scholar | |
|
Silverman, L. K. (2009). The measurement of giftedness. In Shavinina, L. V. (Ed.), International handbook of giftedness (pp. 947-970). Dordrecht, The Netherlands: Springer Science & Business Media. Google Scholar | Crossref | |
|
Silverman, L. K. (2011). Using test results to support clinical judgment. Retrieved from http://www.gifteddevelopment.com/PDF_files/tstresults.pdf Google Scholar | |
|
Silverman, L. K. (2013). Giftedness 101. New York, NY: Springer. Google Scholar | |
|
Silverman, L.K., Kearney, K. (1992). Don’t throw away the old Binet. Understanding Our Gifted, 4(4), 7-10. Google Scholar | |
|
Simonton, D. K. (2005). Giftedness and genetics: The emergenic-epigenetic model and its implications. Journal for the Education of the Gifted, 28, 270-286. doi:10.4219/jeg-2005-338 Google Scholar | SAGE Journals | |
|
Terman, L. M. (1916). The measurement of intelligence: An explanation of and a complete guide for the use of the Stanford revision and extension of the Binet-Simon Intelligence Scale. New York, NY: Houghton Mifflin. Google Scholar | Crossref | |
|
Terman, L. M. (1926). Genetic studies of genius: Vol. I. Mental and physical traits of a thousand gifted children (2nd ed.). Stanford, CA: Stanford University Press. Google Scholar | |
|
Terman, L. M., Merrill, M. A. (1973). Stanford-Binet Intelligence Scale: Manual for the third revised form L-M. Boston, MA: Houghton Mifflin. Google Scholar | |
|
Thompson, L. A., Oehlert, J. (2010). The etiology of giftedness. Learning and Individual Differences, 20, 298-307. doi: 10.1016/j.lindif.2009.11.004 Google Scholar | Crossref | ISI | |
|
Thorndike, E. L., Bregman, E. O., Cobb, M. V., Woodyard, E. (1927). The measurement of intelligence. New York, NY: Teachers College, Columbia University. Google Scholar | |
|
Wai, J., Putallaz, M. (2011). The Flynn effect puzzle: A 30-year examination from the right tail of the ability distribution provides some missing pieces. Intelligence, 39, 443-455. doi:10.1016/j.intell.2011.07.006 Google Scholar | Crossref | ISI | |
|
Wai, J., Putallaz, M., Makel, M. C. (2012). Studying intellectual outliers: Are there sex differences, and are the smart getting smarter? Current Directions in Psychological Science, 21, 382-390. doi:10.1177/0963721412455052 Google Scholar | SAGE Journals | ISI |

