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COGNITIVE ABILITIES OF EMIRATI AND GERMAN ENGINEERING UNIVERSITY STUDENTS

Published online by Cambridge University Press:  23 May 2013

HEINER RINDERMANN ,
ANTONIA E. E. BAUMEISTER  and
ANNE GRÖPER
HEINER RINDERMANN*
Affiliation:
Department of Psychology, Chemnitz University of Technology, Germany
ANTONIA E. E. BAUMEISTER
Affiliation:
Department of Psychology, Chemnitz University of Technology, Germany
ANNE GRÖPER
Affiliation:
Friedrich Schiller University Jena, Germany
*
1Corresponding author. Email: heiner.rindermann@psychologie.tu-chemnitz.de
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Summary

According to human capital theory, individual competences and personality attributes are relevant for individual productivity and income. Within human capital, intelligence is crucial. To study engineering and work successfully as an engineer, high cognitive abilities are necessary, especially for work in research and development. In a study of 30 German and 30 Emirati engineering students (mean age: 22 years), both groups were tested with mathematical and figural intelligence scales (CogAT). German engineering students achieved a mean IQ of 116, and Emirati students 104 (in converted UK norms). In both groups male students achieved better results than females (2 to 4 IQ point difference). The results are compared with those from PISA and TIMSS. The possible causes of these results, their consequences and strategies for improvement are discussed.

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Type
Articles
Information
Journal of Biosocial Science , Volume 46 , Issue 2 , March 2014 , pp. 199 - 213
Copyright
Copyright © Cambridge University Press 2013 

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References

Barro, R. J. (1991) Economic growth in a cross-section of countries. Quarterly Journal of Economics 106, 407–443.CrossRefGoogle Scholar
Becker, G. S. (1993/1964) Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education. University of Chicago Press, Chicago.Google Scholar
Ceci, S. J. (1991) How much does schooling influence general intelligence and its cognitive components? A reassessment of the evidence. Developmental Psychology 27, 703–722.CrossRefGoogle Scholar
Ceci, S. J. & Williams, W. M. (2010) Sex differences in math-intensive fields. Current Directions in Psychological Science 19, 275–279.Google Scholar
Flores-Mendoza, C., Widaman, K. F., Rindermann, H., Primi, R., Mansur-Alves, M. & Couto Pena, C. (2013) Cognitive sex differences in reasoning tasks: evidence from Brazilian samples. Intelligence 41, 70–84.Google Scholar
Flynn, J. R. (2012) Are We Getting Smarter? Rising IQ in the Twenty-First Century. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Goldin, I., Cameron, G. & Balarajan, M. (2012) Exceptional People: How Migration Shaped Our World and Will Define Our Future. Princeton University Press, Princeton.Google Scholar
Gottfredson, L. S. (2003) g, jobs and life. In Nyborg, H. (ed.) The Scientific Study of General Intelligence. Pergamon, Oxford, pp. 293–342.Google Scholar
Gröper, A. (2011) Intercultural comparison of cognitive abilities and epistemological beliefs: contrasting German and Emirati engineering students. Bachelor thesis, Chemnitz University of Technology.Google Scholar
Hanushek, E. A. & Woessmann, L. (2008) The role of cognitive skills in economic development. Journal of Economic Literature 46, 607–668.Google Scholar
Heckman, J. J. (2000) Policies to foster human capital. Research in Economics 54, 3–56.Google Scholar
Hunt, E. (1995) Will We Be Smart Enough? A Cognitive Analysis of the Coming Workforce. Russell Sage Foundation, New York.Google Scholar
NCES (National Center for Education Statistics) (2008) 1.5 Million Homeschooled Students in the United States in 2007. (Issue Brief December 2008). US Department of Education, Alexandria.Google Scholar
Irwing, P., Hamza, A., Khaleefa, O. & Lynn, R. (2008) Effects of Abacus training on the intelligence of Sudanese children. Personality and Individual Differences 45, 694–696.Google Scholar
Jones, G. (2011) National IQ and national productivity: the hive mind across Asia. Asian Development Review 28, 51–72.CrossRefGoogle Scholar
Klauer, K. J. & Phye, G. D. (2008) Inductive reasoning: a training approach. Review of Educational Research 78, 85–123.Google Scholar
Landes, D. S. (1998) The Wealth and Poverty of Nations. Norton, New York.Google Scholar
Lohman, D. F. & Hagen, E. (2001) Cognitive Abilities Test (Form 6). Riverside, Itasca, IL.Google Scholar
Lynn, R. & Meisenberg, G. (2010) National IQs calculated and validated for 108 nations. Intelligence 38, 353–360.Google Scholar
Lynn, R. & Vanhanen, T. (2006) IQ and Global Inequality. Washington Summit, Athens.Google Scholar
Makhmasi, S., Zaki, R., Barada, H. & Al-Hammadi, Y. (2012) Students' interest in STEM education. Global Engineering Education Conference doi: 10.1109/EDUCON.2012.6201144.Google Scholar
Miller, D. C., Warren, L. K. & Owen, E. (2011) Comparative Indicators of Education in the United States and Other G-8 Countries: 2011. US Department of Education, National Center for Education Statistics, Washington.Google Scholar
Mincer, J. (1958) Investment in human capital and personal income distribution. Journal of Political Economy 66, 281–302.CrossRefGoogle Scholar
Mullis, I. V. S., Martin, M. O. & Foy, P.et al. (2008) TIMSS 2007 International Mathematics Report. TIMSS & PIRLS Study Center, Chestnut Hill, MA, USA.Google Scholar
Mullis, I., Martin, M. O., Kennedy, A. M. & Foy, P. (2007) PIRLS 2006 International Report. IEA/TIMSS & PIRLS International Study Center, Chestnut Hill, MA, USA.Google Scholar
Murnane, R. J., Willett, J. B. & Levy, F. (1995) The growing importance of cognitive skills in wage determination. Review of Economics and Statistics 77, 251–266.Google Scholar
Oesterdiekhoff, G. W. & Rindermann, H. (2007) The spread of AIDS in developing countries: a psycho-cultural approach. Journal of Social, Political and Economic Studies 32, 201–222.Google Scholar
Park, G., Lubinski, D. & Benbow, C. P. (2008) Ability differences among people who have commensurate degrees matter for scientific creativity. Psychological Science 19, 957–961.Google Scholar
Pinker, S. (2011) Taming the devil within us. Nature 478, 309–311.Google Scholar
Pritchett, L. & Viarengo, M. (2009) Producing superstars for the economic mundial: the Mexican predicament with quality of education. In Hausmann, R., Austin, E. L. & Mia, I. (eds) The Mexico Competitiveness Report 200. World Economic Forum, Genf/Harvard, pp. 71–89.Google Scholar
Rampey, B. D., Dion, G. S. & Donahue, P. L. (2009) NAEP 2008 Trends in Academic Progress. National Center for Education Statistics, Institute of Education Sciences, Washington, DC.Google Scholar
Reich, R. B. (1991) The Work of Nations: Preparing Ourselves for 21st Century Capitalism. Knopf, New York.Google Scholar
Rindermann, H. (2012) Intellectual classes, technological progress and economic development: the rise of cognitive capitalism. Personality and Individual Differences 53, 108–113.Google Scholar
Rindermann, H. & Baumeister, A. E. E. (2013) Effectiveness of Klauer's cognitive training with immigrant students, special-needs students and elderly people. Psychologie in Erziehung und Unterricht 60, 121–132.Google Scholar
Rindermann, H. & Ceci, S. J. (2009) Educational policy and country outcomes in international cognitive competence studies. Perspectives on Psychological Science 4, 551–577.Google Scholar
Rindermann, H. & Meisenberg, G. (2009) Relevance of education and intelligence at the national level for health: the case of HIV and AIDS. Intelligence 37, 383–395.Google Scholar
Rindermann, H. & te Nijenhuis, J. (2012) Intelligence in Bali – a case study on estimating mean IQ for a population using various corrections based on theory and empirical findings. Intelligence 40, 395–400.Google Scholar
Rindermann, H., Sailer, M. & Thompson, J. (2009) The impact of smart fractions, cognitive ability of politicians and average competence of peoples on social development. Talent Development and Excellence 1, 3–25.Google Scholar
Rindermann, H., Woodley, M. A. & Stratford, J. (2012) Haplogroups as evolutionary markers of cognitive ability. Intelligence 40, 362–375.Google Scholar
Rushton, J. Ph., Skuy, M. & Fridjhon, P. (2003) Performance on Raven's Advanced Progressive Matrices by African, East Indian, and White engineering students in South Africa. Intelligence 31, 123–137.Google Scholar
Rushton, J. Ph., Skuy, M. & Bons, T. A. (2004) Construct validity of Raven's Advanced Progressive Matrices for African and Non-African engineering students in South Africa. International Journal of Selection and Assessment 12, 220–229.Google Scholar
Schmidt, F. L. (2009) Select on intelligence. In Locke, E. A. (ed.) Handbook of Principles of Organizational Behaviour. Wiley, Chichester, pp. 3–17.Google Scholar
Schmidt, F. L. & Hunter, J. E. (1998) The validity and utility of selection methods in personnel psychology: practical and theoretical implications of 85 years of research findings. Psychological Bulletin 124, 262–274.Google Scholar
Schultz, T. W. (1961) Investment in human capital. American Economic Review 51, 1–17.Google Scholar
Shahomee, A. A. & Lynn, R. (2010) IQs of men and women and of arts and science students in Libya. Mankind Quarterly 51, 154–158.Google Scholar
Skuy, M., Gewer, A., Osrin, Y., Khunou, D., Fridjhon, P. & Rushton, J. P. (2002) Effects of mediated learning experience on Raven's matrices scores of African and non-African university students in South Africa. Intelligence 30, 221–232.Google Scholar
Sowell, T. (2004) Affirmative Action Around the World: An Empirical Study. Yale University Press, New Haven.Google Scholar
UNDP & Arab Fund for Economic and Social Development (2003) Arab Human Development Report 2003. Building a Knowledge Society. UNDP, New York.Google Scholar
Wai, J., Lubinski, D. & Benbow, C. P. (2005) Creativity and occupational accomplishments among intellectually precocious youths: an age 13 to age 33 longitudinal study. Journal of Educational Psychology 97, 484–492.Google Scholar
Wai, J., Cacchio, M., Putallaz, M. & Makel, M. C. (2010) Sex differences in the right tail of cognitive abilities: a 30 year examination. Intelligence 38, 412–423.Google Scholar
World Bank (2008) The Road Not Traveled. Education Reform in the Middle East and North Africa. World Bank, Washington, DC.Google Scholar
Zhang, L. & Lee, K. A. (2011) Decomposing achievement gaps among OECD countries. Asia Pacific Education Review 12, 463–474.Google Scholar