Hate Crime Investigations and Offender Profiles: A National Survey of U.S. Law Enforcement Agencies, United States, 2018 (ICPSR 38262)
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.
Impacts of Social Proximity to Bias Crime Among Compact of Free Association (COFA)-Migrants in Hawaii, 2017-2018 (ICPSR 37330)
This study utilized respondent-driven sampling (RDS) among Compact of Free Association (COFA)-migrants in Hawaii to explore the harms of bias crimes on migrant communities. To examine the impacts of bias crimes on communities, the investigators examined the diffusion of negative psychological impacts, community impacts, and perceptions of safety for those who had been direct victims, those in the COFA-migrant community who are close to someone who has been a victim (proximal victim) but are not direct victims, and those who are members of the community but have not been a direct victim or know someone close to them who was a direct victim.
This study also examined the how negative impacts of bias crime ultimately impact the adaption of COFA-migrants who have immigrated in the attempt to build new lives in Hawaii.
A Pathway Approach to the Study of Bias Crime Offenders, United States, 1990-2018 (ICPSR 38157)
This project sought to improve understanding of the characteristics of bias crime in the United States by collecting and analyzing data on a national sample of offenders. The database - The Bias Incidents and Actors Study (BIAS) - includes information on 966 adult offenders who committed hate crimes in the United States from 1990-2018. BIAS includes offenders who committed crimes that were motivated by bias based on (1) race, ethnicity, or ancestry; (2) religion; (3) sexual orientation, gender, or gender identity; (4) disability; and (5) age. BIAS includes more than 100 variable fields that cover all aspects of an offender's background, including their demographic characteristics, family dynamics, education and employment histories, mental health concerns, criminal records, peer associations, and hate group affiliations. BIAS also include details on the nature of the offender's crime, such as whether it was violent or non-violent, spontaneous or premeditated, or was perpetrated alone, with a group, or while under the influence of drugs and alcohol.
Prejudice and Violence in the American Workplace, 1988-1991: Survey of an Eastern Corporation (ICPSR 6135)
Understanding and Measuring Bias Victimization Against Latinos, San Diego, CA, Galveston, TX, Houston, TX, Boston, MA, 2018-2019 (ICPSR 37598)
This study surveyed immigrant and non-immigrant populations residing in high Latino population communities in order to:
- Assess the nature and pattern of bias motivated victimization.
- Explore the co-occurrence of bias motivated victimization with other forms of victimization.
- Measure reporting and help-seeking behaviors of individuals who experience bias motivated victimization.
- Identify cultural factors which may contribute to the risk of bias victimization.
- Evaluate the effect of bias victimization on negative psychosocial outcomes relative to other forms of victimization.
The study's sample was a community sample of 910 respondents which included male and female Latino adults across three metropolitan areas within the conterminous United States. These respondents completed the survey in one of two ways. One set of respondents completed the survey on a tablet with the help of the research team, while the other group self-administered the survey on their own mobile device. The method used to complete the survey was randomly selected. A third option (paper and pencil with an administrator) was initially included but was removed early in the survey's deployment. The survey was administered from May 2018 to March 2019 in the respondent's preferred language (English or Spanish).
This collection contains 1,620 variables, and includes derived variables for several scales used in the questionnaire. Bias victimization measures considered both hate crimes (e.g. physical assault) and non-criminal bias events (e.g. racial slurs) and allowed the respondent to report multiple incidents, perpetrators, and types of bias victimization. The respondents were asked about their help-seeking and reporting behaviors for the experience of bias victimization they considered to be the most severe and the measures considered both formal (e.g. contacting the police) and informal (e.g. communicating with family) help-seeking behaviors. The victimization scale measured exposure to traumatic events (e.g. witnessing a murder) as well as experiences of victimization (e.g. physical assault). Acculturation and enculturation scales measured topics such as the respondent's use of Spanish and English and their consumption of media in both languages. The variables pertaining to acculturative stress considered factors such as feelings of social isolation, experiences of racism, and conflict with family members. The variables for mental health outcomes measured symptoms of anger, anxiety, depression, and disassociation.