IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v63y2019icp12-24.html
   My bibliography  Save this article

Using decision tree algorithms to screen individuals at risk of entry into sexual recidivism

Author

Listed:
  • Lussier, Patrick
  • Deslauriers-Varin, Nadine
  • Collin-Santerre, Justine
  • Bélanger, Roxane

Abstract

•Decision-tree algorithms (DTA) can be used to examine the risk profiles of convicted offenders.•DTA highlight the importance of the offender's age at assessment as key risk factor.•DTA findings suggest that risk factors of sexual recidivism vary across age-groups.•DTA provide comparable predictive value compared to that based on logistic regression.

Suggested Citation

  • Lussier, Patrick & Deslauriers-Varin, Nadine & Collin-Santerre, Justine & Bélanger, Roxane, 2019. "Using decision tree algorithms to screen individuals at risk of entry into sexual recidivism," Journal of Criminal Justice, Elsevier, vol. 63(C), pages 12-24.
  • Handle: RePEc:eee:jcjust:v:63:y:2019:i:c:p:12-24
    DOI: 10.1016/j.jcrimjus.2019.05.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235219301229
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcrimjus.2019.05.003?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. Mathesius, Jeffrey & Lussier, Patrick, 2014. "The Successful Onset of Sex Offending: Determining the Correlates of Actual and Official Onset of Sex Offending," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 134-144.
    2. Lussier, Patrick & Bouchard, Martin & Beauregard, Eric, 2011. "Patterns of criminal achievement in sexual offending: Unravelling the “successful” sex offender," Journal of Criminal Justice, Elsevier, vol. 39(5), pages 433-444.
    3. Amirault, Joanna & Lussier, Patrick, 2011. "Population heterogeneity, state dependence and sexual offender recidivism: The aging process and the lost predictive impact of prior criminal charges over time," Journal of Criminal Justice, Elsevier, vol. 39(4), pages 344-354, July.
    4. Lussier, Patrick & Blokland, Arjan, 2014. "The adolescence-adulthood transition and Robins’s continuity paradox: Criminal career patterns of juvenile and adult sex offenders in a prospective longitudinal birth cohort study," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 153-163.
    5. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    6. Lussier, Patrick & Gress, Carmen L.Z., 2014. "Community re-entry and the path toward desistance: A quasi-experimental longitudinal study of dynamic factors and community risk management of adult sex offenders," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 111-122.
    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. Mancini, Christina & Reckdenwald, Amy & Beauregard, Eric & Levenson, Jill S., 2014. "Sex industry exposure over the life course on the onset and frequency of sex offending," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 507-516.
    2. Koon-Magnin, Sarah, 2015. "Perceptions of and support for sex offender policies: Testing Levenson, Brannon, Fortney, and Baker’s findings," Journal of Criminal Justice, Elsevier, vol. 43(1), pages 80-88.
    3. Reckdenwald, Amy & Mancini, Christina & Beauregard, Eric, 2014. "Adolescent self-image as a mediator between childhood maltreatment and adult sexual offending," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 85-94.
    4. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    5. Benjamin Monnery, 2015. "The determinants of recidivism among ex-prisoners: a survival analysis on French data," European Journal of Law and Economics, Springer, vol. 39(1), pages 37-56, February.
    6. Naomi Rahimi-Levene & Tomer Ziv-Baran & Victoria Peer & Ahuva Golik & Abraham Kornberg & Ronit Zeidenstein & Maya Koren-Michowitz, 2018. "Hemoglobin transfusion trigger in an internal medicine department – A "real world" six year experience," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-9, March.
    7. Archana R. Panhalkar & Dharmpal D. Doye, 2020. "An approach of improving decision tree classifier using condensed informative data," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 431-445, December.
    8. Bas Donkers & Richard Paap & Jedid‐Jah Jonker & Philip Hans Franses, 2006. "Deriving target selection rules from endogenously selected samples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 549-562, July.
    9. Vicente-Cera, Isaías & Acevedo-Merino, Asunción & Nebot, Enrique & López-Ramírez, Juan Antonio, 2020. "Analyzing cruise ship itineraries patterns and vessels diversity in ports of the European maritime region: A hierarchical clustering approach," Journal of Transport Geography, Elsevier, vol. 85(C).
    10. Edward Kozłowski & Anna Borucka & Andrzej Świderski & Przemysław Skoczyński, 2021. "Classification Trees in the Assessment of the Road–Railway Accidents Mortality," Energies, MDPI, vol. 14(12), pages 1-15, June.
    11. Fatima Zahra Azayite & Said Achchab, 2019. "A hybrid neural network model based on improved PSO and SA for bankruptcy prediction," Papers 1907.12179, arXiv.org.
    12. Mathesius, Jeffrey & Lussier, Patrick, 2014. "The Successful Onset of Sex Offending: Determining the Correlates of Actual and Official Onset of Sex Offending," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 134-144.
    13. Debra Strong & Russell Cole & Angela D’Angelo & Juliette Henke & Yange Xue, "undated". "RPG Child and Family Outcomes: Fifth Annual Report to Congress," Mathematica Policy Research Reports 7bfa5cccd7a84c6ba26691d9b, Mathematica Policy Research.
    14. Adrien Ehrhardt & Christophe Biernacki & Vincent Vandewalle & Philippe Heinrich, 2019. "Feature quantization for parsimonious and interpretable predictive models," Papers 1903.08920, arXiv.org.
    15. Sebastián Feu & Javier García-Rubio & María de Gracia Gamero & Sergio J Ibáñez, 2019. "Task planning for sports learning by physical education teachers in the pre-service phase," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-18, March.
    16. Onur Doğan & Hakan Aşan & Ejder Ayç, 2015. "Use Of Data Mining Techniques In Advance Decision Making Processes In A Local Firm," European Journal of Business and Economics, Central Bohemia University, vol. 10(2), pages 6821:10-682, January.
    17. Ravi Kumar Jain & Ramachandran Natarajan & Amlan Ghosh, 2016. "Decision Tree Analysis for Selection of Factors in DEA: An Application to Banks in India," Global Business Review, International Management Institute, vol. 17(5), pages 1162-1178, October.
    18. Fabio B. LOSA & Pau ORIGONI, 2005. "The socio-cultural dimension of women's labour force participation choices in Switzerland," International Labour Review, International Labour Organization, vol. 144(4), pages 473-494, December.
    19. Colin D Steer & Patrick Bolton & Jean Golding, 2015. "Preconception and Prenatal Environmental Factors Associated with Communication Impairments in 9 Year Old Children Using an Exposome-Wide Approach," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-26, March.
    20. Arnold Tóth & Tímea Juhász & Botond Kálmán, 2020. "Determinants Of Financial Habits," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 14(1), pages 237-256.

    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:jcjust:v:63:y:2019:i:c:p:12-24. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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: http://www.elsevier.com/locate/jcrimjus .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.