As research continues to describe negative experiences and high case attrition within sexual assault cases reported to the police, it is important to better understand the role of first-responding police officers. This study surveyed a sample of sworn police officers ( N = 174) from one department in a midsized city in the Great Lakes region to examine the effect of individual police officer characteristics, rape myth acceptance (RMA), attributions of blame, and case characteristics from a hypothetical vignette, on officer perceptions of a "good" case and behavioral intentions. Results found that although RMA predicts both perceptions of the case and behavioral intentions to respond in ways indicative of perceived seriousness, RMA is mediated by attributions of suspect blame. Victim alcohol use was found to decrease an officer's likelihood of responding more vigorously, showing less likelihood of calling a detective or arresting the suspect, if identified. Future research should begin to connect not only case characteristics but also individual police officer characteristics, attitudes, and attributions of blame, with real case outcomes, in addition to hypothetical scenarios.
While extensive research has studied sexual assault reporting behaviors and described negative experiences with the criminal justice system among victim-survivors, fewer studies have explored police officer attitudes, knowledge, and thought processes that may affect victims' perceptions of negative interactions and unsatisfactory outcomes within reported sexual assault cases. This study explores police officer understanding of the definition of sexual assault and characteristics that influence their perceptions and response. Ten police officers were interviewed within one police department in a midsized city in the Great Lakes region. The study uses a modified grounded theory approach. Findings suggest that officers employ distinct schema of reported sexual assaults. Case characteristics, perceived credibility of the victim, and types of evidence formed categorizations of false reports, ambiguous cases, and legitimate sexual assaults. Police officers describe the ways in which perceptions of the case may or may not influence the response and point to areas for improvement within police procedure. The study findings provide insight into recommendations for improved police interviewing and response to reported sexual assaults.
This study examines police officers' perceptions of sexual assault and those who report sexual assault to the police, using a revised version of the Rape Myth Acceptance Scale along with a measure of social desirability bias. The study includes survey responses from 174 officers from 1 mid-sized police department in the Great Lakes region. Results show low to moderate levels of rape myth acceptance scores on the Rape Myth Acceptance Scale, with highest scores related to victim lying. Officers report very high estimates of false reporting, indicating some rape myth acceptance. Officer level of education, rank, and estimates of false reporting influence rape myth acceptance; however, social desirability bias is an important explanatory factor. Implications for measurement and training are discussed.
Sexual assault is a highly underreported crime with even fewer cases proceeding to the point of charges and prosecution, suggesting that sexual assault victims have less opportunity for legal justice than other crime victims. Case attrition may, in part, be due to negative attitudes and rape myth acceptance (RMA) in police decision making. Yet, little attention has been paid to examining the evidentiary and extralegal factors surrounding the case that contribute to police decision making and case outcomes through examination of police case files. This examination is necessary to address the issue of differential processing of sexual assault cases in the criminal justice system. This study uses police data of sexual assault case files from 1999 to 2014 ( N = 23,525) to examine the assault, victim, and detective characteristics that contribute to case outcomes of unfounded, cleared, and exceptionally cleared through arrest and victim refusal to prosecute. Logistic regression models tested 15 years of reported sexual assault data from one large police department and found that elements that correspond with RMA were predictive of unfounded, cleared, and exceptionally cleared case decisions, providing further indication that officers consider evidentiary but also extralegal factors in decision making. Overall, results support previous contentions that sexual assault victims have unequal access to legal justice, particularly victims possessing demographic and assault characteristics that do not align with stereotypical notions of rape. Implications for future research and policing practices are discussed.
Most sexual assault victims make the conscious decision to not report to the police. Concerns about the police appear to be prominent in victims' decision-making, but we do not know specifically what these concerns entail, and therefore cannot address them. A qualitative inquiry is needed to understand perceptions of the police in reporting decisions, from the voices of victims themselves. Participants (N = 175) responded to an open-ended survey question about their decision to not report to the police following sexual victimization. Analyses revealed that police perceptions shaped the decision to not report for 36% (n = 63) of participants. Nonreporting decisions related to the police fell into two themes: concerns of police treatment and previous/vicarious negative experiences with the police. We include recommendations for police and a call for alternative reporting options.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.