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Linear and non-linear: An exploration of the variation in the functional form of verbal IQ and antisocial behavior as adolescents age into adulthood

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  • Silver, Ian A.

Abstract

Prior scholarship assessing the association between verbal IQ and antisocial behavior has generally assumed that the functional form of the association is linear. Nevertheless, if this assumption is not valid, the interpretations from prior scholarship could be biased. The current study re-examines the functional form of the association between verbal IQ and antisocial behavior to address three limitations in the prior scholarship and four research questions.

Suggested Citation

  • Silver, Ian A., 2019. "Linear and non-linear: An exploration of the variation in the functional form of verbal IQ and antisocial behavior as adolescents age into adulthood," Intelligence, Elsevier, vol. 76(C), pages 1-1.
    • Handle: RePEc:eee:intell:v:76:y:2019:i:c:1
    DOI: 10.1016/j.intell.2019.101375
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    References listed on IDEAS

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    1. Nedelec, Joseph L. & Park, Insun & Silver, Ian A., 2016. "The effect of the maturity gap on delinquency and drug use over the life course: A genetically sensitive longitudinal design," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 84-99.
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    4. Barnes, J.C. & Beaver, Kevin M., 2010. "An empirical examination of adolescence-limited offending: A direct test of Moffitt's maturity gap thesis," Journal of Criminal Justice, Elsevier, vol. 38(6), pages 1176-1185, November.
    5. Ttofi, Maria M. & Farrington, David P. & Piquero, Alex R. & Lösel, Friedrich & DeLisi, Matthew & Murray, Joseph, 2016. "Intelligence as a protective factor against offending: A meta-analytic review of prospective longitudinal studies," Journal of Criminal Justice, Elsevier, vol. 45(C), pages 4-18.
    6. Silver, Ian A. & Nedelec, Joseph L., 2018. "The moderating effects of intelligence: An examination of how IQ influences the association between environmental factors and antisocial behavior," Journal of Criminal Justice, Elsevier, vol. 54(C), pages 62-75.
    7. Jason M. Fletcher, 2008. "Adolescent depression: diagnosis, treatment, and educational attainment," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1215-1235.
    8. Ian J. Deary & Jian Yang & Gail Davies & Sarah E. Harris & Albert Tenesa & David Liewald & Michelle Luciano & Lorna M. Lopez & Alan J. Gow & Janie Corley & Paul Redmond & Helen C. Fox & Suzanne J. Row, 2012. "Genetic contributions to stability and change in intelligence from childhood to old age," Nature, Nature, vol. 482(7384), pages 212-215, February.
    9. Jason M. Fletcher, 2008. "Adolescent depression: diagnosis, treatment, and educational attainment," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1215-1235, November.
    10. Boutwell, Brian B. & Meldrum, Ryan C. & Petkovsek, Melissa A., 2017. "General intelligence in friendship selection: A study of preadolescent best friend dyads," Intelligence, Elsevier, vol. 64(C), pages 30-35.
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    1. O'Connell, Michael & Marks, Gary N., 2021. "Are the effects of intelligence on student achievement and well-being largely functions of family income and social class? Evidence from a longitudinal study of Irish adolescents," Intelligence, Elsevier, vol. 84(C).

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