IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v110y2025ics0160289625000121.html
   My bibliography  Save this article

Reevaluating the Flynn effect, and the reversal: Temporal trends and measurement invariance in Norwegian armed forces intelligence scores

Author

Listed:
  • Nordmo, Morten
  • Norrøne, Tore Nøttestad
  • Lang-Ree, Ole Christian

Abstract

Since 1954, the Norwegian Armed Forces have annually administered an unchanged general mental ability test to male cohorts, comprising figure matrices, word similarities, and mathematical reasoning tests. These stable and representative data have supported various claims about shifts in general mental ability (GMA) levels, notably the Flynn effect and its reversal, influencing extensive research linking these scores with health and other outcomes. This study examines whether observed temporal trends in scores reflect changes in latent intelligence or are confounded by evolving test characteristics and specific test-taking abilities in numerical reasoning, word comprehension, and figure matrices reasoning. Our findings, using multiple-group factor analysis and multiple indicator multiple cause (MIMIC) models, indicate that while there was a general upward trend in observed scores until 1993, this was predominantly driven by enhancements in the fluid intelligence task, specifically figure matrices reasoning. Notably, these gains do not uniformly translate to a rise in underlying GMA, suggesting the presence of domain-specific improvements and test characteristic changes over time. Conversely, the observed decline is primarily due to decreases in word comprehension and numerical reasoning tests, also reflecting specific abilities not attributable to changes in the latent GMA factor. Our findings further challenge the validity of claims that changes in the general factor drive the Flynn effect and its reversal. Furthermore, they caution against using these scores for longitudinal studies without accounting for changes in test characteristics.

Suggested Citation

  • Nordmo, Morten & Norrøne, Tore Nøttestad & Lang-Ree, Ole Christian, 2025. "Reevaluating the Flynn effect, and the reversal: Temporal trends and measurement invariance in Norwegian armed forces intelligence scores," Intelligence, Elsevier, vol. 110(C).
  • Handle: RePEc:eee:intell:v:110:y:2025:i:c:s0160289625000121
    DOI: 10.1016/j.intell.2025.101909
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289625000121
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.intell.2025.101909?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Dworak, Elizabeth M. & Revelle, William & Condon, David M., 2023. "Looking for Flynn effects in a recent online U.S. adult sample: Examining shifts within the SAPA Project," Intelligence, Elsevier, vol. 98(C).
    2. Saß, Steffani & Kampa, Nele & Köller, Olaf, 2017. "The interplay of g and mathematical abilities in large-scale assessments across grades," Intelligence, Elsevier, vol. 63(C), pages 33-44.
    3. Black, Sandra E. & Devereux, Paul J. & Salvanes, Kjell G., 2009. "Like father, like son? A note on the intergenerational transmission of IQ scores," Economics Letters, Elsevier, vol. 105(1), pages 138-140, October.
    4. Oberleiter, Sandra & Fries, Jonathan & Dejardin, Florence & Heller, Johanna & Schaible, Christian & Vetter, Marco & Voracek, Martin & Pietschnig, Jakob, 2024. "Inconsistent Flynn effect patterns may be due to a decreasing positive manifold: Cohort-based measurement-invariant IQ test score changes from 2005 to 2024," Intelligence, Elsevier, vol. 107(C).
    5. Wongupparaj, Peera & Wongupparaj, Rangsirat & Morris, Robin G. & Kumari, Veena, 2023. "Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns," Intelligence, Elsevier, vol. 98(C).
    6. Gonthier, Corentin & Grégoire, Jacques, 2022. "Flynn effects are biased by differential item functioning over time: A test using overlapping items in Wechsler scales," Intelligence, Elsevier, vol. 95(C).
    7. Gonthier, Corentin & Grégoire, Jacques & Besançon, Maud, 2021. "No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge," Intelligence, Elsevier, vol. 84(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodgers, Joseph Lee & Wänström, Linda & Ang, Siew, 2025. "Putting the Flynn effect under the microscope: Item-level patterns in NLSYC PIAT-math scores, 1986–2004," Intelligence, Elsevier, vol. 109(C).
    2. Rodgers, Joseph Lee, 2023. "Eleven articles and 27 authors pay tribute to James Flynn: A summary and critique of special issue articles on the Flynn effect," Intelligence, Elsevier, vol. 101(C).
    3. Lazaridis, Alexandros & Vetter, Marco & Pietschnig, Jakob, 2022. "Domain-specificity of Flynn effects in the CHC-model: Stratum II test score changes in Germanophone samples (1996–2018)," Intelligence, Elsevier, vol. 95(C).
    4. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    5. Justin Cook, C. & Fletcher, Jason M., 2015. "Understanding heterogeneity in the effects of birth weight on adult cognition and wages," Journal of Health Economics, Elsevier, vol. 41(C), pages 107-116.
    6. Erik Grönqvist & Björn Öckert & Jonas Vlachos, 2017. "The Intergenerational Transmission of Cognitive and Noncognitive Abilities," Journal of Human Resources, University of Wisconsin Press, vol. 52(4), pages 887-918.
    7. Armin Falk & Fabian Kosse & Pia Pinger & Hannah Schildberg-Hörisch & Thomas Deckers, 2021. "Socioeconomic Status and Inequalities in Children’s IQ and Economic Preferences," Journal of Political Economy, University of Chicago Press, vol. 129(9), pages 2504-2545.
    8. Kieron Barclay & Torkild Lyngstad & Dalton Conley, 2018. "The Production of Inequalities within Families and Across Generations: The Intergenerational Effects of Birth Order and Family Size on Educational Attainment," NBER Working Papers 24530, National Bureau of Economic Research, Inc.
    9. Rozinskaya, N. & Drobyshevskaya, T., 2022. "Quantitative estimates of intergenerational mobility," Journal of the New Economic Association, New Economic Association, vol. 57(5), pages 93-111.
    10. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    11. Lundborg, Petter & Majlesi, Kaveh, 2018. "Intergenerational transmission of human capital: Is it a one-way street?," Journal of Health Economics, Elsevier, vol. 57(C), pages 206-220.
    12. Okumura Tsunao & Usui Emiko, 2014. "Do Parents’ Social Skills Influence Their Children’s Sociability?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(3), pages 1081-1116, July.
    13. Gonthier, Corentin & Grégoire, Jacques, 2022. "Flynn effects are biased by differential item functioning over time: A test using overlapping items in Wechsler scales," Intelligence, Elsevier, vol. 95(C).
    14. Yang, Juan & Qiu, Muyuan, 2016. "The impact of education on income inequality and intergenerational mobility," China Economic Review, Elsevier, vol. 37(C), pages 110-125.
    15. John Ermisch & Chiara Pronzato, 2010. "Causal Effects of Parents’ Education on Children’s Education," CHILD Working Papers wp05_10, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    16. Kosse, Fabian & Pfeiffer, Friedhelm, 2012. "Impatience among preschool children and their mothers," Economics Letters, Elsevier, vol. 115(3), pages 493-495.
    17. Romain Aeberhardt & Élise Coudin & Roland Rathelot, 2017. "The heterogeneity of ethnic employment gaps," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(1), pages 307-337, January.
    18. Orla Doyle, 2017. "The First 2,000 Days and Child Skills: Evidence from a Randomized Experiment of Home Visiting," Working Papers 2017-054, Human Capital and Economic Opportunity Working Group.
    19. Sule Alan & Nazli Baydar & Teodora Boneva & Thomas Crossley & Seda Ertac, 2013. "Parental socialisation effort and the intergenerational transmission of risk preferences," IFS Working Papers W13/12, Institute for Fiscal Studies.
    20. Shu Wang & Xiao Yu & Kuo Zhang & Jipeng Pei & Karlis Rokpelnis & Xuelong Wang, 2022. "How does education affect intergenerational income mobility in Chinese society?," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 774-792, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:110:y:2025:i:c:s0160289625000121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.