Calling the Police: Citizen Reporting of Serious Crime, 1979 (ICPSR 8185)
Capturing Human Trafficking Victimization Through Crime Reporting, United States, 2013-2016 (ICPSR 37907)
Despite public attention to the problem of human trafficking, it has proven difficult to measure the problem. Improving the quality of information about human trafficking is critical to developing sound anti-trafficking policy. In support of this effort, in 2013 the Federal Bureau of Investigation incorporated human trafficking offenses in the Uniform Crime Reporting (UCR) program. Despite this achievement, there are many reasons to expect the UCR program to underreport human trafficking. Law enforcement agencies struggle to identify human trafficking and distinguishing it from other crimes. Additionally, human trafficking investigations may not be accurately classified in official data sources. Finally, human trafficking presents unique challenges to summary and incident-based crime reporting methods. For these reasons, it is important to understand how agencies identify and report human trafficking cases within the UCR program and what part of the population of human trafficking victims in a community are represented by UCR data. This study provides critical information to improve law enforcement identification and reporting of human trafficking.
Coding criminal incidents investigated as human trafficking offenses in three US cities, supplemented by interviews with law and social service stakeholders in these locations, this study answers the following research questions:
- How are human trafficking cases identified and reported by the police?
- What sources of information about human trafficking exist outside of law enforcement data?
- What is the estimated disparity between actual instances of human trafficking and the number of human trafficking offenses reported to the UCR?
Enhancing the Research Partnership Between the Albany Police Department and the Finn Institute, 2005-2016 (ICPSR 37820)
The Finn Institute is an independent, not-for-profit corporation that conducts research on matters of public safety and security. The project provided for steps that would strengthen and enhance an existing police-researcher partnership, focused around analyses of proactive policing. As part of a research partnership with the Albany Police Department (APD) and the Finn Institute, this study was oriented around a basic research question: can proactive policing be conducted more efficiently, in the sense that a better ratio of high-value to lower-value stops is achieved, such that the trade-off between crime reduction and police community relations is mitigated.
Albany Resident Survey Dataset (DS1) unit of analysis was individuals. Variables include neighborhood crime and disorder, legitimacy and satisfaction with police service, and direct and vicarious experience with stop and perceptions of stops as a problem. Demographic variables include age, race, education, employment, marital status, and household count.
Management of "Smart Stops" Dataset (DS2) unit of analysis was investigatory stops; variables include records of individual stops, the month and year of the stop, whether the location of the stop was a high-crime location, whether the person stopped (or any of the persons stopped, if multiple people were stopped at one time) were high-risk, and whether the stop resulted in an arrest.
Trends in Proactive Policing Dataset (DS3) unit of analysis was APD officers. Variables include number of stops per quarter; variables include demographics such as officer characteristics such as their assignments, length of service, and gender.
Evaluation of a Centralized Response to Domestic Violence by the San Diego County Sheriff's Department Domestic Violence Unit, 1998-1999 (ICPSR 3488)
Evaluation of the Use of Computers in Patrol Cars by the San Francisco Police Department, 1999-2000 (ICPSR 3489)
Experience of Violence in the Lives of Homeless Persons: The Florida Four City Study, 2003-2004 (ICPSR 20363)
Exploring Alternative Data Sources for the Study of Assault in Miami, Florida, St. Louis, Missouri, and Pittsburgh, Pennsylvania, 1994 -1997 (ICPSR 4358)
Impact of Legal Advocacy on Intimate Partner Homicide in the United States, 1976-1997 (ICPSR 25621)
Law Enforcement and Sex Offender Registration and Notification: Perspectives, Uses, and Experiences, 2014-2015 [United States] (ICPSR 36534)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
This study represents the first comprehensive national assessment of law enforcement uses of and perspectives on sex offender registration and notification (SORN) systems. The two-year, mixed-method study featured collection and analysis of interview data from over two-dozen jurisdictions, and administration of a nationwide survey of law enforcement professionals. The study examined ways in which law enforcement leaders, uniformed staff, and civilian staff engaged in SORN-related duties perceive SORN's roles and functions, general effectiveness, and informational utility. Additionally, the study elicited law enforcement perspectives related to promising SORN and related sex offender management practices, perceived barriers and challenges to effectiveness, and policy reform priorities.
This collection includes two SPSS data files and one SPSS syntax file: "LE Qualitative Data.sav" with 55 variables and 101 cases, "LE Quantitative Data-ICPSR.sav" with 201 variables and 1402 cases and "LE Quantitative Data Syntax.sps".
Qualitative data from interviews conducted with law enorcement professionals are not available at this time.
Linking Theory to Practice: Examining Geospatial Predictive Policing, Denver, Colorado, 2013-2015 (ICPSR 37299)
This research sought to examine and evaluate geospatial predictive policing models across the United States. The purpose of this applied research is three-fold: (1) to link theory and appropriate data/measures to the practice of predictive policing; (2) to determine the accuracy of various predictive policing algorithms to include traditional hotspot analyses, regression-based analyses, and data-mining algorithms; and (3) to determine how algorithms perform in a predictive policing process.
Specifically, the research project sought to answer questions such as:
- What are the underlying criminological theories that guide the development of the algorithms and subsequent strategies?
- What data are needed in what capacity and when?
- What types of software and hardware are useful and necessary?
- How does predictive policing "work" in the field? What is the practical utility of it?
- How do we measure the impacts of predictive policing?
The project's primary phases included: (1) employing report card strategies to analyze, review and evaluate available data sources, software and analytic methods; (2) reviewing the literature on predictive tools and predictive strategies; and (3) evaluating how police agencies and researchers tested predictive algorithms and predictive policing processes.
Missing Data in the Uniform Crime Reports (UCR), 1977-2000 [United States] (ICPSR 32061)
National Survey of Staffing Issues in Large Police Agencies, 2006-2007 [United States] (ICPSR 29162)
Neighborhood Revitalization and Disorder in Salt Lake City, Utah, 1993-2000 (ICPSR 3261)
Police Decision Making in Sexual Assault Cases: An Analysis of Crime Reported to the Los Angeles Police Department and the Los Angeles County Sheriff's Department, 2008 (ICPSR 32601)
This study used a mixed-methods approach to pursue five interrelated objectives: (1) to document the extent of case attrition and to identify the stages of the criminal justice process where attrition is most likely to occur; (2) to identify the case complexities and evidentiary factors that affect the likelihood of attrition in sexual assault cases; (3) to identify the predictors of case outcomes in sexual assault cases; (4) to provide a comprehensive analysis of the factors that lead police to unfound the charges in sexual assault cases; and (5) to identify the situations in which sexual assault cases are being cleared by exceptional means. Toward this end, three primary data sources were used: (1) quantitative data on the outcomes of sexual assaults reported to the Los Angeles Police Department (LAPD) and the Los Angeles County Sheriff's Department (LASD) from 2005 to 2009, (2) qualitative data from interviews with detectives and with deputy district attorneys with the Los Angeles District Attorney's Office who handled sexual assault cases during this time period, and (3) detailed quantitative and qualitative data from case files for a sample of cases reported to the two agencies in 2008.
The complete case files for sexual assaults that were reported to the Los Angeles Police Department and the Los Angeles County Sheriff's Department in 2008 were obtained by members of the research team and very detailed information (quantitative and qualitative data) was extracted from the files on each case in Dataset 1 (Case Outcomes and Characteristics: Reports from 2008). The case file included the crime report prepared by the patrol officer who responded to the crime and took the initial report from the complainant, all follow-up reports prepared by the detective to whom the case was assigned for investigation, and the detective's reasons for unfounding the report or for clearing the case by arrest or by exceptional means. The case files also included either verbatim accounts or summaries of statements made by the complainant, by witnesses (if any), and by the suspect (if the suspect was interviewed); a description of physical evidence recovered from the alleged crime scene, and the results of the physical exam (Sexual Assault Response Team (SART) exam) of the victim (if the victim reported the crime within 72 hours of the alleged assault). Members of the research team read through each case file and recorded data in an SPSS data file. There are 650 cases and 261 variables in the data file. The variables in the data file include administrative police information and charges listed on the police report. There is also information related to the victim, the suspect, and the case.
Datasets 2-5 were obtained from the district attorney's office and contain outcome data that resulted in the arrest of a suspect. The outcome data obtained from the agency was for the following sex crimes: rape, attempted rape, sexual penetration with a foreign object, oral copulation, sodomy, unlawful sex, and sexual battery.
Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) is a subset of Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 2 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - All Cases) contains 10,832 cases and 29 variables. Dataset 3 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Police Department - Adult Arrests) contains 891 cases and 45 variables.
Similarly, Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) is a subset of Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) in that it only contains cases that resulted in the arrest of at least one adult suspect. Dataset 4 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - All Cases) contains 3,309 cases and 33 variables. Dataset 5 (Sexual Assault Case Attrition: 2005 to 2009, Los Angeles Sheriff's Department - Adult Arrests) contains 904 cases and 47 variables.
Repeat Complaint Address Policing: Two Field Experiments in Minneapolis, 1985-1987 (ICPSR 9788)
Role of Stalking in Domestic Violence Crime Reports Generated by the Colorado Springs Police Department, 1998 (ICPSR 3142)
Survey of Police Chiefs' and Data Analysts' Use of Data in Police Departments in the United States, 2004 (ICPSR 32103)
Systems Change Analysis of Sexual Assault Nurse Examiner (SANE) Programs in One Midwestern County of the United States, 1994-2007 (ICPSR 25881)
The purpose of this study was to determine whether adult sexual assault cases in a Midwestern community were more likely to be investigated and prosecuted after the implementation of a Sexual Assault Nurse Examiner (SANE) program, and to identify the 'critical ingredients' that contributed to that increase.
Part 1 (Study 1: Case Records Quantitative Data) used a quasi-experimental, nonequivalent comparison group cohort design to compare criminal justice systems outcomes for adult sexual assault cases treated in county hospitals five years prior to the implementation of the Sexual Assault Nurse Examiner (SANE) program (January 1994 to August 1999) (the comparison group, n=156) to cases treated in the focal SANE program during its first seven years of operation (September 1999 to December 2005) (the intervention group, n=137). Variables include focus on case outcome, law enforcement agency that handled the case, DNA findings, and county-level factors, including prosecutor elections and the emergence of the focal SANE program.
Part 2 (Study 2: Case Characteristics Quantitative Data) used the adult sexual assault cases from the Study 1 intervention group (post-SANE) (n=137) to examine whether victim characteristics, assault characteristics, and the presence and type of medical forensic evidence predicted case progression outcomes.
Part 3 (Study 3: Police and Prosecutors Interview Qualitative Data) used in-depth interviews in April and May of 2007 with law enforcement supervisors (n=9) and prosecutors (n=6) in the focal county responsible for the prosecution of adult sexual assault crimes to explore if and how the SANEs affect the way in which police and prosecutors approach such cases. The interviews focused on four main topics: (1) whether they perceived a change in investigations and prosecution of adult sexual assault cases in post-SANE, (2) their assessment of the quality and utility of the forensic evidence provided by SANEs, (3) their perceptions regarding whether inter-agency training has improved the quality of police investigations and reports post-SANE, and (4) their perceptions regarding if and how the SANE program increased communication and collaboration among legal and medical personnel, and if such changes have influenced law enforcement investigational practices or prosecutor charging decisions.
Part 4 (Study 4: Police Reports Quantitative Data) examined police reports written before and after the implementation of the SANE program to determine whether there had been substantive changes in ways sexual assaults cases were investigated since the emergence of the SANE program. Variables include whether the police had referred the case to the prosecutor, indicators of SANE involvement, and indicators of law enforcement effort.
Part 5 (Study 5: Survivor Interview Qualitative Data) focused on understanding how victims characterized the care they received at the focal SANE program as well as their expriences with the criminal justices system. Using prospective sampling and community-based retrospective purposive sampling, twenty adult sexual assault vicitims were identified and interviewed between January 2006 and May 2007. Interviews covered four topics: (1) the rape itself and initial disclosures, (2) victims' experiences with SANE program staff including nurses and victim support advocates, (3) the specific role forensic evidence played in victims' decisions to participate in prosecution, and (4) victims' experiences with law enforcement, prosecutors, and judicial proceedings, and if/how the forensic nurses and advocates influenced those interactions.
Part 6 (Study 6: Forensic Nurse Interview Qualitative Data) examined forensic nurses' perspectives on how the SANE program could affect survivor participation with prosecution indirectly and how the interactions between SANEs and law enforcement could be contributing to increased investigational effort. Between July and August of 2008, six Sexual Assault Nurse Examiners (SANEs) were interviewed. The interviews explored three topics: (1) the nurses' philosophy on victim reporting and participating in prosecution, (2) their perceptions regarding how patient care may or may not affect victim participation in the criminal justice system, and (3) their perception of how the SANE programs influence the work of law enforcement investigational practices.The interviews explored three topics: (1) the nurses' philosophy on victim reporting and participating in prosecution, (2) their perceptions regarding how patient care may or may not affect victim participation in the criminal justice system, and (3) their perception of how the SANE programs influence the work of law enforcement investigational practices.
United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems Series, Waves 1-10, 1970-2006 (ICPSR 26462)
United Nations World Crime Surveys: Fourth Survey, 1986-1990 (ICPSR 6945)
United Nations World Surveys on Crime Trends and Criminal Justice Systems, 1970-1994: Restructured Five-Wave Data (ICPSR 2513)
Use of Force by the Montgomery County, Maryland Police Department, 1993-1999 (ICPSR 3793)
Using Public Health Databases to Analyze Legal Intervention Shootings, United States, 2006-2017 (ICPSR 37339)
Using Sentiment Analysis and Topic Modeling in Assessing the Impact of Police "Signaling" on Investigative and Prosecutorial Outcomes in Sexual Assault Reports, Cleveland, Ohio, 1993-2011 (ICPSR 38644)
The Cuyahoga County (Ohio, USA) Sexual Assault Kit (SAK) Initiative, led by the Cuyahoga County Prosecutor's Office, was launched in 2013 to test and follow up on previously untested sexual assault/rape kits that were collected as evidence from sexual assault victims. Rape reports typically include an incident report taken by the responding officer(s) who is tasked with gathering pertinent facts and evidence and then forwarding the report to an investigator (detective) for follow-up, as well as a summary of the investigative activity on the case as noted by the investigator, which can include the decision of the assigned prosecutor to file or not file charges.
Signaling is defined as information conveyed by responding officers in the narratives of police reports regarding a victim's creditability and rape-myth adherence. The goal was to better understand if and how responding officers' written reports in sexual assault cases impact investigating officers' decision-making and how cases proceed (or fail to proceed) in the criminal justice process. The objective of the study was to explore the first step in the investigative process to elucidate facilitators and barriers to sexual assault cases reaching a successful disposition.
The research team employed text mining and machine learning methods using natural language processing and advanced statistical analyses to evaluate the narratives of 5,638 police reports of sexual assaults where victims had sexual assault kits collected in Cuyahoga County over the span of nearly two decades (primarily 1993 through 2011). These reports were analyzed using topic modeling and sentiment analysis. The team addressed three research questions:
- To what extent did "sentiments" in the responding officers' narratives reveal positive or negative signaling of victims' credibility?
- To what extent were the "topics" and sentiments in the responding officers' narratives different in cases with increased investigative activity compared to those with less?
- To what extent were both the topics and sentiments in the responding officers' narratives different for cases that were successfully investigated and prosecuted compared to those that were not?
This collection includes a quantitative dataset (DS1) and a qualitative dataset (DS2). The report-level quantitative dataset contains calculated sentiment scores, categorical variables describing the incident and outcome, and demographic variables of the victim(s) and suspect(s) for all reports analyzed (n=5,639). The full text for all reports is available in a CSV file that can be merged with the main data file. The qualitative data is a subset of reports from the main dataset (n=18) with high, medium, and low sentiment scores that were manually coded by the research team.