Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T09:04:43.987Z Has data issue: false hasContentIssue false

RELATIONSHIP OF FERTILITY WITH INTELLIGENCE AND EDUCATION IN TAIWAN: A BRIEF REPORT

Published online by Cambridge University Press:  03 September 2012

HSIN-YI CHEN
Affiliation:
Department of Special Education, National Taiwan Normal University, Taipei, Taiwan, Republic of China
YUNG-HUA CHEN
Affiliation:
Chinese Behavioral Science Corporation, Taiwan, Republic of China
YUNG-KUN LIAO
Affiliation:
Department of Special Education, National Dong-Hwa University, Hualien, Taiwan, Republic of China
HSIN-PING CHEN
Affiliation:
Department of Economics, National Chengchi University, Taipei, Taiwan, Republic of China

Summary

This study estimates the effect of dysgenic trends in Taiwan by exploring the relationships among intelligence, education and fertility. Based on a representative adult sample, education and intelligence were negatively correlated with the number of children born. These correlations were stronger for females. The decline of genotypic intelligence was estimated as 0.82 to 1.33 IQ points per generation for the Taiwanese population.

Type
Short Report
Copyright
Copyright © Cambridge University Press 2012 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Flynn, J. R. (1984) The mean IQ of Americans: massive gains 1932 to 1978. Psychological Bulletin 95, 2951.CrossRefGoogle Scholar
Flynn, J. R. (2009) What is Intelligence? Beyond the Flynn Effect. Cambridge University Press.Google Scholar
Flynn, J. R. & Weiss, L. G. (2007) American IQ gains from 1932 to 2002: the WISC subtests and educational progress. International Journal of Testing 7(2), 209224.CrossRefGoogle Scholar
Hsueh, C. T. J. (2003) Demographical trends and traits in Taiwan: a few implications for social welfare policy. National Policy Quarterly 2(4), 122.Google Scholar
Jinks, J. L. & Fulker, D. W. (1970) Comparison of biometrical, genetic, MAVA, and classical approaches to the analysis of human behavior. Psychological Bulletin 73, 311349.CrossRefGoogle Scholar
Judge, T. A., Klinger, R. L. & Simon, L. S. (2010) Time is on my side: time, general mental ability, human capital, and extrinsic career success. Journal of Applied Psychology 95(1), 92107.CrossRefGoogle ScholarPubMed
Lam, P. E. (2009) Declined fertility rate in Japan: an aging crisis ahead. East Asia 26, 177–90.CrossRefGoogle Scholar
Lynn, R. (2009) Fluid intelligence but not vocabulary has increased in Britain, 1979–2008. Intelligence 37, 249255.CrossRefGoogle Scholar
Lynn, R. (2011) Dysgenic: Genetic Deterioration in Modern Populations (2nd revised edition). Ulster Institute for Social Research, UK.Google Scholar
Lynn, R. & Van Court, M. (2004) New evidence for dysgenic fertility for intelligence in the United States. Intelligence 32, 193201.CrossRefGoogle Scholar
Lynn, R. & Vanhanen, T. (2006) IQ and Global Inequality. Washington Summit Publishers, Augusta, GA.Google Scholar
Meisenberg, G. (2010) The reproduction of intelligence. Intelligence 38, 220230.CrossRefGoogle Scholar
Meisenberg, G. & Kaul, A. (2010) Effects of sex, race, ethnicity, and marital status on the relationship between intelligence and fertility. Mankind Quarterly 50, 151187.CrossRefGoogle Scholar
Meisenberg, G., Lawless, E., Lambert, E. & Newton, A. (2005) The Flynn effect in the Caribbean: generational change of cognitive test performance in Dominica. Mankind Quarterly 46(1), 2970.CrossRefGoogle Scholar
Meisenberg, G., Lawless, E., Lambert, E. & Newton, A. (2006) Determinants of mental ability on a Caribbean island, and the mystery of the Flynn effect. Mankind Quarterly 46(3), 273312.CrossRefGoogle Scholar
Population Reference Bureau (2012) Fertility Rates for Low Birth Rate Countries. URL: http://www.prb.org/pdf11/TFR_Table2011.pdf.Google Scholar
Shayer, M. & Ginsburg, D. (2009) Thirty years on – a large anti-Flynn effect? 11:13- and 14-year olds. Piagetian tests of formal operations norms 1976–2006/7. British Journal of Educational Psychology 79, 409418.CrossRefGoogle Scholar
Shayer, M., Ginsburg, D. & Coe, R. (2007) Thirty years on – a large anti-Flynn effect? The piagetian test Volume & Heaviness norms 1975–2003. British Journal of Educational Psychology 77, 2541.CrossRefGoogle ScholarPubMed
Strenze, T. (2007) Intelligence and socioeconomic success: a meta-analytic review of longitudinal research. Intelligence 35, 401426.CrossRefGoogle Scholar
Sundet, J. M., Barlaug, D. G. & Torjussen, T. M. (2004) The end of the Flynn effect? A study of secular trends in mean intelligence test scores of Norwegian conscripts during half a century. Intelligence 32, 349362.CrossRefGoogle Scholar
Teasdale, T. W. & Owen, D. R. (2000) Forty-year secular trends in cognitive abilities. Intelligence 28, 115120.CrossRefGoogle Scholar
Teasdale, T. W. & Owen, D. R. (2005) A long-term rise and recent decline in intelligence test performance: the Flynn effect in reverse. Personality and Individual Differences 39, 837843.CrossRefGoogle Scholar
Teasdale, T. W. & Owen, D. R. (2008) Secular declines in cognitive test scores: a reversal of the Flynn effect. Intelligence 36, 121126.CrossRefGoogle Scholar
Wechsler, D. (2002) Manual for the Wechsler Adult Intelligence Scale (3rd edition, Taiwan Version). Chinese Behavioral Science Corporation, Taipei, Taiwan.Google Scholar
Yi, J. & Zhang, J. (2010) The effect of house price on fertility: evidence from Hong Kong. Economic Inquiry 48(3), 635650.CrossRefGoogle Scholar