IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v71y2018icp17-31.html
   My bibliography  Save this article

Cognitive abilities and antisocial behavior in prison: A longitudinal assessment using a large state-wide sample of prisoners

Author

Listed:
  • Silver, Ian A.
  • Nedelec, Joseph L.

Abstract

Cognitive abilities have been shown to have both direct and indirect effects on antisocial behavior in a wide variety of contexts, including inmate misconduct. Nevertheless, although the findings have been robust, no assessments have offered an examination of the association between cognitive abilities and longitudinal variation in the frequency of inmate misconduct during imprisonment. In an effort to address this gap within the literature, the current study directly examines the longitudinal association between cognitive abilities and the frequency of inmate misconduct during imprisonment. Analyses were conducted using data collected during the state-wide Evaluation of Ohio's Prison Programs. The analytical sample of N = 88,145 and the 5 ½ year period represent one of the largest and longest assessments of the frequency of inmate misconduct clusters within prison and the first to examine the influence of cognitive abilities on such clustering. The results of growth curve analyses (GCA) indicated that higher cognitive abilities were associated with a lower intercept and a more gradual decline in the frequency of misconduct over time when compared to individuals with lower cognitive abilities. This pattern was also partially supported by the misconduct clusters estimated during latent class growth analysis (LCGA). Overall, the findings indicate that cognitive abilities affect both the clustering and the frequency of prison misconduct.

Suggested Citation

  • Silver, Ian A. & Nedelec, Joseph L., 2018. "Cognitive abilities and antisocial behavior in prison: A longitudinal assessment using a large state-wide sample of prisoners," Intelligence, Elsevier, vol. 71(C), pages 17-31.
    • Handle: RePEc:eee:intell:v:71:y:2018:i:c:p:17-31
    DOI: 10.1016/j.intell.2018.09.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289618300886
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2018.09.004?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Morris, Robert G. & Carriaga, Michael L. & Diamond, Brie & Piquero, Nicole Leeper & Piquero, Alex R., 2012. "Does prison strain lead to prison misbehavior? An application of general strain theory to inmate misconduct," Journal of Criminal Justice, Elsevier, vol. 40(3), pages 194-201.
    2. Hochstetler, Andy & DeLisi, Matt, 2005. "Importation, deprivation, and varieties of serving time: An integrated-lifestyle-exposure model of prison offending," Journal of Criminal Justice, Elsevier, vol. 33(3), pages 257-266.
    3. P. Diggle & M. G. Kenward, 1994. "Informative Drop‐Out in Longitudinal Data Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(1), pages 49-73, March.
    4. Cihan, Abdullah & Sorensen, Jonathan & Chism, Kimberly A., 2017. "Analyzing the offending activity of inmates: Trajectories of offense seriousness, escalation, and de-escalation," Journal of Criminal Justice, Elsevier, vol. 50(C), pages 12-18.
    5. Steiner, Benjamin & Butler, H. Daniel & Ellison, Jared M., 2014. "Causes and correlates of prison inmate misconduct: A systematic review of the evidence," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 462-470.
    6. Reidy, Thomas J. & Cihan, Abdullah & Sorensen, Jon R., 2017. "Women in prison: Investigating trajectories of institutional female misconduct," Journal of Criminal Justice, Elsevier, vol. 52(C), pages 49-56.
    7. Wright, Richard A. & Miller, J. Mitchell, 1998. "Taboo until today? The coverage of biological arguments in criminology textbooks, 1961 to 1970 and 1987 to 1996," Journal of Criminal Justice, Elsevier, vol. 26(1), pages 1-19.
    8. 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.
    9. 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.
    10. 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.
    11. Boccio, Cashen M. & Beaver, Kevin M. & Schwartz, Joseph A., 2018. "The role of verbal intelligence in becoming a successful criminal: Results from a longitudinal sample," Intelligence, Elsevier, vol. 66(C), pages 24-31.
    12. Karwowski, Maciej & Kaufman, James C. & Lebuda, Izabela & Szumski, Grzegorz & Firkowska-Mankiewicz, Anna, 2017. "Intelligence in childhood and creative achievements in middle-age: The necessary condition approach," Intelligence, Elsevier, vol. 64(C), pages 36-44.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).

    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. Reidy, Thomas J. & Sorensen, Jon R. & Cihan, Abdullah, 2018. "Institutional misconduct among juvenile offenders serving a blended sentence," Journal of Criminal Justice, Elsevier, vol. 57(C), pages 99-105.
    2. Reidy, Thomas J. & Cihan, Abdullah & Sorensen, Jon R., 2017. "Women in prison: Investigating trajectories of institutional female misconduct," Journal of Criminal Justice, Elsevier, vol. 52(C), pages 49-56.
    3. 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.
    4. Cihan, Abdullah & Sorensen, Jonathan & Chism, Kimberly A., 2017. "Analyzing the offending activity of inmates: Trajectories of offense seriousness, escalation, and de-escalation," Journal of Criminal Justice, Elsevier, vol. 50(C), pages 12-18.
    5. Steiner, Benjamin & Wooldredge, John, 2015. "Racial (in)variance in prison rule breaking," Journal of Criminal Justice, Elsevier, vol. 43(3), pages 175-185.
    6. Pinheiro, Marina & Gonçalves, Rui Abrunhosa & Cunha, Olga, 2021. "Criminal lifestyle, psychopathy, and prison adjustment among female inmates," Journal of Criminal Justice, Elsevier, vol. 76(C).
    7. Toman, Elisa L. & Cochran, Joshua C. & Cochran, John K. & Bales, William D., 2015. "The implications of sentence length for inmate adjustment to prison life," Journal of Criminal Justice, Elsevier, vol. 43(6), pages 510-521.
    8. 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.
    9. Valerio Baćak & Edward H. Kennedy, 2019. "Principled Machine Learning Using the Super Learner: An Application to Predicting Prison Violence," Sociological Methods & Research, , vol. 48(3), pages 698-721, August.
    10. Shaffer, Catherine & McCuish, Evan & Corrado, Raymond R. & Behnken, Monic P. & DeLisi, Matt, 2015. "Psychopathy and violent misconduct in a sample of violent young offenders," Journal of Criminal Justice, Elsevier, vol. 43(4), pages 321-326.
    11. David M. Murray & Jonathan L. Blitstein, 2003. "Methods To Reduce The Impact Of Intraclass Correlation In Group-Randomized Trials," Evaluation Review, , vol. 27(1), pages 79-103, February.
    12. Patrick E. B. FitzGerald, 2002. "Extended Generalized Estimating Equations for Binary Familial Data with Incomplete Families," Biometrics, The International Biometric Society, vol. 58(4), pages 718-726, December.
    13. Pourahmadi, Mohsen & Daniels, Michael J. & Park, Trevor, 2007. "Simultaneous modelling of the Cholesky decomposition of several covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 98(3), pages 568-587, March.
    14. Zaalberg, Ap, 2019. "The effects of nutrients and neurotoxicants on aggressive behavior," Journal of Criminal Justice, Elsevier, vol. 65(C).
    15. Sinha, Sanjoy K. & Kaushal, Amit & Xiao, Wenzhong, 2014. "Inference for longitudinal data with nonignorable nonmonotone missing responses," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 77-91.
    16. E. Michael Foster & Grace Y. Fang, 2004. "Alternative Methods for Handling Attrition," Evaluation Review, , vol. 28(5), pages 434-464, October.
    17. Suonpää, Karoliina & Aaltonen, Mikko & van der Geest, Victor, 2020. "Crime and income trajectories preceding lethal and non-lethal violence," Journal of Criminal Justice, Elsevier, vol. 68(C).
    18. Mette Ejrnæs & Anders Holm, 2006. "Comparing Fixed Effects and Covariance Structure Estimators for Panel Data," Sociological Methods & Research, , vol. 35(1), pages 61-83, August.
    19. Gignac, Gilles E. & Zajenkowski, Marcin, 2021. "The frustrated narcissist: Intelligence may reduce the chances of developing narcissistic rivalry," Intelligence, Elsevier, vol. 87(C).
    20. Baron, Stephen W. & Forde, David R. & Kay, Fiona M., 2007. "Self-control, risky lifestyles, and situation: The role of opportunity and context in the general theory," Journal of Criminal Justice, Elsevier, vol. 35(2), pages 119-136.

    More about this item

    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:71:y:2018:i:c:p:17-31. 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.