Journal article
Perceptions of behaviours in stranger rape cases: A sequence analysis approach
Journal of Sexual Aggression, Vol.23(3), pp.328-337
2017
Abstract
Psychological research into perceptions of sexual attacks, rape myths, and scripts usually involves questionnaires or qualitative reports. A new method for investigating the perceived dynamic sequence of behaviours between victim and attacker could help to outline common perceptions. The current study uses a Behaviour Sequence Analysis approach to investigate females’ perceptions of the interaction between a female victim and unknown, male attacker. A sample of females was asked to report their perceptions of the interaction between a female and stranger at night, leading up to a rape attack. The results indicated that females did not perceive weapons or excessive force to be likely behaviours. Also, females responded that most attackers would begin by first attempting to engage a female in conversation. An important contribution of the current research is to show temporal associations between behaviours. In addition, the current research highlights the strength of sequence analysis for understanding perceptions of dynamic patterns of violent behaviours.
Details
- Title
- Perceptions of behaviours in stranger rape cases: A sequence analysis approach
- Authors/Creators
- H.E. Ellis (Author/Creator)D.D. Clarke (Author/Creator) - University of NottinghamD.A. Keatley (Author/Creator) - University of Lincoln
- Publication Details
- Journal of Sexual Aggression, Vol.23(3), pp.328-337
- Publisher
- Taylor & Francis
- Identifiers
- 991005546338607891
- Copyright
- © 2017 National Organisation for the Treatment of Abusers
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Collaboration types
- Domestic collaboration
- Citation topics
- 6 Social Sciences
- 6.24 Psychiatry & Psychology
- 6.24.1084 Sexual Violence
- Web Of Science research areas
- Criminology & Penology
- ESI research areas
- Social Sciences, general