IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v28y2000i6p527-542.html
   My bibliography  Save this article

Predicting type of sexual assault case closure from victim, suspect, and case characteristics

Author

Listed:
  • Bouffard, Jeffrey A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bouffard, Jeffrey A., 2000. "Predicting type of sexual assault case closure from victim, suspect, and case characteristics," Journal of Criminal Justice, Elsevier, vol. 28(6), pages 527-542.
  • Handle: RePEc:eee:jcjust:v:28:y:2000:i:6:p:527-542
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047-2352(00)00068-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Campbell, Bradley A. & Menaker, Tasha A. & King, William R., 2015. "The determination of victim credibility by adult and juvenile sexual assault investigators," Journal of Criminal Justice, Elsevier, vol. 43(1), pages 29-39.
    2. Lovell, Rachel E. & Klingenstein, Joanna & Du, Jiaxin & Overman, Laura & Sabo, Danielle & Ye, Xinyue & Flannery, Daniel J., 2023. "Using machine learning to assess rape reports: Sentiment analysis detection of officers' “signaling” about victims' credibility," Journal of Criminal Justice, Elsevier, vol. 88(C).
    3. Tellis, Katharine M. & Spohn, Cassia C., 2008. "The sexual stratification hypothesis revisited: Testing assumptions about simple versus aggravated rape," Journal of Criminal Justice, Elsevier, vol. 36(3), pages 252-261, July.
    4. Michael P Anastario & Monica Adhiambo Onyango & Joan Nyanyuki & Karen Naimer & Rachel Muthoga & Susannah Sirkin & Kelle Barrick & Martijn van Hasselt & Wilson Aruasa & Cynthia Kibet & Grace Omollo, 2014. "Time Series Analysis of Sexual Assault Case Characteristics and the 2007–2008 Period of Post-Election Violence in Kenya," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-6, August.
    5. Ericka Wentz & Kelsey Keimig, 2019. "Arrest and Referral Decisions in Sexual Assault Cases: The Influence of Police Discretion on Case Attrition," Social Sciences, MDPI, vol. 8(6), pages 1-13, June.
    6. Mourtgos, Scott M. & Adams, Ian T. & Mastracci, Sharon H., 2021. "Improving victim engagement and officer response in rape investigations: A longitudinal assessment of a brief training," Journal of Criminal Justice, Elsevier, vol. 74(C).

    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:28:y:2000:i:6:p:527-542. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.