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Hate Crime Investigations and Offender Profiles: A National Survey of U.S. Law Enforcement Agencies, United States, 2018 (ICPSR 38262)

Released/updated on: 2024-12-10
Geographic coverage: United States
Time period: 2018-01-01--2018-12-31

The National Hate Crime Investigation Study (NHCIS) collected detailed data on hate crime investigations from law enforcement agencies (LEAs) across the United States. A nationally representative sample of 2,488 local, county, and state LEAs, stratified by agency type and size, were surveyed about agency-level characteristics and hate crime incidents investigated by their agency between January 1, 2018 and December 31, 2018.

Agency-level surveys collected information about the size of the population the agency serves, the number of full-time sworn officers, total number of hate crime cases reported, National Incident-Based Reporting System (NIBRS) participation, hate crime investigation policies and procedures, and whether the agency has conducted outreach to community or local advocacy groups on hate crimes. Case-level surveys and case report data abstraction then captured extensive data about 1,230 hate crime incidents, including crime scene details, investigative strategies, arrests, charges, and court outcomes.

Suspect and victim demographic information in the Case Data file includes sex, gender identity, age, race/ethnicity, religious affiliation, sexual orientation, disability status, and immigration status.

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Police Arrest Decisions in Intimate Partner Violence Cases in the United States, 2000 and 2003 (ICPSR 31333)

Released/updated on: 2011-05-26
Geographic coverage: United States
The purpose of the study was to better understand the factors associated with police decisions to make an arrest or not in cases of heterosexual partner violence and how these decisions vary across jurisdictions. The study utilized data from three large national datasets: the National Incident-Based Reporting System (NIBRS) for the year 2003, the Law Enforcement Management and Administrative Statistics (LEMAS) for the years 2000 and 2003, and the United States Department of Health and Human Services Area Resource File (ARF) for the year 2003. Researchers also developed a database of domestic violence state arrest laws including arrest type (mandatory, discretionary, or preferred) and primary aggressor statutes. Next, the research team merged these four databases into one, with incident being the unit of analysis. As a further step, the research team conducted spatial analysis to examine the impact of spatial autocorrelation in arrest decisions by police organizations on the results of statistical analyses. The dependent variable for this study was arrest outcome, defined as no arrest, single male arrest, single female arrest, and dual arrest for an act of violence against an intimate partner. The primary independent variables were divided into three categories: incident factors, police organizational factors, and community factors.
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Project SOARS: Student Ownership, Accountability, and Responsibility for School Safety, Illinois and Oregon, 2016-2020 (ICPSR 37896)

Released/updated on: 2024-01-16
Geographic coverage: Oregon, United States, Illinois
Time period: 2018-01-01--2019-01-01, 2019-01-01--2020-01-01

Project SOARS (Student Ownership, Accountability, and Responsibility for School Safety) utilized a mixed-methods study design to develop and test a student-centered and technology-driven school safety framework to address peer victimization, violent behavior, and student reluctance to share critical safety information within high school settings. SOARS was a project of IRIS Media, Inc. and consisted of 4 phases implemented between 2016 and 2020. Activities for each phase were carried out in Oregon and Illinois high schools in order to facilitate inter-site replication of outcomes. Phase 1 was conducted in 2016 and consisted of focus groups and key informant interviews with students, school personnel, and parents to gather perceptions of current school safety practices. Phase 2 was undertaken in 2017 and asked students, school personnel, and parents to assess the acceptability and usability of prototypes of the SOARS framework. The SOARS framework consisted of (a) the Advocatr mobile app, which allowed students to report positive and negative behaviors in their school environment; (b) a 9-week curriculum engaging students with the concepts of student ownership of school safety, advocacy/self-advocacy, physical and emotional safety, and restorative conflict resolution; (c) informational briefs for school personnel and parents about the framework components and their rationale; and (d) guidelines for a student-led school-wide safety campaign. Phase 3 was rolled out in 2018 and 2019 and consisted of feasibility testing conducted with a small subset of teachers and students in those teachers' classrooms. Participants were surveyed before and after implementation of the SOARS framework. The focus of the feasibility test was on student access and use of the Advocatr app and the accompanying curriculum. During Phase 4 implementation in 2019 and 2020, researchers conducted a pilot test with students, school personnel, and parents from 4 high schools, 2 assigned to the intervention and 2 to the control condition. The focus of the pilot was to test the effectiveness of the SOARS framework.

Demographic information was collected from all informants and includes gender (sex male or female; transgender identification), ethnicity, and race. Additional demographic information about students includes sexual orientation, approximate age (over/under 18 years), primary language, GPA, and grade. Parent demographics also include education level and student's grade, while school personnel (teachers and staff) also provided information regarding education level, school role, job title, years in current position, grades taught, and subjects taught.

Users should note that qualitative data collected during phase 1 focus groups and phase 2 user acceptance tests are not included in version 1 of the ICPSR release. Additionally, in the quantitative datasets, character variables featuring open-ended string responses have been masked by ICPSR. This study will be updated at a later date to include qualitative data files and character variables in the quantitative datasets.