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The sexual stratification hypothesis revisited: Testing assumptions about simple versus aggravated rape

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  • Tellis, Katharine M.
  • Spohn, Cassia C.

Abstract

Previous research testing the sexual stratification hypothesis has included only African American and White victims and suspects. This study also included Hispanic victims and suspects. Using data on all sexual assaults reported to the San Diego Police from 1995 to 2002, the analysis focused on the effects of the racial/ethnic composition of the victim/offender dyad, the relationship between victim and offender, and type of rape on three sexual assault case outcomes: whether the victim declined prosecution, whether the police unfounded the crime, and whether the district attorney filed charges. A secondary analysis employed the liberation hypothesis to test whether the effect of race was confined to simple rape. Results indicated that the racial composition of the victim/offender dyad was largely insignificant in determining case outcomes, but that the relationship between victim and offender and whether the suspect and victim were under the influence of alcohol or drugs had strong effects.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jcjust:v:36:y:2008:i:3:p:252-261
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    References listed on IDEAS

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    1. Kingsnorth, Rodney & Lopez, John & Wentworth, Jennifer & Cummings, Debra, 1998. "Adult sexual assault: The role of racial/ethnic composition in prosecution and sentencing," Journal of Criminal Justice, Elsevier, vol. 26(5), pages 359-371, September.
    2. 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.
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    Cited by:

    1. 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).
    2. 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.

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