Parents’ Education Is More Important Than Their Wealth in Shaping Their Children’s Intelligence: Results of 19 Samples in Seven Countries at Different Developmental Levels

Abstract

In 19 (sub)samples from seven countries (United States, Austria, Germany, Costa Rica, Ecuador, Vietnam, Brazil), we analyzed the impact of parental education compared with wealth on the cognitive ability of children (aged 4–22 years, total N = 15,297). The background of their families ranged from poor indigenous remote villagers to academic families in developed countries, including parents of the gifted. Children’s cognitive ability was measured with mental speed tests, Culture Fair Intelligence Test (CFT), the Raven’s, Wiener Entwicklungstest (WET), Cognitive Abilities Test (CogAT), Piagetian tasks, Armed Forces Qualification Test (AFQT), Progress in International Reading Literacy Study (PIRLS), Trends in International Mathematics and Science Study (TIMSS), and Programme for International Student Assessment (PISA). Parental wealth was estimated by asking for income, indirectly by self-assessment of relative wealth, and by evaluating assets. The mean direct effect of parental education was greater than wealth. In path analyses, parental education (β_Ed) also showed a stronger impact on children’s intelligence than familial economic status (β_In, total effect averages: β_Ed = .30–.45, β_In = .09–.12; N = 15,125, k = 18). The effects on mental speed were smaller than for crystallized intelligence, but still larger for parental education than familial economic status (β_Ed→MS = .25, β_In→MS = .00, β_Ed→CI = .36, β_In→CI = .09; N = 394, k = 3). Additional factors affecting children’s cognitive ability are number of books, marital status, educational behavior of parents, and behavior of children. If added, a general background (ethnicity, migration) factor shows strong effects (β_Bg = .30–.36). These findings are discussed in terms of environmental versus hidden genetic effects.

Keywords

cognitive competence intelligence development fluid and crystallized intelligence SES number of books marital status smoking

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References

Alberti

L. B.

(2004). The family in Renaissance Florence (I libri della famiglia). Long Grove, IL: Waveland. (Original work published 1441)

Armor

D. J.

(2003). Maximizing intelligence. New Brunswick, NJ: Transaction Publishers.

Armstrong

J. S.

(2007). Significance tests harm progress in forecasting. International Journal of Forecasting, 23, 321–327.

Barnett

W. S.

Boocock

S. S.

(Eds.). (1998). Early care and education for children in poverty: Promises, programs, and long-term results. New York, NY: State University of New York.

Blau

D. M.

(1999). The effect of income on child development. The Review of Economics and Statistics, 81, 261–276.

Caplan

(2017). The case against education: A professional student explains why our education system is a big waste of time and money. New York, NY: Princeton University Press.

Capron

Duyme

(1989). Assessment of effects of socio-economic status on IQ in a full cross-fostering study. Nature, 340, 552–554.

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.

Ceci

S. J.

Williams

W. M.

(1997). Schooling, intelligence, and income. American Psychologist, 52, 1051–1058.

10.

Ceci

S. J.

Williams

W. M.

(2018). Socio-political values infiltrate the assessment of scientific research. In Crawford

J. T.

Jussim

(Eds.), The politics of social psychology (pp. 156–167). New York, NY: Routledge.

11.

Clark

(2007). A farewell to alms: A brief economic history of the world. Princeton, NJ: Princeton University Press.

12.

Cohen

(1994). The earth is round (p < .05). American Psychologist, 49, 997–1003.

13.

Coyle

T. R.

Rindermann

Hancock

(2016). Cognitive capitalism: Economic freedom moderates the effects of intellectual and average classes on economic productivity. Psychological Reports, 119, 411–427.

14.

Cunha

Heckman

J. J.

Lochner

Masterov

D. V.

(2006). Interpreting the evidence on life cycle skill formation. In Hanushek

E. A.

Welch

(Eds.), Handbook of the economics of education (Vol. I, pp. 697–812). Amsterdam, The Netherlands: North-Holland.

15.

Dahl

G. B.

Lochner

(2012). The impact of family income on child achievement: Evidence from the Earned Income Tax Credit. American Economic Review, 102, 1927–1956.

16.

Dawkins

(1982). The extended phenotype. Oxford, UK: Oxford University Press.

17.

Deary

I. J.

Taylor

M. D.

Hart

C. L.

Wilson

Davey Smith

Blane

Starr

J. M.

(2005). Intergenerational social mobility and mid-life status attainment: Influences of childhood intelligence, childhood social factors, and education. Intelligence, 33, 455–472.

18.

Doyle

Harmon

C. P.

Heckman

J. J.

Tremblay

R. E.

(2009). Investing in early human development: Timing and economic efficiency. Economics & Human Biology, 7, 1–6.

19.

Eide

Goldhaber

Brewer

(2004). The teacher labour market and teacher quality. Oxford Review of Economic Policy, 20, 230–244.

20.

Eysenck

H. J.

Schoenthaler

S. J.

(1997). Raising IQ level by vitamin and mineral supplementation. In Sternberg

R. J.

Grigorenko

E. L.

(Eds.), Intelligence, heredity and environment (pp. 363–392). Cambridge, UK: Cambridge University Press.

21.

Feinstein

(2003). Inequality in the early cognitive development of British children in the 1970 cohort. Economica, 70, 73–97.

22.

Firkowska

Ostrowska

Sokolowska

Stein

Susser

Wald

(1978). Cognitive development and social policy. Science, 200, 1357–1362.

23.

Flores-Mendoza

Widaman

K. F.

Rindermann

Primi

Mansur-Alves

Couto Pena

(2013). Cognitive sex differences in reasoning tasks: Evidence from Brazilian samples. Intelligence, 41, 70–84.

24.

Flynn

J. R.

(2012). Are we getting smarter? Rising IQ in the twenty-first century. Cambridge, UK: Cambridge University Press.

25.

Flynn

J. R.

(2016). Does your family make you smarter? Nature, nurture, and human autonomy. Cambridge, UK: Cambridge University Press.

26.

Führer

(2009). Effekte eines Kinderkrippenbesuchs bei Kindern im Schulalter [Effects for children’s development by crèche-attendance in school-age] (Unpublished master’s thesis). University of Graz, Austria.

27.

Fussell

(1983). Class: A guide through the American status system. New York, NY: Summit Books.

28.

Galobardes

Shaw

Lawlor

D. A.

Lynch

J. W.

Davey Smith

(2006). Indicators of socioeconomic position. Journal of Epidemiology & Community Health, 60, 7–12.

29.

Ganzach

(2014). Adolescents’ intelligence is related to family income. Personality and Individual Differences, 59, 112–115.

30.

Gigerenzer

(2004). Mindless statistics. Journal of Socio-Economics, 33, 587–606.

31.

Glewwe

King

(2001). The impact of early childhood nutritional status on cognitive development: Does the timing of malnutrition matter? The World Bank Economic Review, 15, 81–113.

32.

Glewwe

Kremer

(2006). Schools, teachers, and education outcomes in developing countries. In Hanushek

E. A.

Welch

(Eds.), Handbook of the economics of education (Vol. II, pp. 945–1017). Amsterdam, The Netherlands: North-Holland.

33.

Glick

Sahn

D. E.

(2009). Cognitive skills among children in Senegal: Disentangling the roles of schooling and family background. Economics of Education Review, 28, 178–188.

34.

Goldman

D. P.

Smith

J. P.

(2002). Can patient self-management help explain the SES health gradient? Proceedings of the National Academy of Sciences, 99, 10929–10934.

35.

Gottfredson

(2004). Intelligence: Is it the epidemiologists’ elusive “fundamental cause” of social class inequalities in health? Journal of Personality and Social Psychology, 86, 174–199.

36.

Greenfield

P. M.

(2009). Technology and informal education: What is taught, what is learned. Science, 323, 69–71.

37.

Großschedl

(2006). Die Förderung kognitiver Fähigkeiten und der Persönlichkeit von Kindern, die unter risikoindizierenden Umweltbedingungen aufwachsen [The stimulation of cognitive and personality development of children growing up under risky conditions] (Unpublished master’s thesis). University of Graz, Austria.

38.

Hammerlindl

B. M.

(2010). Förderliche Entwicklungsumwelten der empathischen Kompetenz bei Grundschulkindern [Supporting environments for development of empathy in primary school children] (Unpublished master’s thesis). University of Graz, Austria.

39.

Harden

K. P.

Turkheimer

Loehlin

J. C.

(2007). Genotype by environment interaction in adolescents’ cognitive aptitude. Behavior Genetics, 37, 273–283.

40.

Hattie

J. A. C.

(2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. London, UK: Routledge.

41.

Hoang

(2013). Streng, strenger, Vietnam? [Tough, tougher, Vietnam?] (Unpublished bachelor thesis). Chemnitz University of Technology, Germany.

42.

Bentler

P. M.

(1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424–453.

43.

Bentler

P. M.

(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

44.

Human Development Report. (2005). Human Development Report 2005. New York, NY. Retrieved from http://hdr.undp.org/reports/global/2005/pdf/hdr05_HDI.pdf

45.

Hunt

(2011). Human intelligence. Cambridge, UK: Cambridge University Press.

46.

Hunter

J. E.

(1997). Needed: A ban on the significance test. Psychological Science, 8, 3–7.

47.

Innerhofer

Obendrauf

Picha

(2010). Kognitive Entwicklung im Kindergarten [Cognitive development in kindergarten] (Unpublished student paper). University of Graz, Austria.

48.

Irwing

Lynn

(2006). The relation between childhood IQ and income in middle age. Journal of Social, Political and Economic Studies, 31, 191–196.

49.

Jahoda

Lazarsfeld

P. F.

Zeisel

(2002). Marienthal. The sociography of an unemployed community. Piscataway, NJ: Transaction Publishers. (Original work published 1933)

50.

Jeynes

(2002). The challenge of controlling for SES in social science and education research. Educational Psychology Review, 14, 205–221.

51.

Johnson

Deary

I. J.

Silventoinen

Tynelius

Rasmussen

(2010). Family background buys an education in Minnesota but not in Sweden. Psychological Science, 21, 1266–1273.

52.

Johnson

Mcgue

Iacono

W. G.

(2007). Socioeconomic status and school grades: Placing their association in broader context in a sample of biological and adoptive families. Intelligence, 35, 526–541.

53.

Kant

(1904). Educational theory of Immanuel Kant. Philadelphia, PA: Lippincott. (Original work published 1803)

54.

Kendler

K. S.

Turkheimer

Ohlsson

Sundquist

(2015). Family environment and the malleability of cognitive ability: A Swedish national home-reared and adopted-away cosibling control study. Proceedings of the National Academy of Sciences, 112, 4612–4617.

55.

Kramer

(2009). General mental ability and occupational success in Germany: Further meta-analytic elaborations and amplifications. Psychologische Rundschau, 60, 82–98.

56.

Landes

D. S.

(1998). The wealth and poverty of nations. New York, NY: W.W. Norton.

57.

Lechner

Rom

Stelzer

(2010). Auswirkungen individueller und familiärer Faktoren auf die Leistungsfähigkeit von Kindern [Effects of individual and parental factors on achievement of children] (Unpublished student paper). University of Graz, Austria.

58.

Lemos

G. C.

Almeida

L. S.

Colom

(2011). Intelligence of adolescents is related to their parents’ educational level but not to family income. Personality and Individual Differences, 50, 1062–1067.

59.

Lundstrom

(2017). The impact of family income on child achievement: Evidence from the earned income tax credit. American Economic Review, 107, 623–628.

60.

Lynn

(2009). What has caused the Flynn effect? Secular increases in the development quotients of infants. Intelligence, 37, 16–24.

61.

Makotschnig

(2010). Migration und Entwicklung in Österreich [Migration and development in Austria] (Unpublished master’s thesis). University of Graz, Austria.

62.

Mani

Mullainathan

Shafir

Zhao

(2013). Poverty impedes cognitive function. Science, 341, 976–980.

63.

Mayer

S. E.

(1997). What money can’t buy: Family income and children’s life chances. Cambridge, MA: Harvard University Press.

64.

Mbiti

I. M.

(2016). The need for accountability in education in developing countries. Journal of Economic Perspectives, 30, 109–132.

65.

Meisenberg

(2010). The reproduction of intelligence. Intelligence, 38, 220–230.

66.

Meisenberg

Lawless

Lambert

Newton

(2006). Determinants of mental ability on a Caribbean island, and the mystery of the Flynn effect. Mankind Quarterly, 46, 273–312.

67.

Nettle

(2003). Intelligence and class mobility in the British population. British Journal of Psychology, 94, 551–561.

68.

Paine

Dorea

G. J.

Pasquali

Monteiro

A. M.

(1992). Growth and cognition in Brazilian schoolchildren: A spontaneously occurring intervention study. International Journal of Behavioral Development, 15, 169–183.

69.

Paulhus

D. L.

Vazire

(2007). The self-report method. In Robins

R. W.

Fraley

R. C.

Krueger

R. F.

(Eds.), Handbook of research methods in personality psychology (pp. 224–239). New York, NY: Guilford Press.

70.

Perissutti

(2009). Kognitive Kompetenzen von Kindern und Einflussfaktoren des sozioökonomischen Status der Eltern [Cognitive competences of children and the influence of socioeconomic status of parents] (Unpublished master’s thesis). University of Graz, Austria.

71.

Pieber

E.-M.

(2009). Kognitive Fähigkeiten bei Kindern im Kindergarten- und Schulalter: Eine Vergleichsstudie zwischen Österreich und Costa Rica [Cognitive abilities of children in kindergarten and school age. A comparison between Austria and Costa Rica] (Unpublished master’s thesis). University of Graz, Austria.

72.

Pilko

(2009). Zusammenhang zwischen Intelligenz und Wortschatz von Kindern der vierten Klasse Grundschule [Relationship between intelligence and vocabulary size among children in 4th grade] (Unpublished master’s thesis). University of Graz, Austria.

73.

Psacharopoulos

Patrinos

H. A.

(2004). Returns to investment in education: A further update. Education Economics, 12, 111–134.

74.

Ranasinghe

Jayawardana

Constantine

G. R.

Sheriff

Matthews

Katulanda

(2011). Patterns and correlates of adult height in Sri Lanka. Economics & Human Biology, 9, 23–29.

75.

Rindermann

(2009). Intelligence as bourgeois phenomenon. Merkur, 63, 666–676.

76.

Rindermann

(2013). African cognitive ability: Research, results, divergences and recommendations. Personality and Individual Differences, 55, 229–233.

77.

Rindermann

Baumeister

A. E. E.

(2012). Differences between Montessori and traditional kindergartens concerning quality and their effects on child development. Psychologie in Erziehung und Unterricht, 59, 217–226.

78.

Rindermann

Baumeister

A. E. E.

(2015). Parents’ SES vs. parental educational behavior and children’s development: A reanalysis of the Hart and Risley study. Learning and Individual Differences, 37, 133–138.

79.

Rindermann

Carl

(2017). Indigenous Ecuadorian children: Parental education, parental wealth and children’s cognitive ability level. Learning and Individual Differences, 54, 202–209.

80.

Rindermann

Ceci

S. J.

(2009). Educational policy and country outcomes in international cognitive competence studies. Perspectives on Psychological Science, 4, 551–577.

81.

Rindermann

Heller

K. A.

(2005). The benefit of gifted classes and talent schools for developing students’ competences and enhancing academic self-concept. Zeitschrift für Pädagogische Psychologie, 19, 133–136.

82.

Rindermann

Hoang

Q. S. N.

Baumeister

A. E. E.

(2013). Cognitive ability, parenting and instruction in Vietnam and Germany. Intelligence, 41, 366–377.

83.

Rindermann

Kodila-Tedika

Christainsen

(2015). Cognitive capital, good governance, and the wealth of nations. Intelligence, 51, 98–108.

84.

Rindermann

Stiegmaier

E. M.

Meisenberg

(2015). Cognitive ability of preschool, primary and secondary school children in Costa Rica. Journal of Biosocial Science, 47, 281–310.

85.

Rowe

D. C.

(1994). The limits of family influence: Genes, experience, and behavior. New York, NY: Guilford Press.

86.

Sackett

P. R.

Kuncel

N. R.

Arneson

J. J.

Cooper

S. R.

Waters

S. D.

(2009). Does socioeconomic status explain the relationship between admissions tests and post-secondary academic performance? Psychological Bulletin, 135, 1–22.

87.

Saunders

(1997). Social mobility in Britain: An empirical evaluation of two competing explanations. Sociology, 31, 261–288.

88.

Saunders

(2002). Reflections on the meritocracy debate in Britain. British Journal of Sociology, 53, 559–574.

89.

Scarr

Weinberg

R. A.

(1978). The influence of “family background” on intellectual attainment. American Sociological Review, 43, 674–692.

90.

Schermelleh-Engel

Moosbrugger

Müller

(2003). Evaluating the fit of structural equation models: Test of significance and descriptive goodness-of-fit measures. Methods of Psychological Research–Online, 8, 23–74.

91.

Schönbrodt

F. D.

Perugini

(2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609–612.

92.

Schwab

Prutsch

Kasnik

(2010). Kognitive Entwicklung in der vierten Klasse gemessen mit ZVT, SPM und Piagetaufgaben [Cognitive development in 4th grade measured by ZVT, SPM and Piaget tasks] (Unpublished student paper). University of Graz, Austria.

93.

Seitlinger

(2010). Schulqualität und Fähigkeiten von Kindern in Ecuador [School quality and abilities of children in Ecuador] (Unpublished master’s thesis). University of Graz, Austria.

94.

Semmernegg

(2009). Kaiserschnitt und kindliche Entwicklung [Caesarean section and the development of children] (Unpublished master’s thesis). University of Graz, Austria.

95.

Spence

(1973). Job market signaling. Quarterly Journal of Economics, 87, 355–374.

96.

Steinhauser

(2010). Qualität von Montessori-Kindergärten und traditionellen Kindergärten und ihre Effekte auf die kindliche Entwicklung [Quality of Montessori and traditional kindergartens and their effects on children’s development] (Unpublished master’s thesis). University of Graz, Austria.

97.

Strenze

(2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35, 401–426.

98.

Tatzl

(2009). Entwicklungsförderliche Kurzzeiteffekte eines Kinderkrippenbesuchs [Positive effects for children’s development by crèche-attendance] (Unpublished master’s thesis). University of Graz, Austria.

99.

Thünauer

(2009). Determinanten der schulisch-kognitiven Fähigkeiten von Schulkindern in Ecuador [Determinants of academic-cognitive abilities of students in Ecuador] (Unpublished master’s thesis). University of Graz, Austria.

100.

von Stumm

Macintyre

Batty

D. G.

Clark

Deary

I. J

. (2010). Intelligence, social class of origin, childhood behavior disturbance and education as predictors of status attainment in midlife in men: The Aberdeen children of the 1950s study. Intelligence, 38, 202–211.

101.

von Stumm

Plomin

. (2015). Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence, 48, 30–36.

102.

Wargo

(2009). Intelligence and how to get it. Bring the family address—Richard Nisbett. Observer, 22(6), 15–17.

103.

Watts

D. J.

(2011). Everything is obvious. How common sense fails us. New York, NY: Random House.

104.

Whaley

S. E.

Sigman

Neumann

Bwibo

Guthrie

Weiss

R. E.

. . . Murphy

S. P.

(2003). The impact of dietary intervention on the cognitive development of Kenyan school children. Journal of Nutrition, 133, 3965–3971.

105.

White

K. R.

(1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin, 91, 461–481.

106.

Winship

Korenman

S. D.

(1999). Economic success and the evolution of schooling and mental ability. In Mayer

S. E.

Peterson

P. E.

(Eds.), Learning and earning: How schools matter (pp. 49–78). New York, NY: Brookings Institution Press.

107.

Yolton

Dietrich

Auinger

Lanphear

B. P.

Hornung

(2005). Exposure to environmental tobacco smoke and cognitive abilities among U.S. children and adolescents. Environmental Health Perspectives, 113, 98–103.

108.

Zergiebel

(1913). Der Einfluß des häuslichen Milieus auf die Schule [The influence of family environment on school]. Zeitschrift für pädagogische Psychologie und Jugendkunde, 14, 443–458.

109.

Zhang

Lee

K. A.

(2011). Decomposing achievement gaps among OECD countries. Asia Pacific Education Review, 12, 463–474.

110.

Zuckerman

(1996). Scientific elite: Nobel laureates in the United States. New Brunswick, NJ: Transaction Publishers. (Original work published 1977)

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