Dergiler / Kuramsal Eğitimbilim Dergisi / 2026 / Cilt: 16 Sayı: 1

Intelligence Differences across Years: A Trend Analysis

Sayfa
107–126
Yayın Tarihi
2023-01-31
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

As a result of this study, it can be said that the Flynn effect has gone into reversed.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Flynn effect which advocated that there was a rise in the IQ score was widely accepted by the relevant scientific community.
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Temel Bulgular & Veri:The purpose of this study is to determine the trend of students' general, verbal, and visual intelligence scores in the last 6 years (2016-2021).
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Sonuç & Katkı:As a result of this study, it can be said that the Flynn effect has gone into reversed.
🔬Tür:Araştırma Makalesi
📍Kapsam:2016-2021 Verileri
⚙️Değişkenler:intelligence · Flynn effect · anti-Flynn effect

Abstract

Flynn effect which advocated that there was a rise in the IQ score was widely accepted by the relevant scientific community. However, this effect has been reversed in recent years. In this study both Flynn and anti-Flynn effects were investigated. The purpose of this study is to determine the trend of students' general, verbal, and visual intelligence scores in the last 6 years (2016-2021). The participant of study included 2192 students who were first grade. To measure general, verbal, and visual intelligence of the participant, Anadolu-Sak Intelligence Scale (ASIS) was used. ASIS is the first intelligence test developed and standardized in Turkey. Participants’ mean of general, verbal, and visual intelligence scores in different years were compared by trend analysis. The research findings showed that there was a downward tendency in general, verbal, and visual scores between the years of 2016 to 2021. Moreover, our findings reveal that there is a sharp decrease between 2020 and 2021. Girls' GIQ, VIQ, and NIQ scores of 2021 showed a sharp decline compared to boys. As a result of this study, it can be said that the Flynn effect has gone into reversed.

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Bu Makaleye Atıf Yap

Sezerel, B. B., Ateşgöz, N. N., Kirişçi, N. (2023). Intelligence Differences across Years: A Trend Analysis. Kuramsal Eğitimbilim Dergisi, Cilt: 16 Sayı: 1, 107–126. https://doi.org/10.30831/akukeg.1099061

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Kaynakça (55)

  1. Azevedo, J. P., Hasan, A., Goldemberg, D., Geven, K., & Iqbal, S. A. (2021). Simulating the potential impacts of COVID-19 school closures on schooling and learning outcomes: A set of global estimates. The World Bank Research Observer, 36(1), 1-40. https://doi.org/10.1093/wbro/lkab003
  2. Baddeley, A. D. (2012). Working memory: theories, models, and controversies. Annual Review of Psychology, 63, 1–29.
  3. Başaran, M., Doğan, E., Karaoğlu, E., & Şahin, E. (2020). Koronavirüs (covid-19) pandemi sürecinin getirisi olan uzaktan eğitimin etkililiği üzerine bir çalışma [A study on effectiveness of distance education, as a return of coronavirus (covid-19) pandemic process]. Academia Eğitim Araştırmaları Dergisi, 5(2), 368-397.
  4. Bayburtlu, Y. S. (2020). Covid-19 pandemi dönemi uzaktan eğitim sürecinde öğretmen görüşlerine göre Türkçe eğitimi [Turkish education during covid-19 pandemic distance education process]. Turkish Studies, 15(4), 131-151. https://doi.org/ 10.7827/TurkishStudies.44460
  5. Bennett, D. J., & Warren, W. (2002). Size scaling: Retinal or environmental frame of reference? Perceptions & Psychophysics, 64(3), 462-477.
  6. Bordone, V., Scherbov, S., & Steiber, N. (2015). Smarter every day: The deceleration of population ageing in terms of cognition. Intelligence, 52, 90–96. https://doi.org/10.1016/j.intell.2015.07.005
  7. Bratsberg, B., & Rogeberg, O. (2018). Flynn effect and its reversal are both environmentally caused. Proceedings of the National Academy of Sciences, 115(26), 6674-6678. https://doi.org/10.1073/pnas.1718793115
  8. Cao W., Fang Z., Hou G., Han M., Xu X., Dong J., et al.(2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 287, 112934. https://doi.org/10.1016/j.psychres.2020.112934
  9. Cırık, M., Sak, U., & Öpengin, E. (2020). Dikkat eksikliği hiperaktivite bozukluğu olan çocukların Anadolu-Sak Zekâ Ölçeği profillerinin incelenmesi [An investigation of cognitive profiles of children with attention deficit hyperactivity disorder through Anadolu-Sak Intelligence Scale]. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Özel Eğitim Dergisi, 21(4), 663-685. https://doi.org/10.21565/ozelegitimdergisi.570505
  10. Coller, R. J., & Webber, S. (2020). COVID-19 and the well-being of children and families. Pediatrics, 146(4), 1-3. https://doi.org/10.1542/peds.2020-022079
  11. Cooper, L. A. (1975). Mental rotation of random two-dimensional shapes. Cognitive Psychology, 7, 20-43. https://doi.org/10.1016/0010-0285(75)90003-1
  12. Daley, T. C., Whaley, S. E., Sigman, M. D., Espinosa, M. P., & Neumann, C. (2003). IQ on the rise: The Flynn effect in rural Kenyan children. Psychological Science, 14, 215–219. https://doi.org/10.1111/1467-9280.02434
  13. Deak, G. O. (2014). Interrelations of language and cognitive development. In P. Brooks & V. Kampe, (Eds.), Encyclopedia of language development (pp. 284-291). Sage Publications.
  14. Dutton, E., & Lynn, R. (2015). A negative Flynn Effect in France, 1999 to 2008–9. Intelligence, 51(2015), 67-70. https://doi.org/10.1016/j.intell.2015.05.005
  15. Dutton, E., van der Linden, D., & Lynn, R. (2016). The negative Flynn Effect: A systematic literature review. Intelligence, 59, 163-169. https://doi.org/10.1016/j.intell.2016.10.002
  16. Dülger, E. (2018). Anadolu-Sak Zekâ Ölçeği'nin (ASIS) ölçüt geçerliği çalışması [A study on the criterion validity of the Anadolu-Sak Intelligence Scale (ASIS)] (Dissertation Number: 494226). [Unpublished master thesis, Anadolu University]. Yükseköğretim Kurulu Ulusal Tez Merkezi.
  17. Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. Proceedings of the National Academy of Sciences, 118(17), 1-7. https://doi.org/10.1073/pnas.2022376118
  18. Eppig, C., Fincher, C. L., & Thornhill, R. (2010). Parasite prevalence and the worldwide distribution of cognitive ability. Proceedings of the Royal Society: Series B. Biological Sciences, 277, 3801-3808. https://doi.org/10.1098/rspb.2010.0973
  19. Erol, M., & Erol, A. (2020). Koronavirüs pandemisi sürecinde ebeveynleri gözünden ilkokul öğrencileri [Primary school students through the eyes of their parents during covid-19 pandemic]. Milli Eğitim Dergisi, 49(1), 529-551. https://doi.org/10.37669/milliegitim.766194
  20. Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2007). Essentials of cross-battery assessment (2nd ed.). Wiley. Flynn, J. R. (1984). The mean IQ of Americans: Massive gains 1932 to 1978. Psychological Bulletin, 95, 29-51. https://doi.org/10.1037/0033-2909.95.1.29
  21. Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101, 171-191. https://psycnet.apa.org/doi/10.1037/h0090408
  22. Flynn, J. R. (2000). IQ gains and fluid g. American Psychologist, 55(5), 543. https://doi.org/10.1037/0003-066X.55.5.543
  23. Gentner, D. (1983). Structure mapping: A theoretical framework for analogy. Cognitive Science, 7, 155-170. https://doi.org/10.1016/S0364-0213(83)80009-3
  24. Hopko, D.R., Crittendon, J. A., Grant, E. & Wilson, S. A. (2005) The impact of anxiety on performance IQ. Anxiety, Stress & Coping, 18(1), 17-35. https://doi.org/10.1080/10615800412336436
  25. Hornstra, L., van der Veen, I., Peetsma, T. & Volman, M. (2013). Developments in motivation and achievement during primary school: a longitudinal study on group-specific differences. Learning and Individual Differences, 23, 195–204. https://doi.org/10.1016/j.lindif.2012.09.004
  26. Karaman, M. A., Eşici, H., Tomar, İ. H., & Aliyev, R. (2021). COVID-19: Are school counseling services ready? Students' psychological symptoms, school counselors' views, and solutions. Frontiers in Psychology, 12, 647-740. https://doi.org/10.3389/fpsyg.2021.647740
  27. König, C., & Frey, A. (2022). The impact of COVID-19-related school closures on student achievement-A meta-analysis. Educational Measurement: Issues and Practice, 41(1), 16-22. https://doi.org/10.1111/emip.12495
  28. Kuhfeld, M., Soland, J., Tarasawa, B., Johnson, A., Ruzek, E., & Liu, J. (2020). Projecting the potential impact of COVID-19 school closures on academic achievement. Educational Researcher, 49(8), 549-565. https://doi.org/10.3102/0013189X20965918
  29. Lynn, R. (2009). What has caused the Flynn effect? Secular increases in the development quotients of infants. Intelligence, 37, 16-24. https://doi.org/10.1016/j.intell.2008.07.008
  30. McGrew, K. S. (2010). The Flynn effect and its critics: Rusty linchpins and “Lookin’ for g and Gf in some of the wrong places.” Journal of Psychoeducational Assessment, 28, 448-468. https://doi.org/10.1177/0734282910373347
  31. McGrew, S. K. (2009). CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research. Intelligence, 37, 1-10. https://doi.org/10.1016/j.intell.2008.08.004
  32. Must, O., Must, A., & Raudik, V. (2003). The Flynn effect for gains in literacy found in Estonia is not a Jensen effect. Personality and Individual Differences, 34, 1287−1292. https://doi.org/10.1016/S0191-8869(02)00115-0
  33. Pietschnig, J., & Voracek, M. (2015). One century of global IQ gains: A formal meta-analysis of the Flynn effect (1909–2013). Perspectives on Psychological Science, 10(3), 282-306. https://doi.org/10.1177/1745691615577701
  34. Pietschnig, J., Deimann, P., Hirschmann, N., & Kastner-Koller, U. (2021). The Flynn effect in Germanophone preschoolers (1996–2018): Small effects, erratic directions, and questionable interpretations. Intelligence, 86, 101544. https://doi.org/10.1016/j.intell.2021.101544
  35. Pietschnig, J., Voracek, M., & Formann, A. K. (2011). Female Flynn effects: No sex differences in generational IQ gains. Personality and Individual Differences, 50(5), 759–762. https://doi.org/10.1016/j.paid.2010.12.019
  36. Rindermann, H., Becker, D., & Coyle, T. R. (2017). Survey of expert opinion on intelligence: The Flynn effect and the future of intelligence. Personality and Individual Differences, 106, 242-247. https://doi.org/10.1016/j.paid.2016.10.061
  37. Rodgers, J. L. (1999). A critique of the Flynn effect: massive IQ gains, methodological artifacts, or both? Intelligence, 26, 337–356. https://doi.org/10.1016/S0160-2896(99)00004-5
  38. Rönnlund, M., & Nilsson, L. G. (2009). Flynn effects on sub-factors of episodic and semantic memory: Parallel gains over time and the same set of determining factors. Neuropsychologia, 47(11), 2174–2180. https://doi.org/10.1016/j.neuropsychologia.2008.11.007
  39. Sak, U., Bal-Sezerel, B., Ayas, M. B., Özdemir, N. N., Demirel, S., & Öpengin, E. (2016). Anadolu Sak Zeka Ölçeği uygulayıcı kitabı [Anadolu Sak Intelligence Scale users’ manuel]. Alf Kırtasiye Basım.
  40. Sak, U., Bal-Sezerel, B., Dulger, E., Sozel, K., & Ayas, M. B. (2019). Validity of the Anadolu-Sak Intelligence Scale in the identification of gifted students. Psychological Test and Assessment Modeling, 61(3), 263-283.
  41. Schneider, W. J., & McGrew, K. S. (2012). The Cattell‐Horn‐Carroll model of intelligence. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: theories, tests and issues (pp. 99‐144). Guilford Press.
  42. Shayer, M., & Ginsburg, D. (2009). Thirty years on–a large anti‐Flynn effect/(II): 13‐and 14‐year‐olds. Piagetian tests of formal operations norms 1976–2006/7. British Journal of Educational Psychology, 79(3), 409-418. https://doi.org/10.1348/978185408X383123
  43. 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(1), 25-41. https://doi.org/10.1348/000709906X96987
  44. Smith, J., Guimond, F. A., Bergeron, J., St-Amand, J., Fitzpatrick, C., & Gagnon, M. (2021). Changes in students’ achievement motivation in the context of the COVID-19 pandemic: A function of extraversion/introversion? Education Sciences, 11(1), 30-38. https://doi.org/10.3390/educsci11010030
  45. Sözel, H. K., Öpengin, E., Sak, U., & Karabacak, F. (2018). The discriminant validity of the Anadolu-Sak Intelligence Scale (ASIS) for gifted and other special education groups. Turkish Journal of Giftedness and Education, 8(2), 160-180.
  46. Takano, Y. (1989). Perception of rotated forms: A theory of information types. Cognitive Psychology, 21, 1-59. https://doi.org/10.1016/0010-0285(89)90002-9
  47. Tamul, Ö. F., Bal-Sezerel, B., Sak, U., & Karabacak, F. (2020). Anadolu-Sak Zekâ Ölçeği’nin (ASIS) sosyal geçerlik çalışması. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 49, 393-412. https://doi: 10.9779/pauefd.575479
  48. 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(4), 837-843. https://doi.org/10.1016/j.paid.2005.01.029
  49. Thorell, L., Skoglund, C. B., de la Pe~na, A. G., Baeyens, D., Fuermaier, A., Groom, M., Mammarella, I., & Christiansen, H. (2020). Psychosocial effects of homeschooling during the COVID-19 pandemic: Differences between seven European countries and between children with and without mental health conditions. PsyArXiv, 25. https://doi.org/10.31234/osf.io/68pfx
  50. Wang, C., Pan R., Wan X., Tan Y., Xu L., Ho C. S., et al. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 Coronavirus Disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health, 17, 1–25. https://doi.org/10.3390/ijerph17051729
  51. Weber, D., Dekhtyar, S., & Herlitz, A. (2017). The Flynn effect in Europe–Effects of sex and region. Intelligence, 60, 39-45. https://doi.org/10.1016/j.intell.2016.11.003
  52. Winston, M. E., Chaffin, R., & Herrmann, D. (1987). A taxonomy of part-whole relations. Cognitive Science, 11, 417-444. https://doi.org/10.1207/s15516709cog1104_2
  53. Woodley, M. A., & Dunkel, C. (2015). In France, are secular IQ losses biologically caused? A comment on Dutton and Lynn. Intelligence, 53, 81–85. http://dx.doi.org/10.1016/j.intell.2015.08.009
  54. Woodley, M., & Meisenberg, G. (2013). In the Netherlands the anti-Flynn effect is a Jensen effect. Personality and Individual Differences, 54, 871–876. https://doi.org/10.1016/j.paid.2012.12.022
  55. Zaccoletti, S., Camacho, A., Correia, N., Aguiar, C., Mason, L., Alves, R. A., et al. (2020). Parents' perceptions of student academic motivation during the COVID-19 lockdown: A cross-country comparison. Frontiers in Psychology, 11, 1-13. https://doi.org/10.3389/fpsyg.2020.592670