IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v47y2016icp123-132.html
   My bibliography  Save this article

High-risk sexual offenders: Towards a new typology

Author

Listed:
  • Kaseweter, Kimberley
  • Woodworth, Michael
  • Logan, Matt
  • Freimuth, Tabatha

Abstract

High-risk sexual offenders have been identified as a distinct group of sexual offenders due to the seriousness of their offenses, as well as their high probability of reoffending. However, high-risk sexual offenders themselves represent a complex and heterogeneous group about which relatively little is still known. The purpose of this research was to provide a more refined understanding of high-risk sexual offenders by developing a profile of their behavior using offender and offense characteristics.

Suggested Citation

  • Kaseweter, Kimberley & Woodworth, Michael & Logan, Matt & Freimuth, Tabatha, 2016. "High-risk sexual offenders: Towards a new typology," Journal of Criminal Justice, Elsevier, vol. 47(C), pages 123-132.
    • Handle: RePEc:eee:jcjust:v:47:y:2016:i:c:p:123-132
    DOI: 10.1016/j.jcrimjus.2016.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235216300691
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2016.08.002?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. Harris, Danielle A. & Smallbone, Stephen & Dennison, Susan & Knight, Raymond A., 2009. "Specialization and versatility in sexual offenders referred for civil commitment," Journal of Criminal Justice, Elsevier, vol. 37(1), pages 37-44, January.
    2. Pedneault, Amélie & Harris, Danielle A. & Knight, Raymond A., 2012. "Toward a typology of sexual burglary: Latent class findings," Journal of Criminal Justice, Elsevier, vol. 40(4), pages 278-284.
    3. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
    4. Deslauriers-Varin, Nadine & Beauregard, Eric, 2014. "Consistency in crime site selection: An investigation of crime sites used by serial sex offenders across crime series," Journal of Criminal Justice, Elsevier, vol. 42(2), pages 123-133.
    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. 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.
    2. Adrian O’Hagan & Arthur White, 2019. "Improved model-based clustering performance using Bayesian initialization averaging," Computational Statistics, Springer, vol. 34(1), pages 201-231, March.
    3. Lisa Blaydes, 2023. "Assessing the Labor Conditions of Migrant Domestic Workers in the Arab Gulf States," ILR Review, Cornell University, ILR School, vol. 76(4), pages 724-747, August.
    4. Jindřich Špička & Zdeňka Náglová, 2022. "Consumer segmentation in the meat market - The case study of Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 68-77.
    5. Nicholas T. Davis & Kirby Goidel & Yikai Zhao, 2021. "The Meanings of Democracy among Mass Publics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 849-921, February.
    6. Carter, Virginia & Derudder, Ben & Henríquez, Cristián, 2021. "Assessing local governments’ perception of the potential implementation of biophilic urbanism in Chile: A latent class approach," Land Use Policy, Elsevier, vol. 101(C).
    7. Assem Abu Hatab & Padmaja Ravula & Swamikannu Nedumaran & Carl-Johan Lagerkvist, 2022. "Perceptions of the impacts of urban sprawl among urban and peri-urban dwellers of Hyderabad, India: a Latent class clustering analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12787-12812, November.
    8. Lorena Charrier & Paola Berchialla & Paola Dalmasso & Alberto Borraccino & Patrizia Lemma & Franco Cavallo, 2019. "Cigarette Smoking and Multiple Health Risk Behaviors: A Latent Class Regression Model to Identify a Profile of Young Adolescents," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1771-1782, August.
    9. Raphaela Grafiadeli & Heide Glaesmer & Birgit Wagner, 2022. "Loss-Related Characteristics and Symptoms of Depression, Prolonged Grief, and Posttraumatic Stress Following Suicide Bereavement," IJERPH, MDPI, vol. 19(16), pages 1-10, August.
    10. Guangchao Feng, 2014. "Estimating intercoder reliability: a structural equation modeling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2355-2369, July.
    11. Paolo Brunori & Alain Trannoy & Caterina Francesca Guidi, 2021. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 358-383, February.
    12. Weissinger, Guy & Shelby Rivers, Alannah & Atte, Tita & Diamond, Guy, 2023. "Suicide risk screening in the school environment: Family factors and profiles," Children and Youth Services Review, Elsevier, vol. 145(C).
    13. Elena Narcisa Pogurschi & Carmen Daniela Petcu & Alexandru Eugeniu Mizeranschi & Corina Aurelia Zugravu & Daniela Cirnatu & Ioan Pet & Oana-Mărgărita Ghimpețeanu, 2022. "Knowledge, Attitudes and Practices Regarding Antibiotic Use and Antibiotic Resistance: A Latent Class Analysis of a Romanian Population," IJERPH, MDPI, vol. 19(12), pages 1-16, June.
    14. Lisa Oswald, 2024. "More than news! Mapping the deliberative potential of a political online ecosystem with digital trace data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    15. Tally Katz‐Gerro & Jordi López Sintas, 2019. "Mapping circular economy activities in the European Union: Patterns of implementation and their correlates in small and medium‐sized enterprises," Business Strategy and the Environment, Wiley Blackwell, vol. 28(4), pages 485-496, May.
    16. Lun Liu & Elisabete A Silva & Ying Long, 2019. "Block-level changes in the socio-spatial landscape in Beijing: Trends and processes," Urban Studies, Urban Studies Journal Limited, vol. 56(6), pages 1198-1214, May.
    17. Matthew Whitaker & Joshua Elliott & Marc Chadeau-Hyam & Steven Riley & Ara Darzi & Graham Cooke & Helen Ward & Paul Elliott, 2022. "Persistent COVID-19 symptoms in a community study of 606,434 people in England," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    18. Claudio Castro-López & Purificación Vicente-Galindo & Purificación Galindo-Villardón & Oscar Borrego-Hernández, 2022. "TAID-LCA: Segmentation Algorithm Based on Ternary Trees," Mathematics, MDPI, vol. 10(4), pages 1-16, February.
    19. Cato Waeterloos & Peter Conradie & Michel Walrave & Koen Ponnet, 2021. "Digital Issue Movements: Political Repertoires and Drivers of Participation among Belgian Youth in the Context of ‘School Strike for Climate’," Sustainability, MDPI, vol. 13(17), pages 1-19, September.
    20. Sylvia Frühwirth-Schnatter & Gertraud Malsiner-Walli, 2019. "From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 33-64, March.

    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:47:y:2016:i:c:p:123-132. 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: 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. RePEc uses bibliographic data supplied by the respective publishers.