Cohort differences in intelligence test performance: effects of primary school education and task difficulty

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The results of an analysis of cohort differences in performance on the “Standard Progressive Matrices” test over one decade are presented. The focus of the research is on the performance of the fluid intelligence test by 1008 schoolchildren of six birth cohorts who entered the first grades of one school from 2011 to 2017, and their results after 4 years of primary schooling — from 2015 to 2021. The follow-up study solves problems related to determining the nature of cohort differences in test scores “within” one decade in the first and fourth years of education, the likelihood of changes in the size of cohort differences during primary schooling, and the degree of their dependence on the complexity of test items. The results of the analysis indicate the existence of cohort differences in the performance of students of one general education organization on an intelligence test “within” one decade. At the same time, the nature of the changes does not correspond to the trend of a progressive increase in test scores from the previous cohort to the subsequent one. The magnitude of cohort differences in the first and fourth years of study varies depending on the complexity of test items, reaching maximum values for more complex items. Four years of primary schooling significantly reduces the severity of cohort differences both in the overall score of the “Standard Progressive Matrices” test and in individual series of test items associated with individual thought processes. At the same time, the complexity of test tasks is associated with the influence of primary school education on the severity of cohort differences: the more complex the tasks, the less the magnitude of cohort differences is reduced by the end of primary school.

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作者简介

T. Tikhomirova

Federal Research Center for Psychological and Interdisciplinary Research

编辑信件的主要联系方式.
Email: tikho@mail.ru

Academician of Russian Academy of Education, ScD (Psychology), Leading Researcher

俄罗斯联邦, 125009, Moscow, Mokhovaya str., 9, bldg. 4

S. Malykh

Federal Research Center for Psychological and Interdisciplinary Research

Email: malykhsb@mail.ru

Academician of Russian Academy of Education, ScD (Psychology), Professor, Head of Laboratory

俄罗斯联邦, 125009, Moscow, Mokhovaya str., 9, bldg. 4

参考

  1. Raven Dzh.K., Kort Dzh.H., Raven Dzh. Rukovodstvo k progressivnym matricam Ravena i slovarnym shkalam. Part 2: Standartnye cvetnye matricy (vklyuchaya Parallel’nye versii Testa). 2-e izd., ster. Moscow: Cogito-Centr, 2009. (In Russian)
  2. Tikhomirova T.N., Malykh S.B. Kognitivnye osnovy individual’nyh razlichij v uspeshnosti obucheniya. Moscow; Saint-Petersburg: Nestor-Istoriya, 2017. 312 p. (In Russian)
  3. Tikhomirova T.N., Malykh S.B. Effekty vliyaniya makro- i mikrosredovyh uslovij obrazovaniya na kognitivnoe razvitie shkol’nikov. Voprosy psikhologii. 2021. V. 67. № 5. P. 30–43. (In Russian)
  4. Shadrikov V.D. Sposobnosti i odarennost’ cheloveka. Moscow: “Institut Psikhologii RAN” Publ., 2019. 274 p. (In Russian)
  5. Bratsberg B., Rogeberg O. Flynn effect and its reversal are both environmentally caused. Proceedings of the National Academy of Sciences. 2018. V. 115 (26). P. 6674–6678.
  6. Cahan S., Cohen N. Age versus schooling effects on intelligence development. Child Development. 1989. P. 1239–1249.
  7. Deary I.J., Weiss A., Batty G.D. Intelligence and personality as predictors of illness and death: How researchers in differential psychology and chronic disease epidemiology are collaborating to understand and address health inequalities. Psychological Science in the Public Interest. 2010. V. 11 (2). P. 53–79.
  8. Dutton E., Lynn R. A negative Flynn Effect in France, 1999 to 2008–9. Intelligence. 2015. V. 51. P. 67–70.
  9. Dutton E., Lynn R. A negative Flynn effect in Finland, 1997–2009. Intelligence. 2013. V. 41 (6). P. 817–820.
  10. Dworak E.M., Revelle W., Condon D.M. Looking for Flynn effects in a recent online US adult sample: Examining shifts within the SAPA Project. Intelligence. 2023. V. 98. P. 101734.
  11. Flynn J.R., Shayer M. IQ decline and Piaget: Does the rot start at the top? Intelligence. 2018. V. 66. P. 112–121.
  12. Flynn J.R. The mean IQ of Americans: massive gains 1932 to 1978. Psychological Bulletin. 1984. V. 95 (1). P. 29–51.
  13. Green K.E., Kluever R.C. Components of item difficulty of Raven’s matrices. The Journal of General Psychology. 1992. V. 119 (2). P. 189–199.
  14. Nisbett R., Aronson J., Blair C. et al. Intelligence: New findings and theoretical developments. American Psychologist. 2012. V. 67. P. 130–159.
  15. Parker K.C.H. Changes with age, year-of-birth cohort, age by year-of-birth cohort interaction, and standardization of the Wechsler Adult Intelligence Tests. Human Development. 1986. V. 29 (4). P. 209–222.
  16. Pietschnig J., Voracek M. One century of global IQ gains: A formal meta-analysis of the Flynn effect (1909–2013). Perspectives on Psychological Science. 2015. V. 10 (3). P. 282–306.
  17. Pietschnig J., Deimann P., Hirschmann N., Kastner-Koller U. The Flynn effect in Germanophone preschoolers (1996–2018): Small effects, erratic directions, and questionable interpretations. Intelligence. 2021. V. 86. P. 101544.
  18. Platt J.M., Keyes K.M., McLaughlin K.A., Kaufman A.S. The Flynn effect for fluid IQ may not generalize to all ages or ability levels: A population-based study of 10,000 US adolescents. Intelligence. 2019. V. 77. P. 101385.
  19. Ritchie S.J., Tucker-Drob E.M. How much does education improve intelligence? A meta-analysis. Psychological Science. 2018. V. 29 (8). P. 1358–1369.
  20. Shakeel M.D., Peterson P.E. A half century of progress in US student achievement: Agency and Flynn effects, ethnic and SES differences. Educational Psychology Review. 2022. V. 34 (3). P. 1255–1342.
  21. Teasdale T.W., Owen D.R. Secular declines in cognitive test scores: A reversal of the Flynn Effect. Intelligence. 2008. V. 36 (2). P. 121–126.
  22. Tikhomirova T., Malykh A., Lysenkova I. et al. The development of number line accuracy in elementary school children: A cross-country longitudinal study. British Journal of Educational Psychology. 2023. V. 93 (2). P. 423–436.

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