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REGIONAL DIFFERENCES IN INTELLIGENCE IN EGYPT: A COUNTRY WHERE UPPER IS LOWER

Published online by Cambridge University Press:  11 May 2018

Edward Dutton ,
Salaheldin Farah Bakhiet Open the ORCID record for Salaheldin Farah Bakhiet [Opens in a new window] ,
Khaled Elsayed Ziada ,
Yossry Ahmed Sayed Essa ,
Hamada Ali Abdelmuti Ali  and
Shehana Mohammed Alqafari
Edward Dutton*
Affiliation:
Ulster Institute for Social Research, London
Salaheldin Farah Bakhiet
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
Khaled Elsayed Ziada
Affiliation:
Department of Psychology, Menoufia University, Egypt
Yossry Ahmed Sayed Essa
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
Hamada Ali Abdelmuti Ali
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
Shehana Mohammed Alqafari
Affiliation:
Department of Special Education, College of Education, King Saud University, Riyadh, Saudi Arabia
*
1Corresponding author. Email: [email protected]
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Summary

Two administrations of the Coloured Progressive Matrices in Egypt were compared. The first was administered to a large, representative national sample between 2011 and 2013. The second was administered to primary school pupils in villages in Menoufia in northern Egypt in 2017. Adjusting for the Flynn Effect, the IQ of the rural northern Egyptians was shown to be statistically significantly higher than the national average. It is demonstrated that this is consistent with regional socioeconomic differences in Egypt, which strongly imply that northern Egypt has a higher average IQ than southern Egypt.

Type
Research Article
Information
Journal of Biosocial Science , Volume 51 , Issue 2 , March 2019 , pp. 273 - 281
Copyright
Copyright © Cambridge University Press, 2018 

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References

28 Too Many (2017) Country Profile: FGM in Egypt. URL: http://www.28toomany.org/countries/Egypt/.Google Scholar
Ali, I. (2014) Coloured Progressive Matrices Test. Instruction Booklet. Anglo-Egyptian Library, Cairo.Google Scholar
Almeida, L., Lemos, G. & Lynn, R. (2011) Regional differences in intelligence and per capita incomes in Portugal. Mankind Quarterly 53, 213–221.Google Scholar
Arafat, A. (2009) The Mubarak Leadership and the Future of Democracy in Egypt. Palgrave Macmillan, New York.Google Scholar
Bakhiet, S., Dutton, E., Ashaer, K., Essa, Y., Blahmar, T., Hakami, S. & Madison, G. (2018) Understanding the Simber Effect: why is the age-dependent increase in children’s cognitive ability smaller in Arab countries than in Britain? Personality and Individual Differences 122, 38–42.Google Scholar
Bakhiet, S. & Lynn, R. (2014a) Regional differences in intelligence in Sudan. Intelligence 50, 150–152.Google Scholar
Bakhiet, S. & Lynn, R. (2014b) A note on a new study of intelligence in Egypt. Psychological Reports 115, 810–812.Google Scholar
Brody, N. (2013) Intelligence. Academic Press.Google Scholar
Bursey, E. (2009) Introduction. In Sorajjakool, S., Carr, M. & Bursey, E. (eds) World Religions for Healthcare Professionals. Routledge, London.Google Scholar
Carl, N. (2016a) Corrigendum to “IQ and socio-economic development across local authorities of the UK. Intelligence 55, 90–94.Google Scholar
Carl, N. (2016b) IQ and socioeconomic development across regions of the UK. Journal of Biosocial Science 48, 406–417.Google Scholar
Dutton, E. (2014) Religion and Intelligence: An Evolutionary Analysis. Ulster Institute for Social Research, London.Google Scholar
Dutton, E. & Lynn, R. (2014) Regional differences in intelligence and their social and economic correlates in Finland. Mankind Quarterly 54, 447–456.Google Scholar
El Laithy, H., Lokshin, M. & Banerji, A. (2003) Poverty and Economic Growth in Egypt, 1999–2000. World Bank Policy Research Working Paper No. 3068.l.Google Scholar
Fareed, M. & Afzal, M. (2014) Estimating the inbreeding depression on cognitive behavior: a population based study of child cohort. PLoS One 9(12), e115393.Google Scholar
Flynn, J. R. (2012) Are We Getting Smarter? Rising IQ in the Twenty-First Century. Cambridge University Press, Cambridge.Google Scholar
Fuerst, J. & Kirkegaard, E. (2016) Admixture in the Americas and national differences. Mankind Quarterly 56, 256–374.Google Scholar
Gintiliene, G. & Girdzijauskiene, G. (2003) Lithuania. In Georgas, G., Weiss, L., Van der Vijver, F. & Saklofske, D. (eds) Culture and Children’s Intelligence: Cross-Cultural Analysis of the WISC-III. Elsevier, Amsterdam.Google Scholar
Grigoriev, A., Lapteva, E. & Lynn, R. (2016) Regional differences in intelligence, infant mortality, stature and fertility in European Russia in the late nineteenth century. Intelligence 55, 34–37.Google Scholar
Hamdi, E., Sabry, N., Sedrak., A., Khowailed, A. & Loza, N. (2016) Sociodemographic indicators for substance use and abuse in Egypt. Journal of Addiction Prevention 4(1).Google Scholar
Hamilton, W. (1996) The Narrow Roads of Gene Land. Oxford University Press, Oxford.Google Scholar
Holfelder, N., Schlebusch, C., Günther, T., Babiker, H., Hassan, H. & Jakobsson, M. (2017) Northeast African genomic variation shaped by the continuity of indigenous groups and Eurasian migrations. PLoS Genetics. URL: https://doi.org/10.1371/journal.pgen.1006976.Google Scholar
Jensen, A. R. (1998) The g Factor: The Science of Mental Ability. Praeger, Westport, CT.Google Scholar
Kings, T., Salem, A. E., Bauer, K., Geisert, H., Malek, A. K. et al. (1992) mtDNA analysis of Nile River Valley populations: genetic corridor or a barrier to migration? American Journal of Human Genetics 64, 1116–1176.Google Scholar
Kura, K. (2013) Japanese north–south gradient in IQ predicts differences in stature, skin colour, income and homicide rate. Intelligence 41, 512–516.Google Scholar
Loza, S. & Soliman, I. (2009) Egypt Violence Against Women Study: Violence Against Women Survey Results. Social Planning Analysis and Administration Consultants.Google Scholar
Lynn, R. (1979) The social ecology of intelligence in the British Isles. British Journal of Social and Clinical Psychology 18, 1–12.Google Scholar
Lynn, R. (1980) The social ecology of intelligence in France. British Journal of Social and Clinical Psychology 19, 325–331.Google Scholar
Lynn, R. (2010) In Italy, north–south differences in IQ predict differences in income, education, infant mortality, stature and literacy. Intelligence 38, 93–100.Google Scholar
Lynn, R. (2012) North–south differences in Spain in IQ, educational attainment, per capita income, literacy, life expectancy and employment. Mankind Quarterly 52, 265–291.Google Scholar
Lynn, R. (2015) Race Differences in Intelligence: An Evolutionary Analysis, 2nd Edition. Washington Summit Publishers.Google Scholar
Lynn, R. & Cheng, H. (2013) Differences in intelligence across 31 regions of China and their economic and demographic correlates. Intelligence 41, 553–559.Google Scholar
Lynn, R., Sakar, C. & Cheng, H. (2015) Regional differences in intelligence, income and other socioeconomic variables in Turkey. Intelligence 50, 144–149.Google Scholar
Lynn, R. & Vanhanen, T. (2012) Intelligence: A Unifying Construct for the Social Sciences. Ulster Institute for Social Research, London.Google Scholar
Ministry of Health and Population (2014) Egypt Demographic Health Survey, 2014. Cairo.Google Scholar
Nassar, H. & Biltagy, S. (2017) Poverty, employment, investment, and education relationships: the case of Egypt. Sage Open. URL: http://journals.sagepub.com/doi/10.1177/2158244017697156.Google Scholar
Pesta, B., McDaniel, M. & Betsch, S. (2010) Towards an index of well-being for the fifty US states. Intelligence 38, 160–168.Google Scholar
Raven, J. (2008) Coloured Progressive Matrices and Crichton Vocabulary Scale Manual. Pearson, London.Google Scholar
Raven, J., Raven, J. C. & Court, J. H. (1998) Coloured Progressive Matrices. Oxford Psychologists Press, Oxford.Google Scholar
Roivainen, E. (2012) Economic, educational and IQ gains in eastern Germany, 1990–2006. Intelligence 40, 571–575.Google Scholar
Rushton, J. P. (1995) Race, Evolution and Behaviour. Transaction Publishers, New Brunswick.Google Scholar
Sayed, F. (2006) Transforming Education in Egypt: Western Influence and Domestic Policy Reform. American University in Cairo Press, Cairo.Google Scholar
Schuenemann, V., Peltzer, A., Welter, B., Van Pelte, W. P., Molak, M. et al. (2017) Ancient Egyptian mummy genomes suggest an increase of Sub-Saharan African ancestry in post-Roman periods. Nature Communications 8, 15694.Google Scholar
Shawky, R., El-Awady, M., Elsayed, S. & Hamadan, G. (2011) Consanguineous matings among Egyptian population. Egyptian Journal of Medical Human Genetics 12, 157–163.Google Scholar
Tine, M. (2013) Working memory differences between children living in rural and urban poverty. Journal of Cognition and Development 15(4), 599–613.Google Scholar
Von Strumm, S. & Plomin, R. (2015) Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence 40, 30–36.Google Scholar
Wicherts, J., Boorsboom, D. & Dolan, C. (2010) Why national IQs do not support the evolutionary theories of intelligence. Personality and Individual Differences 41, 91–96.Google Scholar
Woodley, M. A. (2009) Inbreeding depression and IQ in 72 countries. Intelligence 37, 268–276.Google Scholar
Ziada, K., Metwaly, H., Bakhiet, S., Cheng, H. & Lynn, R. (2017) A new study of intelligence in Egypt. Mankind Quarterly 58, 307–311.Google Scholar