Abstract

The attrition of rape cases within the criminal justice system is driven by different factors. We aimed to describe the patterns of rape case attrition and associated factors in South Africa. We analysed a national sample of 3,952 cases reported in 2012. We found that 35 per cent of cases were closed by police, 31 per cent were declined by the prosecutors, 16 per cent were enrolled but later struck off the roll, 19 per cent went on trial and 9 per cent were finalised with conviction. Aggravating circumstances, availability of forensic evidence and success at perpetrator arrests were key for case progression and increased likelihood of convictions. Thorough police investigations and continual training which addresses negative gender or other rape stereotyping are critical to ensure rape convictions.

BACKGROUND

Attrition of rape cases after being reported to the police is a global problem (Lea et al. 2003; Jewkes et al. 2009; Morabito et al. 2019b). Research from diverse countries shows that the ideal of rape perpetrators being arrested, charged, taken to trial and convicted of rape with a hefty sentence is only a path traversed in a small minority of cases. The Tracking Justice Study which investigated attrition of reported cases in one South African province in 2003 found that out of every 100 complaints of rape registered with the police, 50 arrests were made, 43 accused were charged, 17 trials commenced and 6 perpetrators were found guilty (Vetten 2008; Vetten et al. 2008). It also found that DNA results were only available for 2 per cent of cases and made no difference to trial outcomes (Vetten 2008; Vetten et al. 2008). However, finding injuries and documenting them on medicolegal forms (referred to as J88 forms) significantly enhanced the likelihood of conviction, even after adjusting for other factors (Jewkes et al. 2009). The conviction rate reported in Tracking Justice (6 per cent) was very similar to the 6.5 per cent convicted in six jurisdictions in the United States (Morabito et al. 2019b) and 9 per cent reported in England and Wales in 1997 (Harris and Grace 1999). In these three countries, cases were particularly vulnerable to attrition at the initial police investigation phase (Lea et al. 2003; Artz and Smythe 2007a; 2007b; Vetten et al. 2008; Jewkes et al. 2009; Morabito et al. 2019b) Whilst in some cases the perpetrator is unknown, research in multiple countries has shown that a combination of factors, only some of which relate to the law influence the progress of rape cases across the criminal justice system (CJS) (Lea et al. 2003; Artz and Smythe 2007a; 2007b; Jewkes et al. 2009; Alderden and Ullman 2012; Spohn et al. 2014; Smythe 2015).

There have been legal reforms in many countries in response to the identified problem of rape case attrition. This includes changes to the administration of the criminal justice system and development of more victim-friendly services with better approaches to gathering forensic evidence. South Africa has introduced similar measures to reduce case attrition including legislation in the form of the Criminal Law (Sexual Offences and Related Matters) Amendment Act 32 in 2007 (Republic of South Africa 2007), training for health professionals (Jina et al. 2008) and rolling out one stop centres (Thuthuzela Care Centres) and Sexual Offences Courts to improve services for survivors and conviction rates (National Prosecuting Authority 2014). These measures are important for rape survivors and it sends a key message to society about a desire to end impunity, however there is limited evidence of impact on the overall outcomes of cases within the CJS because, to our knowledge few studies focusing on rape case attrition have been conducted since the law reforms. The National Prosecuting Authority commissioned research aimed to better understand rape case attrition and its drivers in the South African CJS. We report findings of this research and will describe attrition in rape cases reported to the police in 2012 and factors underlying attrition at the stages of police investigation, prosecutorial case enrolment and trial outcomes.

South African Sexual Offences legislation and directives

The 2007 Criminal Law (Sexual Offences and Related Matters) Amendment Act 32 provides definitions of sexual offences, directs an integrated and multi-sectoral approach to handling cases and seeks to provide justice for victims in a supportive victim-friendly environment (Republic of South Africa 2007). Sexual offences include a broad range of acts and rape or compelled rape are a distinct category of these. This legislation has a broad, gender-neutral definition of rape that encompasses any sexual penetration with a body part or object into the mouth, anus or vagina of another without consent. The legal definition of rape also encompasses a wide range of circumstances in which sexual acts are definitionally coerced including when the victim is threatened, is intoxicated or drugged, unconscious, when the perpetrator impersonates another or obtains consent by fraud, and when sex is with a minor (age under 12, and at 12–15 years with some caveats if the other party is also under 16) or a person with intellectual disabilities (Republic of South Africa 2007). The category of compelled rape is defined as when a person is coerced to sexually penetrate another, in which case the perpetrator of rape is defined as the person forcing the sexual act (Republic of South Africa 2007).

There are a set of accompanying National Directives and Instructions on examining and caring for survivors. When a case is opened, the South African Police Service (SAPS) is required to arrange a medico-legal examination of the victim, with findings documented on the J88 form and the health care provider must complete a Sexual Assault Evidence Collection Kit (SAECK) which must be submitted by the police to the Forensic Scientific Laboratory (FSL). According to the National Directives for the SAPS, detectives must conduct a thorough and professional investigation of every reported case in an appropriate, efficient and sensitive manner (Republic of South Africa 2007; South African Police Services 2008; National Prosecuting Authority South Africa 2014). Detectives must visit and compile a description of the place of rape, collect forensic evidence and send it to the FSL for analysis (South African Police Services 2008). They must obtain testimonial evidence from the victims, witnesses and identified perpetrators, captured as a written statement under oath. Detectives must liaise with the prosecutor during the investigation and hand the case file over to commence pre-trial proceedings (South African Police Services 2008).

On receiving a case file (commonly referred to as a docket) a prosecutor should assess the evidence collected and decide whether it is adequate for case enrolment at court and trial (Republic of South Africa 2007; National Prosecuting Authority South Africa 2014). To enrol a case, the prosecutor has to be satisfied that a prima facie case exists and that the evidence links the perpetrator to the crime (Republic of South Africa 2007; National Prosecuting Authority South Africa 2014). If it is not, the prosecutor should advise the detective to collect further evidence, and where this is not possible, decline case enrolment (Republic of South Africa 2007; National Prosecuting Authority South Africa 2014). The case might then be presented in court; however, cases can be withdrawn at any stage up to the commencement of the trial and re-enrolled later if further evidence becomes available.

Attrition points within the South African CJS

Attrition of rape cases within the criminal justice system is inevitable. Some cases cannot feasibly progress to an arrest, as there are no clues to the accused’s identity. For other cases, the case opened by a complainant is assessed at various points on its merits, both by the complainant or by officials. A decision is taken either to proceed within the system, or if the benefits of this are doubtful, a decision is made not to proceed. Consequently, the potential attrition points include: at the reporting stage, where a police officer may use their discretion not to open a case if they are not convinced of the reliability of the complainant’s statement; at the police investigation stage, when either the suspect remains unidentified and chances of locating or arresting the suspect are deemed nil or very low, or when the victim is subsequently untraceable or expresses disinterest in pursuing the case leading to police closing the case as undetected or closed due to victim withdrawal; at the prosecution stage, when the prosecutors decline to prosecute for different reasons, including the low strength of evidence collected; prior to the start of trial, the prosecutor may withdraw the case due to the lack of co-operation from the complainant, the disappearance of the perpetrators or other reasons; or after the trial has started there is failure to establish a prima facie case or other reasons leads to the case being discharged by the court.

Framework for assessing factors associated with rape case attrition

Rape case attrition occurs due to the interplay of multiple factors related to the victims’ characteristics and their accounts about alleged perpetrators and circumstances of the rape incident, which are assessed at the different stages of the criminal justice by actors including the police, prosecutors and the judiciary. Evidentiary assessments are supposed to be standard and based on set investigative, prosecutorial and judicial guidelines. However, individual criminal justice actors’ perceptions and motivations, can influence the success, or otherwise, of a case. The highest rape case occurs at the police investigation phase driven by victim characteristics and circumstances of the incident, investigative rigor, police member attitudes towards gender norms and acceptance of rape myths, availability of resources and staffing in police stations and cooperation between different police clusters and other actors in the criminal justice system (Watson 2015). Victims’ participation, which is affected by their recall and testimonial evidence of the incidents, their own agency, confidence in the criminal justice system to deliver justice or discouragement by significant others, also impacts case attrition (Smythe 2004; 2015). Perpetrator characteristics may also pose challenges for investigations—many non-arrests of stranger suspects and case closures as ‘undetected’ are because the complainant cannot identify the perpetrator, or the police lose contact with alleged perpetrators. Forensic evidence collection, analysis and case linkage may mitigate the challenges of perpetrator non-identification. However, this is dependent on investigator adherence to policing guidelines. The availability and use of forensic evidence in trials is also dependent on timing and the personnel’s ability to collect evidence, the quality of the evidence collection and the capacity of the forensic science laboratory to process the samples.

Prosecutors and judicial officers may also hold misogynistic stereotypes, blame victims, be skeptical of complainants’ reports and view victims as not credible, which negates the progression and outcomes of cases at the respective system stages. Specific beliefs regarding rape victims and their behaviour during and following rape, also referred to as rape myths, may form a basis for not proceeding with cases. Prosecutors may err towards selecting cases that fit into the stereotypical ‘real rapes’ with ‘genuine victims’ (Du Mont et al. 2003). In this way, the victim characteristics, circumstances of the rape and rape stereotypes are key to prosecutors’ views about the cases’ chances of conviction. Prosecutors may screen out cases that are unlikely to result in a conviction due to questions about the victim’s character, the victim’s behaviour at the time of the incident and the victim’s credibility. While victim characteristics play a role in attrition at the prosecution stage, the decision about whether to institute criminal proceedings depends on the investigative rigor, quality and strength of evidence collected by police. The strength of a case depends on the extent to which there is sufficient and admissible evidence to provide a reasonable prospect of successful prosecution (Watson 2015). Cases where procedural and evidentiary requirements for trial cannot be met are either dismissed or culminate in non-conviction (Figure 1).

Framework for factors associtated with attrition. Alderden and Long, 2016, Alderden, and Ullman 2012, Artz and Smythe, D. 2007a, Artz and Smythe, 2007b, Bougard and Booyens 2015, Du Mont et al. 2003, Forr et al. 2018, Frohman 1997, Gregory and Lees 1999, Grubb and Turner 2012, Hansen 2019, Jina et al. 2011, Kaiser et al.,2017, Koss 1985, Koss et al. 1988, Krahe et al. 2008, Lynch et al 2013, Maddox et al. 2011, Morabito et al, 2019a, Nagel et al. 2005, Nishith et al. 2001,O’Neal and Spohn, 2017, O’Neal et al. 2015, Santtila et al. 2004, Siller 2018, Smythe, 2004, Smythe 2015, Snyder 2000, Spohn et al. 2001, Spohn et al. 2014, Spohn and Tellis, 2019, Swemmer, 2020, Taylor and Gassner, 2010, Ullman et al. 2005, Van der Watt et al. 2015, Vetten et al. 2008, Vetten and Haffejee, 2005, Waterhouse et al. 2016, Watson 2015, Woodhams, and Cooke, 2013, Woodhams et al. 2012, Woodhams et al. 2019, Wong, and Balemba, 2016, *Point of highest attrition (Artz and Smythe, 2007b, Munro and Kelly, 2009, Daly and Bouhours, 2010, Burman et al., 2009, Vetten 2008; Vetten et al. 2008, Lea et al., 2003);**Point of second highest attrition Coloured arrows depict the linkages between factors and impacts on attrition at the CJS stages. Notes: In Some instances, a rape victim may be seen at a health facility first and have evidence collected before reporting to the police for the purpose of this paper, we used a guilty verdict as the outcome and did nor include sentencing outcomes in the framework.
Fig. 1.

METHODS

Study design and sampling

The study used a retrospective multi-stage random sampling study design so that cases were identified in provinces, clusters and in individual police stations. The retrospective study design and use of rape cases reported at police stations across the country in 2012 provided the opportunity to track the progression of cases over time without interfering with processing of cases. By the time of the study, the majority of cases had been closed for investigation and processing. From a total 1,134 police stations across nine South African provinces, we randomly selected 172 police stations from a national list using a strategy of probability proportionate to size, stratified by province and police station rape case load (Machisa et al. 2017). The sample size calculation was based on selection of a sample of 4,300 cases with an estimated 500 cases in each of eight provinces and 300 cases in the ninth (least populous) province. At each selected police station, researchers obtained the list of all rape matter cases (referred to as ‘rape’ in this paper) reported for the period 1 January to 31 December 2012 and systemically selected 30 case numbers (Machisa et al. 2017). Systematic selection is a probability sampling approach that involved, choosing a random starting point on a case list and then selecting cases with a fixed, periodic interval. The sampling interval was calculated by dividing number of cases on each police station list by our desired sample size of 30 cases per police station. In police stations where the total rape cases for 2012 were less than 30, all case numbers were included into the study (Machisa et al. 2017). Some of the selected dockets could not be found in docket archives and substantial parts of the dockets were not available so that they could not be included into the sample (N = 348). The final sample of cases that we studied was 3,952, which is 92 per cent of the targeted sample.

Data collection

Members of police assisted trained research assistants to access available dockets from archives. The research assistants used a structured paper-based forms to capture detailed information from these. Dockets typically contained background information about the victim including race, age and biological sex, circumstances of the assault contained in a sworn statement, and often characteristics of the perpetrators documented in statements. Against a backdrop of long history of apartheid and racial segregation, South African official race classifications for the population are still divided into five major racial categories: Black Africans, Whites, Indians, Coloreds, who have mixed White and Black descent, and ‘Other’ for race groups who don’t fit neatly into the four main race groups (Statistics South Africa 2012). Dockets also contained case management information including the detective’s investigation diary, detection and arrests of perpetrators, the medical examination or J88 form, facial composites, use and processing of the Sexual Assault Evidence Collection Kit (SAECKs), and DNA evidence by the Forensic Science Laboratory (FSL), charge sheet, court hearing dates, notes showing case progression and decisions made in respect of the prosecution and trial stages, and trial outcome (if any). As mentioned, dockets must contain charge sheets which outline the various crimes the perpetrator will be prosecuted for, otherwise these were collected from the Courts where the trial took place. Data were collected from different documents in the docket. Table 1 shows the data variables that we collected and their source documents.

Table 1

Stages of case progression, source documents and data variables collected

Type of dataSource documentData variables
Administrative detailsAll documentsCase number, police station and FCS cluster name
Investigator name and rank
Details of the victim, perpetrator(s) and incidentPreamble to statement, handwritten victim statementVictim characteristics:
• Age, Sex, Disability, Race, Occupation-adults
• Perpetrator characteristics
• Age, Sex, Race, Relationship of perpetrator to victim
• Number of perpetrators, presence of colluders, criminal history of identified perpetrators
• Details of the incident
• Date and time, Place of rape
• Victim activity prior offence, Victim intoxication, Victim resistance
• Perpetrator tactics—Abduction, Physical violence, Non-violent tactics, Display/use of weapons
• Presence of witnesses
ReportingPreamble to statementImmediate actions of victim after offence
Time of reporting
InvestigationInvestigation diary, medical examination form (J88), Letters from the Forensic LaboratoryTime and collection of statements, forensic and medical evidence
• First report statement, witness statements
• Visiting place of rape, collection of forensic specimens, processing and submission of specimens to forensic laboratory, results from forensic laboratory
• Medical examination—service provider details, injuries data
• Identification of perpetrators
Taking supervisor investigative instructions
Arrest of perpetrators and reasons for non-arrest
Details of case closure or withdrawal
ProsecutionCharge sheet, Investigation diaryTime and outcome of police referral for prosecution
• Reasons for prosecutor declining case
Timing and details of perpetrator charges
AdjudicationCharge sheet, Investigation diary, Court transcriptsDetails about
• Bail, Plea bargains, Trial settings
• Case withdrawal or dismissals, Trial outcomes
• Sentencing, Appeals
AttritionAttrition points included: Early withdrawal of case by victim, Police closure without referring to prosecutors, Prosecutor decline, Withdrawal of enrolled cases prior to trial
End of trial and associated outcomes
Type of dataSource documentData variables
Administrative detailsAll documentsCase number, police station and FCS cluster name
Investigator name and rank
Details of the victim, perpetrator(s) and incidentPreamble to statement, handwritten victim statementVictim characteristics:
• Age, Sex, Disability, Race, Occupation-adults
• Perpetrator characteristics
• Age, Sex, Race, Relationship of perpetrator to victim
• Number of perpetrators, presence of colluders, criminal history of identified perpetrators
• Details of the incident
• Date and time, Place of rape
• Victim activity prior offence, Victim intoxication, Victim resistance
• Perpetrator tactics—Abduction, Physical violence, Non-violent tactics, Display/use of weapons
• Presence of witnesses
ReportingPreamble to statementImmediate actions of victim after offence
Time of reporting
InvestigationInvestigation diary, medical examination form (J88), Letters from the Forensic LaboratoryTime and collection of statements, forensic and medical evidence
• First report statement, witness statements
• Visiting place of rape, collection of forensic specimens, processing and submission of specimens to forensic laboratory, results from forensic laboratory
• Medical examination—service provider details, injuries data
• Identification of perpetrators
Taking supervisor investigative instructions
Arrest of perpetrators and reasons for non-arrest
Details of case closure or withdrawal
ProsecutionCharge sheet, Investigation diaryTime and outcome of police referral for prosecution
• Reasons for prosecutor declining case
Timing and details of perpetrator charges
AdjudicationCharge sheet, Investigation diary, Court transcriptsDetails about
• Bail, Plea bargains, Trial settings
• Case withdrawal or dismissals, Trial outcomes
• Sentencing, Appeals
AttritionAttrition points included: Early withdrawal of case by victim, Police closure without referring to prosecutors, Prosecutor decline, Withdrawal of enrolled cases prior to trial
End of trial and associated outcomes
Table 1

Stages of case progression, source documents and data variables collected

Type of dataSource documentData variables
Administrative detailsAll documentsCase number, police station and FCS cluster name
Investigator name and rank
Details of the victim, perpetrator(s) and incidentPreamble to statement, handwritten victim statementVictim characteristics:
• Age, Sex, Disability, Race, Occupation-adults
• Perpetrator characteristics
• Age, Sex, Race, Relationship of perpetrator to victim
• Number of perpetrators, presence of colluders, criminal history of identified perpetrators
• Details of the incident
• Date and time, Place of rape
• Victim activity prior offence, Victim intoxication, Victim resistance
• Perpetrator tactics—Abduction, Physical violence, Non-violent tactics, Display/use of weapons
• Presence of witnesses
ReportingPreamble to statementImmediate actions of victim after offence
Time of reporting
InvestigationInvestigation diary, medical examination form (J88), Letters from the Forensic LaboratoryTime and collection of statements, forensic and medical evidence
• First report statement, witness statements
• Visiting place of rape, collection of forensic specimens, processing and submission of specimens to forensic laboratory, results from forensic laboratory
• Medical examination—service provider details, injuries data
• Identification of perpetrators
Taking supervisor investigative instructions
Arrest of perpetrators and reasons for non-arrest
Details of case closure or withdrawal
ProsecutionCharge sheet, Investigation diaryTime and outcome of police referral for prosecution
• Reasons for prosecutor declining case
Timing and details of perpetrator charges
AdjudicationCharge sheet, Investigation diary, Court transcriptsDetails about
• Bail, Plea bargains, Trial settings
• Case withdrawal or dismissals, Trial outcomes
• Sentencing, Appeals
AttritionAttrition points included: Early withdrawal of case by victim, Police closure without referring to prosecutors, Prosecutor decline, Withdrawal of enrolled cases prior to trial
End of trial and associated outcomes
Type of dataSource documentData variables
Administrative detailsAll documentsCase number, police station and FCS cluster name
Investigator name and rank
Details of the victim, perpetrator(s) and incidentPreamble to statement, handwritten victim statementVictim characteristics:
• Age, Sex, Disability, Race, Occupation-adults
• Perpetrator characteristics
• Age, Sex, Race, Relationship of perpetrator to victim
• Number of perpetrators, presence of colluders, criminal history of identified perpetrators
• Details of the incident
• Date and time, Place of rape
• Victim activity prior offence, Victim intoxication, Victim resistance
• Perpetrator tactics—Abduction, Physical violence, Non-violent tactics, Display/use of weapons
• Presence of witnesses
ReportingPreamble to statementImmediate actions of victim after offence
Time of reporting
InvestigationInvestigation diary, medical examination form (J88), Letters from the Forensic LaboratoryTime and collection of statements, forensic and medical evidence
• First report statement, witness statements
• Visiting place of rape, collection of forensic specimens, processing and submission of specimens to forensic laboratory, results from forensic laboratory
• Medical examination—service provider details, injuries data
• Identification of perpetrators
Taking supervisor investigative instructions
Arrest of perpetrators and reasons for non-arrest
Details of case closure or withdrawal
ProsecutionCharge sheet, Investigation diaryTime and outcome of police referral for prosecution
• Reasons for prosecutor declining case
Timing and details of perpetrator charges
AdjudicationCharge sheet, Investigation diary, Court transcriptsDetails about
• Bail, Plea bargains, Trial settings
• Case withdrawal or dismissals, Trial outcomes
• Sentencing, Appeals
AttritionAttrition points included: Early withdrawal of case by victim, Police closure without referring to prosecutors, Prosecutor decline, Withdrawal of enrolled cases prior to trial
End of trial and associated outcomes

Data management and analysis

In some of the selected dockets, information was missing. To avoid line deletion in the analysis when data was missing, we created a ‘missing data’ category for each key variable used in analysis. Particularly a third of the medical examination forms (J88s) were missing in dockets (N = 1,142), yet our findings suggest that these may have been more commonly absent among cases that were enrolled for prosecution. The original J88 forms part of the evidence that is admitted to court and detectives make copies that are kept in the docket. It is possible that the missing copies of J88 forms were due to the original having been attached to the charge sheets used by the courts and copies not having been made or other docket filing discrepancies.

Data were entered into EpiData and imported into Stata 15 for cleaning and analysis. We used svy commands which took account of the sampling design with cases clustered within police stations, stratified by province. The data were self-weighting. First, we described the percentage of cases at each stage in the CJS i.e. the police investigation, prosecutor enrolment and trial stages. We then describe the social and demographic characteristics of victims and perpetrators, and documented circumstances of the rape and aspects of the investigation by whether the stage was reached or not. We compared the proportion of cases with the characteristic that did or did not reach the stage using Chi squared tests and assessed P values. We built four logistic regression models to determine factors associated with attrition at four main points i.e. perpetrator not arrested and/or charged in court, police closure without referral for prosecution, prosecutor declines to prosecute and convictions at trial of being guilty of rape. The multivariable logistic regression models of factors associated with the perpetrator not arrested and/or charged in court and that with the outcome of case closure at the police investigation stages both included all reported cases and the independent variables tested were victim, perpetrator characteristics and different investigative tasks. The multivariable logistic regression model of factors associated with prosecutors declining prosecution was conducted with cases that were referred by police (i.e. all cases not closed by police), and independent variables were victim and perpetrator characteristics, the different investigative tasks and the availability of statements and forensic evidence. The last regression model focused on factors associated with a guilty verdict among those cases that went on trial. Explanatory factors included in the model were victim and perpetrator characteristics, the different investigative tasks and the availability of statement and forensic evidence. In each multivariable logistic regression model, we included only independent variables that were associated with the outcome with P values < 0.2 in bivariable analyses.

Ethical considerations

The South African Medical Research Council’s Ethics Committee (EC020-11/2013) approved the study and permission to access dockets was granted by National and Provincial Commissioners of the South African Police Service and by the National Director of Public Prosecutions. Each selected docket was allocated a random anonymised study ID, and no victim or perpetrator identifying information was recorded on any of the tools. Police stations were assigned station codes, and the linked information was kept securely by the primary researcher so that cases we completely de-identified. Researchers underwent obligatory weekly individual debriefing sessions with a specialist psychologist to minimise impacts of vicarious trauma.

RESULTS

Table 2 shows both the overall and stage specific attrition rates. Three per cent of cases were withdrawn early by victims i.e. before an arrest could be made. The greatest single point of case attrition occurred at the police investigation stage. While the police made arrests or charged perpetrators in only 58 per cent of cases, they referred 65 per cent of all cases for prosecution. Arrest did not occur in these 7 per cent of cases, because the perpetrators were children (under 18 years of age), and the police may have referred other cases where no perpetrators were identified, and arrests were not made. Prosecutors declined 47 per cent of the cases referred by police (i.e. 31 per cent of all cases). About half (46 per cent) of the enrolled cases (i.e. 16 per cent of all cases) were either withdrawn or struck off’ the court roll prior to the trial commencing so that trials commenced in only 54 per cent of all enrolled cases (i.e. 19 per cent of all reported cases). Perpetrators pleaded guilty in 11 per cent of cases taken to trial (i.e. 2 per cent of all cases). About half (53 per cent) of cases taken to trial (i.e. 10 per cent of all cases) were concluded with acquittals and 47 per cent of cases proceeding to trial (i.e. 9 per cent of all cases) were concluded with guilty sexual offence verdict. Seven cases in which there was a sexual offence charge and a second charge of a non-sexual offence (e.g. robbery), were finalised with a conviction for a non-sexual offence. The attrition rates reported in this study were comparable with the Tracking Justice study which used similar methods but was conducted using rape cases opened in 2003 in the single province of Gauteng (Vetten et al. 2008).

Table 2

Case progression, attrition and outcomes

Current study, national (overall)Current study, Gauteng only, 2012Tracking justice study, Gauteng, 2008
Case progression
N (%)
Attrition
N (%)
% stage of cases with outcomes at each stageCase progression
N (%)
Case progression
N (%)
Total cases opened3,952 (100)97.34762,064
Early withdrawn cases107 (2.7)2.7
Perpetrator arresteda2,283 (57.8)238 (50)1,036 (50.5%)
Cases closed by police without referring to prosecutors1,373 (34.7)34.7
Cases referred to prosecutors2,579 (65.3)65.3
Cases declined by prosecutors1,217 (30.8)47.2
Cases accepted by prosecutors and put on court roll1,362 (34.5)52.8126 (26.5)690 (33.4)
Cases removed from the court roll631 (16.0)46.3
Cases taken to trial731 (18.5)53.775 (16.3)358 (17.3)
Perpetrator pleaded guilty80 (2.0)
Cases finalised: guilty sexual offence conviction (guilty pleas and convictions)340 (8.6)46.531(6.5)127(6.2)
Cases finalised: acquittal384 (9.7)52.5
Cases finalised: guilty other offence7 (0.2)1.0
Current study, national (overall)Current study, Gauteng only, 2012Tracking justice study, Gauteng, 2008
Case progression
N (%)
Attrition
N (%)
% stage of cases with outcomes at each stageCase progression
N (%)
Case progression
N (%)
Total cases opened3,952 (100)97.34762,064
Early withdrawn cases107 (2.7)2.7
Perpetrator arresteda2,283 (57.8)238 (50)1,036 (50.5%)
Cases closed by police without referring to prosecutors1,373 (34.7)34.7
Cases referred to prosecutors2,579 (65.3)65.3
Cases declined by prosecutors1,217 (30.8)47.2
Cases accepted by prosecutors and put on court roll1,362 (34.5)52.8126 (26.5)690 (33.4)
Cases removed from the court roll631 (16.0)46.3
Cases taken to trial731 (18.5)53.775 (16.3)358 (17.3)
Perpetrator pleaded guilty80 (2.0)
Cases finalised: guilty sexual offence conviction (guilty pleas and convictions)340 (8.6)46.531(6.5)127(6.2)
Cases finalised: acquittal384 (9.7)52.5
Cases finalised: guilty other offence7 (0.2)1.0

aDoes not include all child perpetrator cases as they are not generally arrested and charged but their cases may be referred for prosecution.

Table 2

Case progression, attrition and outcomes

Current study, national (overall)Current study, Gauteng only, 2012Tracking justice study, Gauteng, 2008
Case progression
N (%)
Attrition
N (%)
% stage of cases with outcomes at each stageCase progression
N (%)
Case progression
N (%)
Total cases opened3,952 (100)97.34762,064
Early withdrawn cases107 (2.7)2.7
Perpetrator arresteda2,283 (57.8)238 (50)1,036 (50.5%)
Cases closed by police without referring to prosecutors1,373 (34.7)34.7
Cases referred to prosecutors2,579 (65.3)65.3
Cases declined by prosecutors1,217 (30.8)47.2
Cases accepted by prosecutors and put on court roll1,362 (34.5)52.8126 (26.5)690 (33.4)
Cases removed from the court roll631 (16.0)46.3
Cases taken to trial731 (18.5)53.775 (16.3)358 (17.3)
Perpetrator pleaded guilty80 (2.0)
Cases finalised: guilty sexual offence conviction (guilty pleas and convictions)340 (8.6)46.531(6.5)127(6.2)
Cases finalised: acquittal384 (9.7)52.5
Cases finalised: guilty other offence7 (0.2)1.0
Current study, national (overall)Current study, Gauteng only, 2012Tracking justice study, Gauteng, 2008
Case progression
N (%)
Attrition
N (%)
% stage of cases with outcomes at each stageCase progression
N (%)
Case progression
N (%)
Total cases opened3,952 (100)97.34762,064
Early withdrawn cases107 (2.7)2.7
Perpetrator arresteda2,283 (57.8)238 (50)1,036 (50.5%)
Cases closed by police without referring to prosecutors1,373 (34.7)34.7
Cases referred to prosecutors2,579 (65.3)65.3
Cases declined by prosecutors1,217 (30.8)47.2
Cases accepted by prosecutors and put on court roll1,362 (34.5)52.8126 (26.5)690 (33.4)
Cases removed from the court roll631 (16.0)46.3
Cases taken to trial731 (18.5)53.775 (16.3)358 (17.3)
Perpetrator pleaded guilty80 (2.0)
Cases finalised: guilty sexual offence conviction (guilty pleas and convictions)340 (8.6)46.531(6.5)127(6.2)
Cases finalised: acquittal384 (9.7)52.5
Cases finalised: guilty other offence7 (0.2)1.0

aDoes not include all child perpetrator cases as they are not generally arrested and charged but their cases may be referred for prosecution.

Tables 3 shows factors associated with non-arrests and prosecutors declining cases from bivariate logistic regressions analysis Victim age, perpetrator age, victim race, perpetrator relationship, number of perpetrators, victim resistance, victim injuries, tactics used by the perpetrator, time to reporting and conducting investigative tasks were associated with non-arrests.

Table 3

Bivariate regression models of factors associated with attrition and case outcomes

TotalPerpetrator non-arrestPolice case withdrawal before prosecutor referralProsecutor declines enrolmentSexual Offence Guilty verdict
N%/
mean
Odds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > t
Victim age39091.011.001.010.0091.021.011.03<0.0011.000.991.000.361.011.001.020.222
Perpetrator age24770.950.920.980.0020.990.981.000.0631.000.991.010.6521.000.981.010.737
Male victim2146.121.001.001.001.00
Female victim369392.60.910.521.600.7541.851.382.48<0.0010.590.370.960.0320.670.341.320.245
Missing sex451.281.340.632.850.4390.750.321.780.5180.090.030.23<0.0011.150.255.360.862
No victim disability373493.781.001.001.001.00
Victim with one or more disabilities1674.890.980.541.790.9480.410.260.66<0.0011.831.033.260.040.980.412.380.972
Missing511.332.011.163.490.0130.280.150.53<0.0010.450.201.040.0610.760.144.280.759
Black African335885.441.001.001.001.00
Coloured47510.90.760.600.980.0330.460.350.61<0.0011.891.352.65<0.0011.561.092.250.017
Indian, White & Other692.362.190.925.210.0780.430.210.900.0263.281.159.350.0262.710.6511.340.17
Missing501.32.771.146.710.0250.470.230.970.0410.270.110.660.0041.770.506.250.371
Perpetrator relationship to victim
Relative40510.731.001.001.001.00
Intimate partner54613.820.990.751.310.9412.642.013.45<0.0011.501.112.020.0090.970.551.700.91
Acquaintances117630.411.050.771.420.7721.090.831.430.5360.730.540.990.040.840.511.380.493
Stranger128131.127.575.899.7309.507.1812.59<0.0010.730.550.960.0251.160.691.960.577
Other3589.10.910.641.280.5741.340.941.910.1090.850.601.190.3370.980.501.920.951
Unknown1864.816.974.8510.02<0.0013.322.384.64<0.0011.090.661.790.7320.490.181.330.158
Victim not alcohol intoxicated320782.091.001.001.001.00
Victim alcohol intoxicated74517.910.910.771.080.2631.070.891.280.4511.311.081.590.0060.740.511.060.103
Victim did not resist193449.351.001.001.001.00
Victim verbally or physically resisted201850.650.630.540.72<0.0010.960.831.110.5720.580.490.70<0.00011.280.931.750.132
Single perpetrator327883.291.001.00
>1 perpetrator67416.712.742.273.29<0.0011.651.342.03<0.0011.120.891.410.3360.760.451.290.306
Victim not abducted254765.321.001.001.001.00
Victim abducted140534.681.271.101.470.0011.771.532.06<0.0010.650.540.77<0.00011.010.711.460.943
Perpetrator had no weapon268669.51.001.001.001.00
Perpetrator had weapon126630.51.571.321.86<0.0012.091.782.46<0.0010.570.470.69<0.00011.721.252.370.001
Perpetrator did not display firearm366392.761.001.001.00
Perpetrator displayed firearm2897.242.822.123.76<0.0012.601.983.42<0.0010.600.400.910.0180.710.311.620.407
Perpetrator used no physical force1307341.001.001.00
Perpetrator used physical force2645660.990.851.140.8541.651.391.95<0.0010.600.500.72<0.00011.691.172.450.006
Victim reported incident after 96 h50713.321.001.001.001.00
Victim reported incident within 96 h289172.041.311.061.610.0141.851.512.27<0.0011.020.801.290.9031.080.691.700.735
Reporting time missing55414.642.051.622.60<0.0011.170.891.540.2471.170.821.660.3850.770.431.390.389
First report statement not taken64016.811.001.001.001.00
First report statement taken331283.190.520.440.61<0.0010.680.570.82<0.0010.590.460.75<0.00010.990.531.850.982
Investigator did not visit place of rape186247.361.001.001.001.00
Investigator visited place of rape209052.640.600.520.70<0.0011.080.941.250.270.710.580.860.0011.551.042.300.03
No injuries recorded on J8895423.491.001.001.001.00
Non-genital injuries only3037.481.281.001.640.0551.901.442.50<0.0010.670.451.000.051.520.673.450.316
Non-genital and genital injuries154639.461.331.111.580.0021.200.981.470.0810.930.741.160.51.370.812.300.236
No J88114929.570.640.520.80<0.0010.600.470.78<0.0010.380.290.50<0.00012.161.433.28<0.001
Saeck not completed77420.261.001.001.001.00
Saeck completed within 96 h252462.660.860.701.070.1781.751.412.15<0.0010.880.701.120.3021.150.741.780.538
Saeck completed after 96 h2987.730.620.470.81<0.0011.080.811.430.6070.830.571.200.320.790.421.500.466
Saeck completion time unknown3569.351.200.931.560.1561.110.781.580.5771.160.791.700.4490.680.361.270.226
Perpetrator not arrested or charged 16691.00
Perpetrator arrested or charged 22830.670.07−3.6600.190.140.26<0.0001
No forensic sample submitted to FSL1.001.00
Forensic sample submitted to FSL0.570.470.68<0.00010.830.571.200.321
Missing0.020.000.13<0.0001
DNA isolation not confirmed1.001.00
DNA isolation confirmed0.510.430.61<0.00010.950.701.290.732
Missing0.030.000.14<0.00011.00
DNA matching not confirmed1.00
DNA matching confirmed1.370.902.090.14
TotalPerpetrator non-arrestPolice case withdrawal before prosecutor referralProsecutor declines enrolmentSexual Offence Guilty verdict
N%/
mean
Odds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > t
Victim age39091.011.001.010.0091.021.011.03<0.0011.000.991.000.361.011.001.020.222
Perpetrator age24770.950.920.980.0020.990.981.000.0631.000.991.010.6521.000.981.010.737
Male victim2146.121.001.001.001.00
Female victim369392.60.910.521.600.7541.851.382.48<0.0010.590.370.960.0320.670.341.320.245
Missing sex451.281.340.632.850.4390.750.321.780.5180.090.030.23<0.0011.150.255.360.862
No victim disability373493.781.001.001.001.00
Victim with one or more disabilities1674.890.980.541.790.9480.410.260.66<0.0011.831.033.260.040.980.412.380.972
Missing511.332.011.163.490.0130.280.150.53<0.0010.450.201.040.0610.760.144.280.759
Black African335885.441.001.001.001.00
Coloured47510.90.760.600.980.0330.460.350.61<0.0011.891.352.65<0.0011.561.092.250.017
Indian, White & Other692.362.190.925.210.0780.430.210.900.0263.281.159.350.0262.710.6511.340.17
Missing501.32.771.146.710.0250.470.230.970.0410.270.110.660.0041.770.506.250.371
Perpetrator relationship to victim
Relative40510.731.001.001.001.00
Intimate partner54613.820.990.751.310.9412.642.013.45<0.0011.501.112.020.0090.970.551.700.91
Acquaintances117630.411.050.771.420.7721.090.831.430.5360.730.540.990.040.840.511.380.493
Stranger128131.127.575.899.7309.507.1812.59<0.0010.730.550.960.0251.160.691.960.577
Other3589.10.910.641.280.5741.340.941.910.1090.850.601.190.3370.980.501.920.951
Unknown1864.816.974.8510.02<0.0013.322.384.64<0.0011.090.661.790.7320.490.181.330.158
Victim not alcohol intoxicated320782.091.001.001.001.00
Victim alcohol intoxicated74517.910.910.771.080.2631.070.891.280.4511.311.081.590.0060.740.511.060.103
Victim did not resist193449.351.001.001.001.00
Victim verbally or physically resisted201850.650.630.540.72<0.0010.960.831.110.5720.580.490.70<0.00011.280.931.750.132
Single perpetrator327883.291.001.00
>1 perpetrator67416.712.742.273.29<0.0011.651.342.03<0.0011.120.891.410.3360.760.451.290.306
Victim not abducted254765.321.001.001.001.00
Victim abducted140534.681.271.101.470.0011.771.532.06<0.0010.650.540.77<0.00011.010.711.460.943
Perpetrator had no weapon268669.51.001.001.001.00
Perpetrator had weapon126630.51.571.321.86<0.0012.091.782.46<0.0010.570.470.69<0.00011.721.252.370.001
Perpetrator did not display firearm366392.761.001.001.00
Perpetrator displayed firearm2897.242.822.123.76<0.0012.601.983.42<0.0010.600.400.910.0180.710.311.620.407
Perpetrator used no physical force1307341.001.001.00
Perpetrator used physical force2645660.990.851.140.8541.651.391.95<0.0010.600.500.72<0.00011.691.172.450.006
Victim reported incident after 96 h50713.321.001.001.001.00
Victim reported incident within 96 h289172.041.311.061.610.0141.851.512.27<0.0011.020.801.290.9031.080.691.700.735
Reporting time missing55414.642.051.622.60<0.0011.170.891.540.2471.170.821.660.3850.770.431.390.389
First report statement not taken64016.811.001.001.001.00
First report statement taken331283.190.520.440.61<0.0010.680.570.82<0.0010.590.460.75<0.00010.990.531.850.982
Investigator did not visit place of rape186247.361.001.001.001.00
Investigator visited place of rape209052.640.600.520.70<0.0011.080.941.250.270.710.580.860.0011.551.042.300.03
No injuries recorded on J8895423.491.001.001.001.00
Non-genital injuries only3037.481.281.001.640.0551.901.442.50<0.0010.670.451.000.051.520.673.450.316
Non-genital and genital injuries154639.461.331.111.580.0021.200.981.470.0810.930.741.160.51.370.812.300.236
No J88114929.570.640.520.80<0.0010.600.470.78<0.0010.380.290.50<0.00012.161.433.28<0.001
Saeck not completed77420.261.001.001.001.00
Saeck completed within 96 h252462.660.860.701.070.1781.751.412.15<0.0010.880.701.120.3021.150.741.780.538
Saeck completed after 96 h2987.730.620.470.81<0.0011.080.811.430.6070.830.571.200.320.790.421.500.466
Saeck completion time unknown3569.351.200.931.560.1561.110.781.580.5771.160.791.700.4490.680.361.270.226
Perpetrator not arrested or charged 16691.00
Perpetrator arrested or charged 22830.670.07−3.6600.190.140.26<0.0001
No forensic sample submitted to FSL1.001.00
Forensic sample submitted to FSL0.570.470.68<0.00010.830.571.200.321
Missing0.020.000.13<0.0001
DNA isolation not confirmed1.001.00
DNA isolation confirmed0.510.430.61<0.00010.950.701.290.732
Missing0.030.000.14<0.00011.00
DNA matching not confirmed1.00
DNA matching confirmed1.370.902.090.14
Table 3

Bivariate regression models of factors associated with attrition and case outcomes

TotalPerpetrator non-arrestPolice case withdrawal before prosecutor referralProsecutor declines enrolmentSexual Offence Guilty verdict
N%/
mean
Odds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > t
Victim age39091.011.001.010.0091.021.011.03<0.0011.000.991.000.361.011.001.020.222
Perpetrator age24770.950.920.980.0020.990.981.000.0631.000.991.010.6521.000.981.010.737
Male victim2146.121.001.001.001.00
Female victim369392.60.910.521.600.7541.851.382.48<0.0010.590.370.960.0320.670.341.320.245
Missing sex451.281.340.632.850.4390.750.321.780.5180.090.030.23<0.0011.150.255.360.862
No victim disability373493.781.001.001.001.00
Victim with one or more disabilities1674.890.980.541.790.9480.410.260.66<0.0011.831.033.260.040.980.412.380.972
Missing511.332.011.163.490.0130.280.150.53<0.0010.450.201.040.0610.760.144.280.759
Black African335885.441.001.001.001.00
Coloured47510.90.760.600.980.0330.460.350.61<0.0011.891.352.65<0.0011.561.092.250.017
Indian, White & Other692.362.190.925.210.0780.430.210.900.0263.281.159.350.0262.710.6511.340.17
Missing501.32.771.146.710.0250.470.230.970.0410.270.110.660.0041.770.506.250.371
Perpetrator relationship to victim
Relative40510.731.001.001.001.00
Intimate partner54613.820.990.751.310.9412.642.013.45<0.0011.501.112.020.0090.970.551.700.91
Acquaintances117630.411.050.771.420.7721.090.831.430.5360.730.540.990.040.840.511.380.493
Stranger128131.127.575.899.7309.507.1812.59<0.0010.730.550.960.0251.160.691.960.577
Other3589.10.910.641.280.5741.340.941.910.1090.850.601.190.3370.980.501.920.951
Unknown1864.816.974.8510.02<0.0013.322.384.64<0.0011.090.661.790.7320.490.181.330.158
Victim not alcohol intoxicated320782.091.001.001.001.00
Victim alcohol intoxicated74517.910.910.771.080.2631.070.891.280.4511.311.081.590.0060.740.511.060.103
Victim did not resist193449.351.001.001.001.00
Victim verbally or physically resisted201850.650.630.540.72<0.0010.960.831.110.5720.580.490.70<0.00011.280.931.750.132
Single perpetrator327883.291.001.00
>1 perpetrator67416.712.742.273.29<0.0011.651.342.03<0.0011.120.891.410.3360.760.451.290.306
Victim not abducted254765.321.001.001.001.00
Victim abducted140534.681.271.101.470.0011.771.532.06<0.0010.650.540.77<0.00011.010.711.460.943
Perpetrator had no weapon268669.51.001.001.001.00
Perpetrator had weapon126630.51.571.321.86<0.0012.091.782.46<0.0010.570.470.69<0.00011.721.252.370.001
Perpetrator did not display firearm366392.761.001.001.00
Perpetrator displayed firearm2897.242.822.123.76<0.0012.601.983.42<0.0010.600.400.910.0180.710.311.620.407
Perpetrator used no physical force1307341.001.001.00
Perpetrator used physical force2645660.990.851.140.8541.651.391.95<0.0010.600.500.72<0.00011.691.172.450.006
Victim reported incident after 96 h50713.321.001.001.001.00
Victim reported incident within 96 h289172.041.311.061.610.0141.851.512.27<0.0011.020.801.290.9031.080.691.700.735
Reporting time missing55414.642.051.622.60<0.0011.170.891.540.2471.170.821.660.3850.770.431.390.389
First report statement not taken64016.811.001.001.001.00
First report statement taken331283.190.520.440.61<0.0010.680.570.82<0.0010.590.460.75<0.00010.990.531.850.982
Investigator did not visit place of rape186247.361.001.001.001.00
Investigator visited place of rape209052.640.600.520.70<0.0011.080.941.250.270.710.580.860.0011.551.042.300.03
No injuries recorded on J8895423.491.001.001.001.00
Non-genital injuries only3037.481.281.001.640.0551.901.442.50<0.0010.670.451.000.051.520.673.450.316
Non-genital and genital injuries154639.461.331.111.580.0021.200.981.470.0810.930.741.160.51.370.812.300.236
No J88114929.570.640.520.80<0.0010.600.470.78<0.0010.380.290.50<0.00012.161.433.28<0.001
Saeck not completed77420.261.001.001.001.00
Saeck completed within 96 h252462.660.860.701.070.1781.751.412.15<0.0010.880.701.120.3021.150.741.780.538
Saeck completed after 96 h2987.730.620.470.81<0.0011.080.811.430.6070.830.571.200.320.790.421.500.466
Saeck completion time unknown3569.351.200.931.560.1561.110.781.580.5771.160.791.700.4490.680.361.270.226
Perpetrator not arrested or charged 16691.00
Perpetrator arrested or charged 22830.670.07−3.6600.190.140.26<0.0001
No forensic sample submitted to FSL1.001.00
Forensic sample submitted to FSL0.570.470.68<0.00010.830.571.200.321
Missing0.020.000.13<0.0001
DNA isolation not confirmed1.001.00
DNA isolation confirmed0.510.430.61<0.00010.950.701.290.732
Missing0.030.000.14<0.00011.00
DNA matching not confirmed1.00
DNA matching confirmed1.370.902.090.14
TotalPerpetrator non-arrestPolice case withdrawal before prosecutor referralProsecutor declines enrolmentSexual Offence Guilty verdict
N%/
mean
Odds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > tOdds Ratio[95% Conf.Interval]P > t
Victim age39091.011.001.010.0091.021.011.03<0.0011.000.991.000.361.011.001.020.222
Perpetrator age24770.950.920.980.0020.990.981.000.0631.000.991.010.6521.000.981.010.737
Male victim2146.121.001.001.001.00
Female victim369392.60.910.521.600.7541.851.382.48<0.0010.590.370.960.0320.670.341.320.245
Missing sex451.281.340.632.850.4390.750.321.780.5180.090.030.23<0.0011.150.255.360.862
No victim disability373493.781.001.001.001.00
Victim with one or more disabilities1674.890.980.541.790.9480.410.260.66<0.0011.831.033.260.040.980.412.380.972
Missing511.332.011.163.490.0130.280.150.53<0.0010.450.201.040.0610.760.144.280.759
Black African335885.441.001.001.001.00
Coloured47510.90.760.600.980.0330.460.350.61<0.0011.891.352.65<0.0011.561.092.250.017
Indian, White & Other692.362.190.925.210.0780.430.210.900.0263.281.159.350.0262.710.6511.340.17
Missing501.32.771.146.710.0250.470.230.970.0410.270.110.660.0041.770.506.250.371
Perpetrator relationship to victim
Relative40510.731.001.001.001.00
Intimate partner54613.820.990.751.310.9412.642.013.45<0.0011.501.112.020.0090.970.551.700.91
Acquaintances117630.411.050.771.420.7721.090.831.430.5360.730.540.990.040.840.511.380.493
Stranger128131.127.575.899.7309.507.1812.59<0.0010.730.550.960.0251.160.691.960.577
Other3589.10.910.641.280.5741.340.941.910.1090.850.601.190.3370.980.501.920.951
Unknown1864.816.974.8510.02<0.0013.322.384.64<0.0011.090.661.790.7320.490.181.330.158
Victim not alcohol intoxicated320782.091.001.001.001.00
Victim alcohol intoxicated74517.910.910.771.080.2631.070.891.280.4511.311.081.590.0060.740.511.060.103
Victim did not resist193449.351.001.001.001.00
Victim verbally or physically resisted201850.650.630.540.72<0.0010.960.831.110.5720.580.490.70<0.00011.280.931.750.132
Single perpetrator327883.291.001.00
>1 perpetrator67416.712.742.273.29<0.0011.651.342.03<0.0011.120.891.410.3360.760.451.290.306
Victim not abducted254765.321.001.001.001.00
Victim abducted140534.681.271.101.470.0011.771.532.06<0.0010.650.540.77<0.00011.010.711.460.943
Perpetrator had no weapon268669.51.001.001.001.00
Perpetrator had weapon126630.51.571.321.86<0.0012.091.782.46<0.0010.570.470.69<0.00011.721.252.370.001
Perpetrator did not display firearm366392.761.001.001.00
Perpetrator displayed firearm2897.242.822.123.76<0.0012.601.983.42<0.0010.600.400.910.0180.710.311.620.407
Perpetrator used no physical force1307341.001.001.00
Perpetrator used physical force2645660.990.851.140.8541.651.391.95<0.0010.600.500.72<0.00011.691.172.450.006
Victim reported incident after 96 h50713.321.001.001.001.00
Victim reported incident within 96 h289172.041.311.061.610.0141.851.512.27<0.0011.020.801.290.9031.080.691.700.735
Reporting time missing55414.642.051.622.60<0.0011.170.891.540.2471.170.821.660.3850.770.431.390.389
First report statement not taken64016.811.001.001.001.00
First report statement taken331283.190.520.440.61<0.0010.680.570.82<0.0010.590.460.75<0.00010.990.531.850.982
Investigator did not visit place of rape186247.361.001.001.001.00
Investigator visited place of rape209052.640.600.520.70<0.0011.080.941.250.270.710.580.860.0011.551.042.300.03
No injuries recorded on J8895423.491.001.001.001.00
Non-genital injuries only3037.481.281.001.640.0551.901.442.50<0.0010.670.451.000.051.520.673.450.316
Non-genital and genital injuries154639.461.331.111.580.0021.200.981.470.0810.930.741.160.51.370.812.300.236
No J88114929.570.640.520.80<0.0010.600.470.78<0.0010.380.290.50<0.00012.161.433.28<0.001
Saeck not completed77420.261.001.001.001.00
Saeck completed within 96 h252462.660.860.701.070.1781.751.412.15<0.0010.880.701.120.3021.150.741.780.538
Saeck completed after 96 h2987.730.620.470.81<0.0011.080.811.430.6070.830.571.200.320.790.421.500.466
Saeck completion time unknown3569.351.200.931.560.1561.110.781.580.5771.160.791.700.4490.680.361.270.226
Perpetrator not arrested or charged 16691.00
Perpetrator arrested or charged 22830.670.07−3.6600.190.140.26<0.0001
No forensic sample submitted to FSL1.001.00
Forensic sample submitted to FSL0.570.470.68<0.00010.830.571.200.321
Missing0.020.000.13<0.0001
DNA isolation not confirmed1.001.00
DNA isolation confirmed0.510.430.61<0.00010.950.701.290.732
Missing0.030.000.14<0.00011.00
DNA matching not confirmed1.00
DNA matching confirmed1.370.902.090.14

Factors associated with police case closure without referral to prosecutors in bivariate regression were victim age, victim sex, victim disability, victim race, perpetrator relationship, number of perpetrators, tactics used by the perpetrator, time to report, completion of investigative tasks, victim injuries and SAECK completion. Sex of the victim, victim disability, victim race, perpetrator relationship, tactics used by the perpetrator, completion of investigative tasks, victim injuries and DNA isolation were significantly associated with the prosecutorial decisions to decline cases in bivariate analyses. Tactics used by the perpetrator, victim race and visiting the crime scene were significant associated with guilty verdicts in bivariate analyses.

The first multivariate logistic regression model (Model 1 in Table 4) shows the factors associated with the perpetrator not being arrested compared to being arrested. The likelihood of police not arresting was higher with increasing age of the perpetrators. Perpetrators involved in the cases of White, Indian and ‘Other’ victims were more likely to be not arrested compared to perpetrators involved in cases of with Black African victims. Perpetrators who were intimate partners (aOR 1.41 [95% CI: 1.02–1.94]), acquaintances (aOR 1.44 [95% CI: 1.04–2.00]), strangers (aOR 12.81 [95% CI: 9.40–17.44]) and the ‘other category’ perpetrators (aOR 6.70 [95% CI: 4.56–10.12]) were more likely to not be arrested compared to cases that involved perpetrators who were family members. Perpetrators involved in multiple-perpetrator incidents were more likely not to be arrested compared to perpetrators involved in single perpetrator incidents (aOR 1.59 [95% CI:1.30–1.95]). It was less likely that perpetrators were not arrested when there was evidence of victim resistance compared to where there was none (aOR 0.62 [95% CI: 0.53–0.72]). The accused were less likely to not be arrested when investigative tasks were undertaken including visiting the crime scene (aOR 0.49 [95% CI: 0.42–0.58]), taking first report statements (aOR 0.5 [95% CI: 0.48–0.73]) and SAECKs had been done on victims (aOR 0.5 [95% CI: 0.36–0.64]).

Table 4

Multivariate regression models of factors associated with attrition and case outcomes

Model 1 – Non-arrest
Prob > F = <0.0001
GOF: F = 0.68, Prob > F = 0.72
Model 2 – Police case withdrawal before prosecutor referral
Prob > F =< 0.0001
GOF: F(9,145) = 1.39, Prob > F = 0.1994
Model 3 – Prosecutor declines enrolment
Prob > F =< 0.0001
GOF: F = 0.80, Prob > F = 0.62
Model 4 – Sexual offence guilty verdict
Prob > F = 0.003
GOF: F = 0.72, Prob > F = 0.69
aOR95%CIP > taOR95%CIP-valueaOR95%CIP > taOR95%CIP > t
Female1.000.991.010.9781.000.981.010.6030.600.281.290.192
Victim mean age1.011.001.010.0971.011.001.020.0491.011.001.020.0681.000.991.020.614
Perpetrator mean age2.301.035.130.0421.000.991.010.5731.000.981.010.635
Victim with one or more disabilities0.990.981.000.0031.011.001.020.2911.580.624.070.337
Victim raceBlack African reference1.001.001.001.00
Coloured0.940.711.250.6680.470.340.66<0.0011.861.202.900.0063.151.347.440.009
Indian, White & other3.551.279.950.0160.350.140.880.0252.060.864.920.1043.210.6216.530.161
missing1.240.443.480.6851.180.245.880.8371.370.394.790.6231.830.3310.190.488
Perpetrator relationship to victim – reference relative1.001.001.001.00
Intimate partner1.411.021.940.0362.601.833.69<0.0011.851.262.710.0021.210.692.140.508
Acquaintance1.441.042.000.0300.870.621.200.3870.980.681.420.9311.000.601.660.990
Stranger12.819.4017.44<0.0013.102.214.340.0000.900.591.390.6411.270.692.330.441
Other1.170.811.670.4001.250.821.900.2941.030.661.620.8901.030.502.110.932
Unknown6.794.5610.12<0.0011.340.911.970.1420.680.361.290.2360.350.111.090.069
Perpetrator previously convicted0.840.651.090.1850.650.411.030.065
Victim alcohol intoxicated1.421.151.760.0010.780.521.180.243
Victim resisted0.620.530.72<0.0010.980.811.190.8350.820.661.020.0750.900.601.340.59
Multiple perpetrators1.591.301.95<0.0010.820.641.030.0900.810.411.590.537
Victim abducted0.910.761.080.2761.140.911.440.2550.800.621.030.0840.700.461.050.087
Perpetrator had weapon1.060.881.280.531.100.901.340.3590.730.560.950.0221.701.142.550.010
Perpetrator used physical force1.190.961.480.1130.750.590.940.0131.741.112.730.015
Victim reported incident within 96 h1.140.751.740.5381.460.892.380.129
Reporting time missing2.001.193.350.0091.320.712.480.379
First report statement taken0.590.480.73<0.0010.890.681.150.3630.620.450.850.0040.870.441.710.684
Investigator visited place of rape0.490.420.58<0.0010.950.771.170.6171.681.162.410.006
Injuries recorded on J88—No injuries reference1.001.001.001.00
Non-genital injuries only1.020.721.430.9251.451.022.060.0390.660.411.060.0861.670.664.190.276
Non-genital injuries and genital injuries1.190.961.480.1180.870.681.120.2730.920.721.160.4771.430.782.640.246
J88 missing0.490.390.63<0.0010.730.560.940.0150.320.230.45<0.0012.701.684.35<0.001
SAECK completion –No SAECK completed reference1.00
SAECK completed within 96 h0.480.360.64<0.0011.140.811.590.4581.581.112.250.0122.091.203.650.01
SAECK completed after 96 h0.560.360.860.0091.570.982.520.0631.010.651.540.9800.950.461.960.890
SAECK completion time unknown0.390.240.62<0.0010.810.421.550.5161.090.701.680.7101.350.632.890.443
Perpetrator arrested/charged in court0.070.060.09<0.0010.200.120.33<0.001
Sample submitted to Forensic laboratory0.670.470.950.0250.570.321.010.054
DNA isolation confirmed0.570.430.76<0.0010.910.631.320.626
DNA matched1.911.003.670.053
Model 1 – Non-arrest
Prob > F = <0.0001
GOF: F = 0.68, Prob > F = 0.72
Model 2 – Police case withdrawal before prosecutor referral
Prob > F =< 0.0001
GOF: F(9,145) = 1.39, Prob > F = 0.1994
Model 3 – Prosecutor declines enrolment
Prob > F =< 0.0001
GOF: F = 0.80, Prob > F = 0.62
Model 4 – Sexual offence guilty verdict
Prob > F = 0.003
GOF: F = 0.72, Prob > F = 0.69
aOR95%CIP > taOR95%CIP-valueaOR95%CIP > taOR95%CIP > t
Female1.000.991.010.9781.000.981.010.6030.600.281.290.192
Victim mean age1.011.001.010.0971.011.001.020.0491.011.001.020.0681.000.991.020.614
Perpetrator mean age2.301.035.130.0421.000.991.010.5731.000.981.010.635
Victim with one or more disabilities0.990.981.000.0031.011.001.020.2911.580.624.070.337
Victim raceBlack African reference1.001.001.001.00
Coloured0.940.711.250.6680.470.340.66<0.0011.861.202.900.0063.151.347.440.009
Indian, White & other3.551.279.950.0160.350.140.880.0252.060.864.920.1043.210.6216.530.161
missing1.240.443.480.6851.180.245.880.8371.370.394.790.6231.830.3310.190.488
Perpetrator relationship to victim – reference relative1.001.001.001.00
Intimate partner1.411.021.940.0362.601.833.69<0.0011.851.262.710.0021.210.692.140.508
Acquaintance1.441.042.000.0300.870.621.200.3870.980.681.420.9311.000.601.660.990
Stranger12.819.4017.44<0.0013.102.214.340.0000.900.591.390.6411.270.692.330.441
Other1.170.811.670.4001.250.821.900.2941.030.661.620.8901.030.502.110.932
Unknown6.794.5610.12<0.0011.340.911.970.1420.680.361.290.2360.350.111.090.069
Perpetrator previously convicted0.840.651.090.1850.650.411.030.065
Victim alcohol intoxicated1.421.151.760.0010.780.521.180.243
Victim resisted0.620.530.72<0.0010.980.811.190.8350.820.661.020.0750.900.601.340.59
Multiple perpetrators1.591.301.95<0.0010.820.641.030.0900.810.411.590.537
Victim abducted0.910.761.080.2761.140.911.440.2550.800.621.030.0840.700.461.050.087
Perpetrator had weapon1.060.881.280.531.100.901.340.3590.730.560.950.0221.701.142.550.010
Perpetrator used physical force1.190.961.480.1130.750.590.940.0131.741.112.730.015
Victim reported incident within 96 h1.140.751.740.5381.460.892.380.129
Reporting time missing2.001.193.350.0091.320.712.480.379
First report statement taken0.590.480.73<0.0010.890.681.150.3630.620.450.850.0040.870.441.710.684
Investigator visited place of rape0.490.420.58<0.0010.950.771.170.6171.681.162.410.006
Injuries recorded on J88—No injuries reference1.001.001.001.00
Non-genital injuries only1.020.721.430.9251.451.022.060.0390.660.411.060.0861.670.664.190.276
Non-genital injuries and genital injuries1.190.961.480.1180.870.681.120.2730.920.721.160.4771.430.782.640.246
J88 missing0.490.390.63<0.0010.730.560.940.0150.320.230.45<0.0012.701.684.35<0.001
SAECK completion –No SAECK completed reference1.00
SAECK completed within 96 h0.480.360.64<0.0011.140.811.590.4581.581.112.250.0122.091.203.650.01
SAECK completed after 96 h0.560.360.860.0091.570.982.520.0631.010.651.540.9800.950.461.960.890
SAECK completion time unknown0.390.240.62<0.0010.810.421.550.5161.090.701.680.7101.350.632.890.443
Perpetrator arrested/charged in court0.070.060.09<0.0010.200.120.33<0.001
Sample submitted to Forensic laboratory0.670.470.950.0250.570.321.010.054
DNA isolation confirmed0.570.430.76<0.0010.910.631.320.626
DNA matched1.911.003.670.053
Table 4

Multivariate regression models of factors associated with attrition and case outcomes

Model 1 – Non-arrest
Prob > F = <0.0001
GOF: F = 0.68, Prob > F = 0.72
Model 2 – Police case withdrawal before prosecutor referral
Prob > F =< 0.0001
GOF: F(9,145) = 1.39, Prob > F = 0.1994
Model 3 – Prosecutor declines enrolment
Prob > F =< 0.0001
GOF: F = 0.80, Prob > F = 0.62
Model 4 – Sexual offence guilty verdict
Prob > F = 0.003
GOF: F = 0.72, Prob > F = 0.69
aOR95%CIP > taOR95%CIP-valueaOR95%CIP > taOR95%CIP > t
Female1.000.991.010.9781.000.981.010.6030.600.281.290.192
Victim mean age1.011.001.010.0971.011.001.020.0491.011.001.020.0681.000.991.020.614
Perpetrator mean age2.301.035.130.0421.000.991.010.5731.000.981.010.635
Victim with one or more disabilities0.990.981.000.0031.011.001.020.2911.580.624.070.337
Victim raceBlack African reference1.001.001.001.00
Coloured0.940.711.250.6680.470.340.66<0.0011.861.202.900.0063.151.347.440.009
Indian, White & other3.551.279.950.0160.350.140.880.0252.060.864.920.1043.210.6216.530.161
missing1.240.443.480.6851.180.245.880.8371.370.394.790.6231.830.3310.190.488
Perpetrator relationship to victim – reference relative1.001.001.001.00
Intimate partner1.411.021.940.0362.601.833.69<0.0011.851.262.710.0021.210.692.140.508
Acquaintance1.441.042.000.0300.870.621.200.3870.980.681.420.9311.000.601.660.990
Stranger12.819.4017.44<0.0013.102.214.340.0000.900.591.390.6411.270.692.330.441
Other1.170.811.670.4001.250.821.900.2941.030.661.620.8901.030.502.110.932
Unknown6.794.5610.12<0.0011.340.911.970.1420.680.361.290.2360.350.111.090.069
Perpetrator previously convicted0.840.651.090.1850.650.411.030.065
Victim alcohol intoxicated1.421.151.760.0010.780.521.180.243
Victim resisted0.620.530.72<0.0010.980.811.190.8350.820.661.020.0750.900.601.340.59
Multiple perpetrators1.591.301.95<0.0010.820.641.030.0900.810.411.590.537
Victim abducted0.910.761.080.2761.140.911.440.2550.800.621.030.0840.700.461.050.087
Perpetrator had weapon1.060.881.280.531.100.901.340.3590.730.560.950.0221.701.142.550.010
Perpetrator used physical force1.190.961.480.1130.750.590.940.0131.741.112.730.015
Victim reported incident within 96 h1.140.751.740.5381.460.892.380.129
Reporting time missing2.001.193.350.0091.320.712.480.379
First report statement taken0.590.480.73<0.0010.890.681.150.3630.620.450.850.0040.870.441.710.684
Investigator visited place of rape0.490.420.58<0.0010.950.771.170.6171.681.162.410.006
Injuries recorded on J88—No injuries reference1.001.001.001.00
Non-genital injuries only1.020.721.430.9251.451.022.060.0390.660.411.060.0861.670.664.190.276
Non-genital injuries and genital injuries1.190.961.480.1180.870.681.120.2730.920.721.160.4771.430.782.640.246
J88 missing0.490.390.63<0.0010.730.560.940.0150.320.230.45<0.0012.701.684.35<0.001
SAECK completion –No SAECK completed reference1.00
SAECK completed within 96 h0.480.360.64<0.0011.140.811.590.4581.581.112.250.0122.091.203.650.01
SAECK completed after 96 h0.560.360.860.0091.570.982.520.0631.010.651.540.9800.950.461.960.890
SAECK completion time unknown0.390.240.62<0.0010.810.421.550.5161.090.701.680.7101.350.632.890.443
Perpetrator arrested/charged in court0.070.060.09<0.0010.200.120.33<0.001
Sample submitted to Forensic laboratory0.670.470.950.0250.570.321.010.054
DNA isolation confirmed0.570.430.76<0.0010.910.631.320.626
DNA matched1.911.003.670.053
Model 1 – Non-arrest
Prob > F = <0.0001
GOF: F = 0.68, Prob > F = 0.72
Model 2 – Police case withdrawal before prosecutor referral
Prob > F =< 0.0001
GOF: F(9,145) = 1.39, Prob > F = 0.1994
Model 3 – Prosecutor declines enrolment
Prob > F =< 0.0001
GOF: F = 0.80, Prob > F = 0.62
Model 4 – Sexual offence guilty verdict
Prob > F = 0.003
GOF: F = 0.72, Prob > F = 0.69
aOR95%CIP > taOR95%CIP-valueaOR95%CIP > taOR95%CIP > t
Female1.000.991.010.9781.000.981.010.6030.600.281.290.192
Victim mean age1.011.001.010.0971.011.001.020.0491.011.001.020.0681.000.991.020.614
Perpetrator mean age2.301.035.130.0421.000.991.010.5731.000.981.010.635
Victim with one or more disabilities0.990.981.000.0031.011.001.020.2911.580.624.070.337
Victim raceBlack African reference1.001.001.001.00
Coloured0.940.711.250.6680.470.340.66<0.0011.861.202.900.0063.151.347.440.009
Indian, White & other3.551.279.950.0160.350.140.880.0252.060.864.920.1043.210.6216.530.161
missing1.240.443.480.6851.180.245.880.8371.370.394.790.6231.830.3310.190.488
Perpetrator relationship to victim – reference relative1.001.001.001.00
Intimate partner1.411.021.940.0362.601.833.69<0.0011.851.262.710.0021.210.692.140.508
Acquaintance1.441.042.000.0300.870.621.200.3870.980.681.420.9311.000.601.660.990
Stranger12.819.4017.44<0.0013.102.214.340.0000.900.591.390.6411.270.692.330.441
Other1.170.811.670.4001.250.821.900.2941.030.661.620.8901.030.502.110.932
Unknown6.794.5610.12<0.0011.340.911.970.1420.680.361.290.2360.350.111.090.069
Perpetrator previously convicted0.840.651.090.1850.650.411.030.065
Victim alcohol intoxicated1.421.151.760.0010.780.521.180.243
Victim resisted0.620.530.72<0.0010.980.811.190.8350.820.661.020.0750.900.601.340.59
Multiple perpetrators1.591.301.95<0.0010.820.641.030.0900.810.411.590.537
Victim abducted0.910.761.080.2761.140.911.440.2550.800.621.030.0840.700.461.050.087
Perpetrator had weapon1.060.881.280.531.100.901.340.3590.730.560.950.0221.701.142.550.010
Perpetrator used physical force1.190.961.480.1130.750.590.940.0131.741.112.730.015
Victim reported incident within 96 h1.140.751.740.5381.460.892.380.129
Reporting time missing2.001.193.350.0091.320.712.480.379
First report statement taken0.590.480.73<0.0010.890.681.150.3630.620.450.850.0040.870.441.710.684
Investigator visited place of rape0.490.420.58<0.0010.950.771.170.6171.681.162.410.006
Injuries recorded on J88—No injuries reference1.001.001.001.00
Non-genital injuries only1.020.721.430.9251.451.022.060.0390.660.411.060.0861.670.664.190.276
Non-genital injuries and genital injuries1.190.961.480.1180.870.681.120.2730.920.721.160.4771.430.782.640.246
J88 missing0.490.390.63<0.0010.730.560.940.0150.320.230.45<0.0012.701.684.35<0.001
SAECK completion –No SAECK completed reference1.00
SAECK completed within 96 h0.480.360.64<0.0011.140.811.590.4581.581.112.250.0122.091.203.650.01
SAECK completed after 96 h0.560.360.860.0091.570.982.520.0631.010.651.540.9800.950.461.960.890
SAECK completion time unknown0.390.240.62<0.0010.810.421.550.5161.090.701.680.7101.350.632.890.443
Perpetrator arrested/charged in court0.070.060.09<0.0010.200.120.33<0.001
Sample submitted to Forensic laboratory0.670.470.950.0250.570.321.010.054
DNA isolation confirmed0.570.430.76<0.0010.910.631.320.626
DNA matched1.911.003.670.053

Table 4. Model 2 shows that victim characteristics associated with police case closure included age, race and disability status. Cases were more likely to be closed by police with increasing victim age (aOR 1.01 [95% CI: 1.00–1.02]) and were less likely to be closed when cases involved disabled victims compared to cases in which victims had no disability (aOR 0.99 [95% CI: 0.98–1.00]). Police were less likely to close cases of Coloured (aOR 0.47 [95% CI: 0.34–0.66]), White or Indian or other Race victims (aOR 0.35 [95% CI: 0.14–0.88]) compared to Black African victims. Police were two times more likely to close cases involving intimate partners (aOR 2.6 [95% CI: 1.83–3.69]) or strangers (aOR 3.1 [95% CI: 2.21–4.34]) compared to perpetrators who were family members. Police closure of cases was not associated with whether the victim resisted, whether multiple perpetrators were involved, whether the victim was abducted, whether the perpetrator displayed a weapon or used physical force against the victim or the time taken by the victim to report the case. Police success at arresting a perpetrator, or having them charged at court, was associated with better chances for referral to prosecutors (aOR 0.07 [95% CI:0.06–0.09]). Undertaking other investigative tasks including taking testimonial evidence and completing SAECKs were not significantly associated with police closure of cases. Cases in which victims presented with non-genital injuries only (aOR 1.45 [95% CI: 1.02–2.06]), were more likely to be closed compared to cases in which victims presented with no genital or non-genital injuries. The cases in which we were unable to locate the J88 forms were also less likely to be closed by police.

Table 4Model 3 shows factors associated with prosecutors declining cases referred by police. There were differential associations between victim race categories and prosecutorial decision: cases of Coloured victims were more likely to be declined (aOR 1.86 [95% CI: 1.20–2.90]) compared to those of Black African victims. Prosecutors were more likely to decline to prosecute cases involving intimate partners (aOR 1.85 [95% CI:1.26–2.71]) compared to relatives. Prosecutor decisions were also driven by the perpetrator tactics: prosecutors more often accepted (and less often declined) cases in which the perpetrators physically assaulted the victim (aOR 0.75, [95% CI: 0.59–0.94) or displayed or used weapons (aOR 0.73 [95% CI: 0.56–0.95]) compared to cases in which these tactics were not used. Prosecutors were more likely to decline cases involving victims that were intoxicated (aOR 1.42 [95% CI:1.15–1.76]). Prosecutorial decision was also driven by the availability of evidence: prosecutors were less likely to decline cases in which the first report statement was taken (aOR 0.62 [95% CI: 0.45–0.85]), forensic specimens were submitted to the FSL (aOR 0.67 [95% CI: 0.47–0.95]), DNA was isolated (aOR 0.57 [95% CI: 0.43–0.76]) and perpetrators were arrested or charged at court (aOR 0.2 [95% CI: 0.12–0.33]).

Table 4Model 4 shows factors associated with a guilty verdict among cases that went to trial. This includes the perpetrators who pleaded guilty. Detectives visits to places of rape (aOR 1.68 [95% CI: 1.16–2.41]), completion of SAECKs within 96 h of the incident (aOR 2.09 [95% CI: 1.20–3.65) and accused/perpetrator DNA matching (aOR 1.91 [95% CI: 1.00–3.67]) increased the likelihood of a guilty verdict compared to when these had not been done. Perpetrators who displayed weapons (aOR 1.70 [95% CI:1.14–2.55]) or used physical force during the offence (aOR 1.74 [95% CI:1.11–2.73]) were more likely to be convicted compared to those who never used these tactics. However, convictions were not associated with availability of first report written statements or injuries found during the medical examination. Perpetrator conviction was not associated with victim age, disability or intoxication, but cases of Coloured victims (aOR 3.15 [95% CI: 1.34–7.44]) were three times more likely to end in convictions compared to cases of Black African victims.

DISCUSSION

Our study drew data from a nationally representative sample of rape cases reported at police stations in South Africa in 2012 with the aim of describing patterns of attrition, and factors associated with attrition in the CJS. We found that attrition occurred across the different stages of the CJS: 35 per cent of cases were closed by police at the investigation phase, 31 per cent were declined by the prosecutors, 16 per cent were enrolled for trial but later struck off the role before trial commencement, 19 per cent went on trial and 9 per cent were finalised with conviction. In the past, South African attrition studies that were conducted were localised and this study is the first to provide more recent evidence of attrition that is occurring nationally and in the dispensation of new legislation (Smythe 2004; Artz and Smythe 2007a; 2007b, Vetten et al. 2008, Jewkes et al. 2009; Smythe 2015). While the national study pointed to some important variations between provinces (Machisa et al. 2017), the attrition rates found in this study reflect small shifts in attrition and conviction rates in comparison to the Tracking Justice study, a similar study conducted in South Africa’s most populous province over a decade ago (Vetten et al. 2008). Therefore, these findings suggest slow progress in improvements in rape case attrition and conviction rates within the South African CJS over many years.

We found that a combination of legal and extra-legal factors was associated with case attrition at the different stages. Success at evidence collection, processing and arresting perpetrators or having them charged at court, were key legal factors that positively impacted case progression at the police investigation and prosecutor enrolment stages. The aggravating physical tactics employed by perpetrators and victim resistance during the offence also positively impacted on arrests, as has been shown in other studies (Alderden and Ullman 2012; Spohn et al. 2014). Extra-legal factors which included victim characteristics, relationship with the perpetrator and victim behaviours also had differential impacts on case attrition. Cases involving intimate partners and strangers were more likely to lead to non-arrests and to be closed without referral for prosecution compared to relative perpetrators, although the strength of these associations was greatest for the stranger rapes. Cases involving intimate partners, which were most common among the Coloured victims and cases in which victims were alcohol intoxicated were less likely to be enrolled for prosecution. Forensic evidence collection was a key legal factor which impacted case trial outcomes: completion of the SAECKs within 96 h of the rape incident and DNA matching doubled the likelihood of guilty convictions among cases that were put on trial. Aggravating circumstances including the physical assault of victims and presence of a weapon during the offence also increased the likelihood of convictions. However, unlike in the previous Tracking Justice study, reporting injuries was not associated with case outcomes (Vetten et al. 2008).

Of concern is that extra-legal factors including victim characteristics and the details about the victim-perpetrator relationships continue to affect police and prosecutor decision-making and impact on case attrition within the South African CJS as has been demonstrated elsewhere in the world (Du Mont et al. 2003; Alderden and Ullman 2012; Spohn et al. 2014; Smythe 2015; Spohn 2020). We found poorer outcomes for Black victims compared to other race groups. For example, perpetrators were less likely to be arrested, and cases were more likely to be closed by police and less likely to end in convictions. These findings may implicate the effects of independent case decision making by different actors of the CJS which accumulates to reflect systemic discrimination of victims by race (Shaw and Lee 2019). South Africa’s history of apartheid discriminated against Black people and it would appear that racial discrimination is persisting in more recent times and affecting Black, mostly women, victims’ access to justice (Frohmann 1997; Artz 2008).

Based on our findings, it is plausible that police detectives and prosecutors within the South African CJS continue to dismiss cases based on biased decisions informed by their perceptions about the victims’ alcohol consumption as risk-taking and problematic assumptions about the potential negative impacts of the victims’ intoxication on the credibility and inconsistencies of the testimonial evidence they provide (Alderden and Ullman 2012; Lynch et al. 2013; Spohn et al. 2014; Smythe 2015; Morabito et al. 2019a). Yet, ample evidence implicates alcohol as a tool used by rape perpetrators to alter victim judgement during the incident as well as recall and reporting thereafter (Abbey et al. 2001). However, other research has shown that victims who drank alcohol prior to the rape, were more likely to self-blame and receive blame or stigma from others which negatively affects their own participation in pursuing the case (Alderden and Ullman 2012; Kaiser et al. 2017; Morabito et al. 2019a)

The high attrition rate of intimate partner rape cases is consistent with research conducted in other countries (O’Neal et al. 2015; O’Neal and Spohn 2017). Intimate partner rape case attrition occurs as the result of combinations of factors including the acceptance of rape myths dismissive of intimate rape and also ideas around convictability among police investigators and prosecutors (Du Mont et al. 2003; Smythe 2015; O’Neal et al. 2015; O’Neal and Spohn 2017). There is evidence that police may be reluctant to refer such cases for prosecution and prosecutors may reject enrolling intimate partner rape cases because of the perception that the likelihood of conviction is low (Du Mont et al. 2003; O’Neal et al. 2015; Smythe 2015).

While aggravating circumstances were a factor associated with case enrolment and convictions, our findings may be reflecting that the stereotyping of rape incidents by CJS personnel contributes differentially to the progression of cases so that ‘more serious or “likely” cases’ may be afforded extra attention and effort to those ‘less serious or unlikely cases’ (Alderden and Ullman 2012). However, there is also evidence that suggests that victims involved in stereotypical cases involving weapons, physical assaults and injury tend to be more vested in cases as seen by their greater willingness and participation in pursuing cases (Alderden and Ullman 2012; Spohn et al. 2014; Alderden and Long 2016). We also found that police were more likely to withdraw cases as victim age increased. This finding may reflect both the possible biases in case management by age but may well again be a factor of victim preferences and participation because adult victims have the choice to withdraw cases (Alderden and Long 2016; Kaiser et al. 2017)

The high attrition of rape cases involving stranger perpetrators, upstream of the South African CJS, mostly due to the failure of police to identify the perpetrator sheds light on the importance of effective and timeous investigations which lead to the collection of much needed forensic evidence, alleviation of attrition and improving likelihood of positive outcomes through DNA analysis and case linkage (Jewkes et al. 2009; Van der Watt et al. 2015; Woodhams et al. 2019). However, the poor detection and arrest of stranger perpetrators could have been influenced by other systemic factors which have been reported during this study and also from previous South African studies which include poor personnel supervision and inadequate resource allocation, e.g., it is impossible to conduct thorough investigations without appropriate vehicle allocations (Artz and Smythe 2007b; Smythe 2015; Machisa et al. 2017; Woodhams et al. 2019). Undoubtedly, stranger rape case conviction rates could be improved by timeous collection and proper handling of forensic evidence by police members, prosecutor collaboration, as well as greater efficiency and analysis capacity at the forensic laboratory in line with the South African national guidelines for sexual offences case management (Artz et al. 2004; South African Police Services 2008; Jewkes et al. 2009; National Prosecuting Authority South Africa 2014; Van der Watt et al. 2015; Woodhams et al. 2019).

Our study had several limitations. As this study used a retrospective data review design, we were limited with respect to the depth and completeness of the information available for abstraction from the documentary data sources, therefore in analysis we created a ‘missing data’ category for many key variables. While missing data may have impacted on the findings overall, this should not affect their generalisability, because the overall number of dockets from which we took information was over 90 per cent of the intended sample. We therefore believe that generalisability of our findings is likely to be high. Due to the retrospective design, our study findings reflect on case-management dynamics of the past (year 2012) and may not accurately paint the truest picture on the CJS presently. However, the retrospective design provided the opportunity to track the progression of cases over time without interfering with the case and is useful to identify areas for improvement in service delivery and rape case management. Additionally, because our study was only based on documentary review, there may have been other factors which influenced rape case attrition that the research team was not privy to, e.g., the behaviours and the nature of the interactions between the victim, detectives and prosecutors are not reflected in documents (Artz and Smythe 2007b; Smythe 2015). Future prospective attrition studies may do well to explore the impacts of these factors.

As highlighted previously, prior to the legislative reforms and this research, national level data investigating rape case attrition was lacking. The previous Tracking Justice which used similar methods only used data from Gauteng, one of South Africa’s nine provinces [Vetten 2008, Vetten et al. 2008: #369]. However, findings from the Gauteng Tracking Justice had the limitations of not being generalisable to the remaining provinces. Thus, this study’s contribution is the nationally representative data necessary to understand patterns of attrition. Moreover, comparing the Gauteng data from this study and that of the previous tracking Justice study it appears that the many systemic reforms have not resulted in much improvement on attrition. Based on these findings further investigation is necessary to understand the limited improvements despite numerous reforms. There findings give imperative to move beyond implementing systemic reforms to evaluating their effectiveness in impacting rape case outcomes.

CONCLUSION

Our study has described attrition rates and highlighted the legal and extra-legal factors which require urgent attention if rape case attrition is to be alleviated within the South African CJS. The findings emphasize the importance of effective and thorough police investigations in securing rape convictions. They provide impetus for systemic-wide interventions including strengthening personnel management, strengthening the integrated inter-departmental response and adequate resourcing that is requisite to ensure effective case management and reduction in the high attrition of cases due to the failure of police to identify the perpetrators. These findings implicate the need for continual training of CJS personnel to address the perpetual gender or other rape stereotyping that negatively impacts on decision-making, case management, attrition and outcomes.

Funding

The research was made possible with the generous support of the American people through the United States Agency for International Development (USAID) and the President’s Emergency Plan for AIDS Relief (PEPFAR). This publication was made possible through the funds received from the South African Medical Research Council.

Acknowledgements

We acknowledge the South African Police Service and the offices of the National and Provincial Commissioners who gave permission for this study. The study would also have not been possible without the assistance of the station commanders and staff in the selected police stations and courts across the country.

Data Availability

The data may be made available by the authors upon reasonable request.

REFERENCES

Aakvaag
,
H. F.
,
Thoresen
,
S.
,
Wentzel-Larsen
,
T.
,
Dyb
,
G.
,
Røysamb
,
E.
and
Olff
,
M.
(
2016
),
‘Broken and Guilty Since It Happened: A Population Study of Trauma-related Shame and Guilt After Violence and Sexual Abuse’
,
Journal of Affective Disorders
,
204
:
16
23
.

Abbey
,
A.
,
Zawacki
,
T.
,
Buck
,
P. O.
,
Clinton
,
A. M.
and
Mcauslan
,
P.
(
2001
),
‘Alcohol and Sexual Assault
,
Alcohol Research & Health
,
25
:
43
.

Alderden
,
M.
and
Long
,
L.
(
2016
),
‘Sexual Assault Victim Participation in Police Investigations and Prosecution’
,
Violence and Victims
,
31
:
819
36
.

Alderden
,
M. A.
and
Ullman
,
S. E.
(
2012
),
‘Creating a More Complete and Current Picture: Examining Police and Prosecutor Decision-making When Processing Sexual Assault Cases
,
Violence Against Women
,
18
:
525
51
.

Artz
,
L. M.
(
2008
),
An Examination of the Attrition of Domestic Violence Cases Within the Criminal Justice System in Post-apartheid South Africa
(Doctoral dissertation, Queen’s University of Belfast), Belfast, Northern Ireland.

Artz
,
L.
and
Smythe
,
D.
(
2007a
),
‘Case Attrition in Rape Cases: A Comparative Analysis’
,
South African Journal of Criminal Justice
,
20
:
158
81
.

Artz
,
L.
and
Smythe
,
D.
(
2007b
),
‘Losing Ground? Making Sense of Attrition in Rape Cases
,
SA Crime Quarterly
,
2007
:
13
20
.

Artz
,
L.
,
Smythe
,
D.
and
Leggett
,
T.
(
2004
),
Reflections on Integrated Rape Case Management
.
South Africa
:
University of Cape Town
.

Bougard
,
N. B.
and
Booyens
,
K.
(
2015
),
‘Adult Female Rape Victims’ Views About the Thuthuzela Care Centres: a South African Multi-disciplinary Service Delivery Model’
,
Acta Criminologica: Southern African Journal of Criminology
,
2015
:
19
33
.

Burman
,
M.
,
Lovett
,
L.
and
Kelly
,
L.
(
2009
),
Different Systems, Similar Outcomes? Tracking Attrition in Reported Rape Cases In Eleven Countries.
Country briefing
:
Scotland, Child and Woman Abuse Studies Unit, London Metropolitan University
.

Daly
,
K.
and
Bouhours
,
B.
(
2010
),
‘Rape and Attrition in the Legal Process: A Comparative Analysis of Five Countries’
,
Crime and Justice
,
39
:
565
650
.

Du Mont
,
J.
,
Miller
,
K.-L.
and
Myhr
,
T. L.
(
2003
),
‘The Role of “Real Rape” and “Real Victim” Stereotypes in the Police Reporting Practices of Sexually Assaulted Women’
,
Violence Against Women
,
9
:
466
86
.

Forr
,
C.
,
Schei
,
B.
,
Stene
,
L. E.
,
Ormstad
,
K.
and
Hagemann
,
C. T.
(
2018
),
‘Factors Associated With Trace Evidence Analyses and DNA Findings Among Police Reported Cases of Rape
,
Forensic Science International
,
283
:
136
43
.

Frohmann
,
L.
(
1997
),
‘Convictability and Discordant Locales: Reproducing Race, Class, and Gender Ideologies in Prosecutorial Decision Making’
,
Law and Society Review
,
1
:
531
56
.

Gregory
,
J.
and
Lees
,
S.
(
1999
),
Policing Sexual Assault
(1st ed.).
London, UK
:
Routledge
. doi:10.4324/9780203056714.

Grubb
,
A.
and
Turner
,
E.
(
2012
),
‘Attribution of Blame in Rape Cases: A Review of the Impact of Rape Myth Acceptance, Gender Role Conformity and Substance Use on Victim Blaming’
,
Aggression and Violent Behavior
,
17
:
443
52
.

Hansen
,
N. B.
,
Hansen
,
M.
,
Campbell
,
R.
,
Elklit
,
A.
,
Hansen
,
O. I.
and
Bramsen
,
R. H.
(
2019
),
‘Are Rape Cases Closed Because of Rape Stereotypes? Results From a Danish Police District’
,
Nordic Psychology
,
71
:
51
61
.

Harris
,
J.
and
Grace
,
S.
(
1999
),
A Question of Evidence?: Investigating and Prosecuting Rape in the 1990s
.
London, UK
:
Home Office
.

Jewkes
,
R.
,
Christofides
,
N.
,
Vetten
,
L.
,
Jina
,
R.
,
Sigsworth
,
R.
and
Loots
,
L.
(
2009
),
‘Medico-legal Findings, Legal Case Progression, and Outcomes in South African Rape Cases: Retrospective Review’
,
PLoS Med
,
6
:
e1000164
.

Jina
,
R.
,
Jewkes
,
R.
,
Christofides
,
N.
and
Smith
,
J. H.
(
2011
),
‘Recovering of DNA Evidence After Rape’
,
SAMJ: South African Medical Journal
,
101
:
758
9
.

Jina
,
R.
,
Jewkes
,
R.
,
Loots
,
L.
and
Christofides
,
N.
(
2008
),
‘Caring for Survivors of Sexual Assault: A Training Programme for Health Care Providers in South Africa’,
in
Participant’s Manual
.
Pretoria
:
National Department of Health
.

Kaiser
,
K. A.
,
O’neal
,
E. N.
and
Spohn
,
C.
(
2017
),
‘“Victim Refuses to Cooperate”: A Focal Concerns Analysis of Victim Cooperation in Sexual Assault Cases.”,
Victims & Offenders
,
12
:
297
322
.

Koss
,
M. P.
(
1985
),
‘The Hidden Rape Victim: Personality, Attitudinal, and Situational Characteristics’
,
Psychology of Women Quarterly
,
9
:
193
212
.

Koss
,
M. P.
,
Dinero
,
T. E.
,
Seibel
,
C. A.
and
Cox
,
S. L.
(
1988
),
‘Stranger and Acquaintance Rape: Are There Differences in the Victim’s Experience?’,
Psychology of Women Quarterly
,
12
:
1
24
.

Krahe
,
B.
,
Temkin
,
J.
,
Bieneck
,
S.
and
Berger
,
A.
(
2008
),
‘Prospective Lawyers’ Rape Stereotypes and Schematic Decision Making About Rape Cases’,
Psychology, Crime & Law
,
14
:
461
79
.

Lea
,
S. J.
,
Lanvers
,
U.
and
Shaw
,
S.
(
2003
),
‘Attrition in Rape Cases. Developing a Profile and Identifying Relevant Factors’
,
The British Journal of Criminology
,
43
:
583
99
.

Lynch
,
K. R.
,
Wasarhaley
,
N. E.
,
Golding
,
J. M.
and
Simcic
,
T.
(
2013
),
‘Who Bought the Drinks? Juror Perceptions of Intoxication in a Rape Trial’
,
Journal of Interpersonal Violence
,
28
:
3205
22
.

Machisa
,
M.
,
Jina
,
R.
,
Labuschagne
,
G.
,
Vetten
,
L.
,
Loots
,
L.
,
Swemmer
,
S.
,
Meyersfeld
,
B.
and
Jewkes
,
R.
(
2017
),
Rape Justice in South Africa: A Retrospective Study of the Investigation, Prosecution and Adjudication of Reported Rape Cases From 2012.
Pretoria, South Africa
:
Gender and Health Research Unit, South African Medical Research Council
.

Maddox
,
L.
,
Lee
,
D.
and
Barker
,
C.
(
2011
),
‘Police Empathy and Victim PTSD as Potential Factors in Rape Case Attrition’
,
Journal of Police and Criminal Psychology
,
26
:
112
7
.

Morabito
,
M. S.
,
Pattavina
,
A.
and
Williams
,
L. M.
(
2019a
),
‘It All Just Piles Up: Challenges to Victim Credibility Accumulate to Influence Sexual Assault Case Processing’
,
Journal of Interpersonal Violence
,
34
:
3151
70
.

Morabito
,
M. S.
,
Williams
,
L. M.
and
Pattavina
,
A.
(
2019b
),
‘Decision Making in Sexual Assault Cases: Replication Research on Sexual Violence Case Attrition in the US’,
in
Final Technical Report #252689
.
Washington, DC
:
U.S. Department of Justice
.

Munro
,
V.
and
Kelly
,
L.
(
2009
),
‘A Vicious Cycle?: Attrition and Conviction Patterns in Contemporary Rape Cases in England and Wales’,
in
J.
Brown
, and
M.
Horvath
(eds.)
Rape: Challenging Contemporary Thinking
,
281
300
.
Cullompton, Devon
:
Willan Publications
.

Nagel
,
B.
,
Matsuo
,
H.
,
Mcintyre
,
K. P.
and
Morrison
,
N.
(
2005
),
‘Attitudes Toward Victims of Rape: Effects of Gender, Race, Religion, and Social Class’
,
Journal of Interpersonal Violence
,
20
:
725
37
.

National Prosecuting Authority.
(
2014
),
National Prosecuting Authority of South Africa: Annual report 2013/2014
.
Pretoria, South Africa
:
National Prosecuting Authority
.

National Prosecuting Authority South Africa.
(
2014
),
‘National Directives on the Prosecution of Sexual Offences Cases In Terms of the Criminal Law (Sexual Offences and Related Matters) Amendment Act, 2007’
.
Pretoria, South Africa
:
National Prosecuting Authority of South Africa
. Available at https://nationalgovernment.co.za/department_annual/80/2014-national-prosecuting-authority-of-south-africa-annual-report.pdf

Nishith
,
P.
,
Resick
,
P. A.
and
Mueser
,
K. T.
(
2001
),
‘Sleep Difficulties and Alcohol Use Motives in Female Rape Victims With Posttraumatic Stress Disorder’
,
Journal of Traumatic Stress
,
14
:
469
79
.

O’neal
,
E. N.
and
Spohn
,
C.
(
2017
),
‘When the Perpetrator is a Partner: Arrest and Charging Decisions in Intimate Partner Sexual Assault Cases—A Focal Concerns Analysis’
,
Violence Against Women
,
23
:
707
29
.

O’neal
,
E. N.
,
Tellis
,
K.
and
Spohn
,
C.
(
2015
),
‘Prosecuting Intimate Partner Sexual Assault: Legal and Extra-legal Factors That Influence Charging Decisions’
,
Violence Against Women
,
21
:
1237
58
.

Republic of South Africa.
(
2007
),
Criminal Law (Sexual Offences and Related Matters) Amendment Act No. 32 of 2007
, Vol.
510
.
Cape Town
:
Government Gazette
.

Santtila
,
P.
,
Korkman
,
J.
and
Kenneth Sandnabba
,
N.
(
2004
),
‘Effects of Interview Phase, Repeated Interviewing, Presence of a Support Person, and Anatomically Detailed Dolls on Child Sexual Abuse Interviews’,
Psychology, Crime and Law
,
10
:
21
35
.

Shaw
,
J.
and
Lee
,
H.
(
2019
),
‘Race and the Criminal Justice System Response to Sexual Assault: A Systematic Review’
,
American Journal of Community Psychology
,
64
:
256
78
.

Siller
,
L.
(
2018
),
The Role of the Victim-Assailant Relationship in Sexual Assault Case Attrition
(Doctoral dissertation, Northeastern University)
.
Boston, USA
.

Smythe
,
D.
(
2004
),
‘The Problem of Attrition in Rape Cases’
,
News and Views for Magistrates
,
2004
:
1
2
.

Smythe
,
D.
(
2015
),
Rape Unresolved: Policing Sexual Offences in South Africa
.
Cape Town, South Africa
:
University of Cape Town Press, Juta and Company (Pty) Ltd.

Snyder
,
H. N.
(
2000
),
Sexual Assault of Young Children as Reported to Law Enforcement: Victim, Incident, and Offender Characteristics: A Statistical Report Using Data From the National Incident-Based Reporting System.
Washington, D.C., USA
:
US Department of Justice, Office of Justice Programs, Bureau of Justice Statistics
.

South African Police Service.
(
2008
),
National Instructions 3/2008: Sexual offences.
Pretoria, South Africa
:
South African Police Service
. Available at https://www.saps.gov.za/resource_centre/acts/downloads/sexual_offences/ni/ni0308e.pdf

Spohn
,
C.
(
2020
),
‘Sexual Assault Case Processing: The More Things Change, the More They Stay the Same’
,
International Journal for Crime, Justice and Social Democracy
,
9
:
86
94
.

Spohn
,
C.
,
Beichner
,
D.
and
Davis-Frenzel
,
E.
(
2001
),
‘Prosecutorial Justifications for Sexual Assault Case Rejection: Guarding the “Gateway to Justice”’
,
Social Problems
,
48
:
206
35
.

Spohn
,
C.
and
Tellis
,
K.
(
2019
),
‘Sexual Assault Case Outcomes: Disentangling the Overlapping Decisions of Police and Prosecutors’
,
Justice Quarterly
,
36
:
383
411
.

Spohn
,
C.
,
Tellis
,
K.
and
O’neal
,
E. N.
(
2014
),
‘Policing and Prosecuting Sexual Assault’
,
Critical Issues on Violence Against Women: International Perspectives and Promising Strategies
,
3
:
93
103
.

Statistics South Africa, N
. (
2012
),
Census 2011 Statistical Release
.
Pretoria, South Africa
:
Statistics South Africa
.

Swemmer
,
S.
(
2020
),
‘Justice Denied? Prosecutors and Presiding Officers’ Reliance on Evidence of Previous Sexual History in South African Rape Trials’
,
SA Crime Quarterly
,
45
56
.

Taylor
,
S. C.
and
Gassner
,
L.
(
2010
),
‘Stemming the Flow: Challenges for Policing Adult Sexual Assault With Regard to Attrition Rates and Under-reporting of Sexual Offences’
,
Police Practice and Research: An International Journal
,
11
:
240
55
.

Ullman
,
S. E.
,
Filipas
,
H. H.
,
Townsend
,
S. M.
and
Starzynski
,
L. L.
(
2005
),
‘Trauma Exposure, Posttraumatic Stress Disorder and Problem Drinking in Sexual Assault Survivors’
,
Journal of Studies on Alcohol
,
66
:
610
9
.

Van Der Watt
,
M.
,
Benson
,
B.
and
Labuschagne
,
G.
(
2015
),
‘From Stranger to Serial:(re) Emphasising the Value of Docket Analysis as a Linkage Tool in Serial Rape Identification’
,
Acta Criminologica: Southern African Journal of Criminology
,
28
:
62
77
.

Vetten
,
L.
(
2008
),
Tracking Justice: the Attrition of Rape Cases Through the Criminal Justice System in Gauteng
.
Tshwaranang Legal Advocacy Centre
.

Vetten
,
L.
and
Haffejee
,
S.
(
2005
),
‘Gang Rape: A Study in Inner-city Johannesburg’
,
South African Crime Quarterly
,
31
6
.

Vetten
,
L.
,
Jewkes
,
R.
,
Sigsworth
,
R.
,
Christofides
,
N.
,
Loots,
L.
and
Dunseith
,
O.
(
2008
),
Tracking Justice: The Attrition of Rape Cases Through the Criminal Justice System in Gauteng
.
Johannesburg, South Africa
:
Tshwaranang Legal Advocacy Centre. South African Medical Research Council (MRC) and The Centre for the study of Violence and Reconciliation (CSVR)
.

Waterhouse
,
G. F.
,
Reynolds
,
A.
and
Egan
,
V.
(
2016
),
‘Myths and Legends: The Reality of Rape Offences Reported to a UK Police Force’
,
The European Journal of Psychology Applied to Legal Context
,
8
:
1
10
.

Watson
,
J.
(
2015
),
The Role of the State in Addressing Sexual Violence: Assessing Policing Service Delivery Challenges Faced by Victims of Sexual Offences.
APCOF Policy Brief No. 13. Cape Town, South Africa
:
African Policing Civilian Oversight Forum
.

Wong
,
J. S.
and
Balemba
,
S.
(
2016
),
‘Resisting During Sexual Assault: A Meta-analysis of the Effects on Injury’
.
Aggression and Violent Behavior
,
28
:
1
11
.

Woodhams
,
J.
and
Cooke
,
C.
(
2013
),
‘Suspect Aggression and Victim Resistance in Multiple Perpetrator Rapes’
.
Archives of Sexual Behavior
,
42
:
1509
16
.

Woodhams
,
J.
,
Hollin
,
C. R.
,
Bull
,
R.
and
Cooke
,
C.
(
2012
),
‘Behavior Displayed by Female Victims During Rapes Committed by Lone and Multiple Perpetrators’.
Psychology, Public Policy, and Law
,
18
:
415
52
.

Woodhams
,
J.
,
Tonkin
,
M.
,
Imre
,
H.
,
Winter
,
J. M.
,
Lam
,
E.
,
ten Brinke
,
G.-J.
,
Webb
,
M.
,
Labuschagne
,
G.
,
Bennell
,
C.
,
Ashmore-Hills
,
L.
,
van der Kemp
,
J.
,
Lipponen
,
S.
,
Pakkanen
,
T.
,
Rainbow
,
L.
,
Salfati
,
C. G.
,
Santtila
,
P.
and
Burrell
,
A.
(
2019
),
‘Linking Serial Sexual Offences: Moving Towards an Ecologically Valid Test of the Principles of Crime Linkage’
,
Legal and Criminological Psychology
,
24
:
123
40
. doi:10.1111/lcrp.12144.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected]