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The future of intelligence: The role of specific abilities

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  • Coyle, Thomas R.
  • Greiff, Samuel

Abstract

This contribution to the Special Issue on the Future of Intelligence focuses on specific abilities. Specific abilities are distinct abilities (e.g., math, verbal, spatial) that differ conceptually and empirically from general intelligence (g; variance common to tests). Two specific abilities are discussed: (a) ability tilt, defined as an ability pattern based on differences in math and verbal scores on standardized tests (e.g., SAT and ACT), yielding math tilt (math > verbal) and verbal tilt (verbal > tilt); and (b) complex problem solving (CPS), defined as the ability to adapt to novel and dynamically changing environments. Although g is generally a strong predictor of life outcomes, tilt and CPS predict criteria beyond g. Math tilt predicts science, technology, engineering, and math (STEM) criteria (e.g., jobs, majors, aptitudes), whereas verbal tilt predicts humanities criteria. Similarly, CPS abilities (e.g., knowledge acquisition and knowledge application) predict academic achievement and job performance after controlling for g. CPS and tilt can be integrated into theories of intelligence such as Cattell-Horn-Carroll theory and investment theories. Future research should consider (a) reporting norms for tilt and CPS in testing programs (e.g., SAT and ACT); (b) using tilt and CPS to reduce disparate impact between groups; (c) using computerized testing to track tilt and CPS over time; and (d) integrating tilt and CPS into trait complexes involving personality traits, vocational interests, and specific abilities.

Suggested Citation

  • Coyle, Thomas R. & Greiff, Samuel, 2021. "The future of intelligence: The role of specific abilities," Intelligence, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000337
    DOI: 10.1016/j.intell.2021.101549
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    References listed on IDEAS

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    1. Coyle, Thomas R., 2019. "Tech tilt predicts jobs, college majors, and specific abilities: Support for investment theories," Intelligence, Elsevier, vol. 75(C), pages 33-40.
    2. Coyle, Thomas R., 2018. "Non-g residuals of group factors predict ability tilt, college majors, and jobs: A non-g nexus," Intelligence, Elsevier, vol. 67(C), pages 19-25.
    3. Coyle, Thomas R., 2021. "White-Black differences in tech tilt: Support for Spearman's law and investment theories," Intelligence, Elsevier, vol. 84(C).
    4. Coyle, Thomas R., 2020. "Sex differences in tech tilt: Support for investment theories," Intelligence, Elsevier, vol. 80(C).
    5. Lotz, Christin & Scherer, Ronny & Greiff, Samuel & Sparfeldt, Jörn R., 2017. "Intelligence in action – Effective strategic behaviors while solving complex problems," Intelligence, Elsevier, vol. 64(C), pages 98-112.
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    Cited by:

    1. Coyle, Thomas R., 2022. "Sex differences in spatial and mechanical tilt: Support for investment theories," Intelligence, Elsevier, vol. 95(C).
    2. Coyle, Thomas R., 2023. "Sex differences in tech tilt and academic tilt in adolescence: Processing speed mediates age-tilt relations," Intelligence, Elsevier, vol. 100(C).
    3. Feraco, Tommaso & Cona, Giorgia, 2022. "Differentiation of general and specific abilities in intelligence. A bifactor study of age and gender differentiation in 8- to 19-year-olds," Intelligence, Elsevier, vol. 94(C).
    4. Procopio, Francesca & Zhou, Quan & Wang, Ziye & Gidziela, Agnieska & Rimfeld, Kaili & Malanchini, Margherita & Plomin, Robert, 2022. "The genetics of specific cognitive abilities," Intelligence, Elsevier, vol. 95(C).
    5. Haier, Richard J., 2021. "Are we thinking big enough about the road ahead? Overview of the special issue on the future of intelligence research," Intelligence, Elsevier, vol. 89(C).
    6. Tommaso Feraco & Nicole Casali & Chiara Meneghetti & Samuel Greiff & Giorgia Cona, 2023. "Is Good Character All that Counts? A Comparison Between the Predictive Role of Specific Strengths and a General Factor of “Good Character” Using a Bifactor Model," Journal of Happiness Studies, Springer, vol. 24(7), pages 2353-2376, October.
    7. Becker, David & Coyle, Thomas R. & Minnigh, Tyler L. & Rindermann, Heiner, 2022. "International differences in math and science tilts: The stability, geography, and predictive power of tilt for economic criteria," Intelligence, Elsevier, vol. 92(C).
    8. Wai, Jonathan & Lakin, Joni M. & Kell, Harrison J., 2022. "Specific cognitive aptitudes and gifted samples," Intelligence, Elsevier, vol. 92(C).

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