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The Arizona Working and Living in Prison (AZWLP) project examined the impact of living and working in restrictive status housing, with a particular focus on the impact of restrictive housing on prisoner and staff well-being. The prisoner data represents three waves of data: baseline (within 3 weeks of placement in permanent housing), six months, and twelve months across medium, close, and maximum security custody levels. The critical measure of well-being is the Symptom Checklist-90 Revised (SCL-90-R). Prisoners were assessed at all three time points to determine whether placement in maximum custody impacted well-being as compared to placements in close or medium custody.

The staff data represents cross-sectional data of staff working in medium, close, and maximum security custody levels and asked staff to report on the emotional and physical impacts of the job, psychosomatic symptoms, organizational commitment, and social support.

With the creation of the first drug court in Miami-Dade County, Florida in 1989, problem-solving courts emerged as an innovative effort to close the revolving door of recidivism. Designed to target the social and psychological problems underlying certain types of criminal behavior, the problem-solving model boasts a community-based, therapeutic approach. As a result of the anecdotal successes of early drug courts, states expanded the problem-solving court model by developing specialized courts or court dockets to address a number of social problems. Although the number and types of problem-solving courts has been expanding, the formal research and statistical information regarding the operations and models of these programs has not grown at the same rate. Multiple organizations have started mapping the variety of problem-solving courts in the county; however, a national catalogue of problem-solving court infrastructure is lacking. As evidence of this, different counts of problem-solving courts have been offered by different groups, and a likely part of the discrepancy lies in disagreements about how to define and identify a problem-solving court. What is known about problem-solving courts is therefore limited to evaluation or outcome analyses of specific court programs.

In 2010, the Bureau of Justice Statistics awarded the National Center for State Courts a grant to develop accurate and reliable national statistics regarding problem-solving court operations, staffing, and participant characteristics. The NCSC, with assistance from the National Drug Court Institute (NDCI), produced the resulting Census of Problem-Solving Courts which captures information on over 3,000 problem-solving courts that were operational in 2012.

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 was designed to provide a mixed methods comparative evaluation of three established court-based programs that serve offenders with serious mental illness (SMI). These programs were selected in response to criticism of similar research for studying young programs that are still in development, employing short follow up periods that are unable to indicate sustained effectiveness, and utilizing less than ideal comparison conditions. The study was conducted in Cook County, Illinois, and data were collected from three distinct court-based programs: the Cook County Felony Mental Health Court (MHC) which serves individuals with SMI who have been arrested for nonviolent felonies, the Specialized Mental Health Probation Unit which involves specially trained probation officers who supervise a reduced caseload of probationers diagnosed with SMI, and the Cook County Adult Probation Department which has an active caseload of approximately 25,000 probationers, a portion of whom have SMI. Probation officer interviews were coded for themes regarding beliefs about the relationship between mental illness and crime, views on the purpose of their program, and approaches used with probationers with SMI. The coding of probationer interviews focused on experiences related to having SMI and being on probation, including: the extent to which probation was involved with mental health treatment; development of awareness of mental health issues; evaluations of the programs based on subjective experiences; and the relationship dynamics between probationers and staff.

The collection includes 3 Stata data files: DRI-R_data_for_NACJD_041315.dta with 98 cases and 61 variables, Epperson_NIJ_Quantitative_Data_for_NACJD_041315.dta with 25203 cases and 49 variables, and incarceration_data_061515.dta with 676 cases and 4 variables. The qualitative data are not available as part of this data collection at this time.

Dating It Safe is a longitudinal cohort study of 1,042 youth in southeast Texas. Primarily freshmen high school students were recruited and assessed in the spring of 2010. Follow-up waves were collected annually each spring from 2011 through 2017 (Waves 2-8). The primary aims of this research study were to examine the:

• longitudinal association between the three different forms of teen dating violence (TDV; i.e., physical violence, psychological abuse, and sexual aggression), and
• risk and protective factors of TDV perpetration and victimization.

The Students, Teachers, and Officers Preventing (STOP) School Violence Act was enacted in 2018 to improve school safety by providing grants to states, local governments, and Indian tribes in the United States. Under this legislation, the Bureau of Justice Administration (BJA) was allocated $50 million per year to dedicate to grants for mental health and violence prevention training and education for school personnel and students, as well as the development or enhancement of threat assessment systems and crisis response teams. In the first two years, 2018 and 2019, 43 and 85 grantees were awarded funding for STOP programs, respectively. In 2020, the National Institute of Justice (NIJ) awarded funding to researchers to study the implementation of the first STOP programs. A cross-disciplinary team of researchers from the University of South Florida Child and Family Studies Department and the College of Education received an NIJ grant to study the STOP programs from the first two years of the grant program.

The research questions guiding this study were:

1. How have diverse stakeholders (e.g., school administrators, school-based and community mental health professionals, teachers, student and families, law enforcement/SROs, policymakers) been involved in the various stages of implementation?
2. How have violence prevention and mental health training programs reflected community needs?
3. What are the perceived barriers and facilitators to implementing violence prevention and mental health training programs across grantee sites?
4. How do various components of the implementation process contribute to satisfaction with implementation at different stages among stakeholders?
5. What measures are in place to evaluate and inform continuous implementation processes, and where do opportunities and needs exist for incorporating feedback to strengthen overall implementation?

This mixed-methods study included a cross-site survey and a case study analysis. The cross-site survey was sent to representatives from 128 grantee U.S. agencies who were involved in implementing programs or training from STOP grants (final n=90 respondents). Questions in the survey asked about implementation factors, barriers and facilitators to implementation, the capacity of schools at each site to address mental health, satisfaction of the implementation process, and how COVID-19 has impacted the implementation of STOP programs. There was also an opportunity to share open feedback. This survey was administered in July 2021 and in July 2022. The case study was an in-depth analysis of a smaller sample of grantee agencies. The researchers conducted stakeholder interviews, meeting observations, and document review to gain insights on participant experiences with implementation of STOP programs and what social, political, and cultural factors may have affected implementation.

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. The DYS is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high official crime rates (top one-third) were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.

The survey respondents include 807 boys and 721 girls and include White (10 percent), Latino (45 percent), and African American (33 percent) youth, as well as 12 percent from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992, and annually from 1995 until 1999. The age range covered by the study is from age 7 through age 26.

The dataset contains 1,528 cases and 22,081 variables.

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. It is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. DYS variables also address family demographics, neighborhood characteristics, parenting, and involvement in social roles.

The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high (top one-third) official crime rates were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.

The survey respondents include 807 boys and 721 girls and include White (10%), Latino (45%), and African American (33%) youth, as well as 12% from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992 (waves 1-5), annually from 1995 until 1999 (waves 6-10), and in 2003 (wave 11). The study covers an age range of 7 through 26.

Research tools available to help advance knowledge of effective community-based elder mistreatment (EM) interventions are limited. The field lacks an understanding of what success means in EM response program (EMRP) interventions, which work directly with victims to reduce the risk of re-victimization. Without establishing indicators of EMRP success, it is not possible to develop valid intervention outcome measures to compare different EMRP models toward the development of evidence-based practice. Informed by the EMRP practice principle of older adult self-determination, this study developed a victim-centric taxonomy of case outcomes that indicate EMRP success.

This study drew on two sources of data, including interviews with EM victims and a scoping review to inform taxonomy development. Prioritizing the perspective of victims, this study conducted interviews with 27 victims involved in EMRP services who vary in EM subtype, gender, and race/ethnicity.

The taxonomy of successful EMRP outcomes will serve as important research infrastructure to support the development of EMRP intervention outcome measurement in future research.

The goal of the project was to improve police officers' sleep, health, safety, and wellness, thus improving the quality of police services. Using a multi-phase, mixed method approach, the core objectives included:

1. Measure the effects of work schedules and sleep loss on Seattle Police Department (SPD) officer health, wellness, safety, and quality of life.

2. Develop a fatigue risk management strategy, informed by the data collected during objective one.

3. Using a randomized control trial design, implement the resulting fatigue risk management strategy across the SPD, which is a large municipal police department (approximately 1,500 sworn officers)

4. Measure the effectiveness of the fatigue risk management strategy.

The main research questions the study sought to address were as follows:

1. What are the effects of shift work, work hours, sleep loss, and fatigue on police officers' safety, health, and quality of life?

2. Can a fatigue risk management strategy influence these effects?

Variables include measures of officers' sleep patterns and sleep quality, physical and mental health metrics, descriptions of the officers' role at the SPD, and demographic variables including age, gender, and race/ethnicity.

This study collection was formed from two distinct data collection periods and respondent samples to test and validate a newly formed measure regarding adolescent dating abuse (ADA). The new measure named MARSHA (Measure of Adolescent Relationship Harassment and Abuse) reflects ADA from the both the perspectives of victim and perpetrator through the use of 39 pairs of questions on the topics of physical, sexual, emotional, and cyber abuse. The hope for this study was to allow researchers, clinicians, and practitioners, in a wide variety of settings and for multiple purposes, ability to assess the prevalence of ADA in a nation, state or neighborhood; conducting etiological research on ADA; evaluating ADA prevention programs; or screening youth for ADA in clinical or criminal justice settings.

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.

Teenage adolescent females residing in Baltimore, Maryland who were involved in a relationship with a history of violence were sought after to participate in this research study. Respondents were interviewed and then followed through daily diary entries for several months. The aim of the research was to understand the context regarding teen dating violence (TDV). Prior research on relationship context has not focused on minority populations; therefore, the focus of this project was urban, predominantly African American females.

The available data in this collection includes three SAS (.sas7bdat) files and a single SAS formats file that contains variable and value label information for all three data files. The three data files are:

• final_baseline.sas7bdat (157 cases / 252 variables)
• final_partnergrid.sas7bdat (156 cases / 76 variables)
• hart_final_sas7bdata (7004 cases / 23 variables)

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 examines the prevalence and correlates of psychological abuse and physical abuse against women and men aged 70 or older. Self-report data from 2,185 respondents in the 2010 National Intimate Partner and Sexual Violence Survey (NISVS) were used to create weighted estimates for past-year experiences of abuse. Correlates were then examined using survey logistic regression models.

The 2018 Atlanta Youth Count (AYC18), a follow-up to the 2015 Atlanta Youth Count and Needs Assessment (AYCNA), was expanded in 2018 to specifically address sex and labor trafficking among youth experiencing homelessness in metro Atlanta. This project was designed to provide impact on court, law enforcement, and victim service practices at the jurisdictional level in Georgia, and beyond.

Homeless youth in metro Atlanta and surrounding counties were contacted through outreach efforts at youth shelters, motels, and street locations where homeless youth tend to congregate. Data collection focused on basic demographic information, history of homelessness, health, sexual experiences, and social supports.

With the third highest rates of overdose fatalities in the state and complexities with providing treatment in a rural setting, Franklin County Sheriff's Office (FCSO) in Massachusetts made a strategic decision in 2011 to shift their jail facility away from simply operating as a place to contain people, to becoming a jail that played an important role in the treatment solution to the opioid use epidemic. After more than 10 years of this transformation, FCSO has been able to offer all three federally approved Medications for Opioid Use Disorders (MOUD) (i.e., buprenorphine, methadone, and naltrexone), provide high quality individual and group counseling, and facilitate a continuum of treatment care upon reentry. In 2020, at the height of the COVID-19 pandemic, FCSO capitalized on its previously built infrastructure and system partners to continue to offer its services. FCSO also continued offering individual and group counseling via telehealth throughout the pandemic and shifted to a mix of telehealth and in-person services in 2022.

From 2020 to 2023, the research team partnered with FCSO to study how their jail approached MOUD treatment, particularly via telehealth during the COVID-19 pandemic. The mixed-methods study aimed to understand whether treatment and individual counseling as its critical component could be done remotely, what facilitated or hindered its successful application, and how clients (i.e., incarcerated people) and the professionals supporting them perceived the effects.

The study developed and tested the Brief Mental Health Screening Tool to enhance the identification of psychiatric disorders among adult detainees. Participants were randomly recruited within 24 to 72 hours of entering State-run jails in Connecticut. In the first phase, participants completed a 25-minute screening interview, after which 20 percent of the participants were asked to complete a longer interview 1 week later to establish a more detailed account of Axis I and Axis II psychiatric disorders and psychosocial functioning. In a second phase, the new Brief Mental Health Screening Tool was tested and validated on a new sample of participants.

This study sought to better understand the long-term implications of critical incident exposure on mental health outcomes among correctional officers. To accomplish this objective, the research team compiled a longitudinal dataset comprised of three types of assessments. First, to assess mental health outcomes as well as subjective appraisals of psychological stress, the researchers surveyed correctional officers at three waves of data collection, spaced approximately six months apart. These surveys included questions related to demographics, work assignments, perceptions of workplace danger, work-family conflict, social support, and work-related psychological stress. In addition, the wave 1 and wave 3 surveys included items from psychometrically validated measures of mental health problems--posttraumatic stress disorder (PTSD), depression, and anxiety. Second, to assess changes in physiological stress over the study period, the research team collected salivary biomarkers Cortisol and Alpha-Amylase during each wave of data collection. Third, the researchers compiled objective indicators of critical incident exposure (e.g. disciplinary data and detailed incident reports) rather than relying on subjective assessments. The compiled dataset allowed for not only the direct association between critical incident exposure and mental health problems, but also indirect pathways that included psychological stress and physiological stress. The resulting dataset consists of 488 officers employed at three correctional institutions across Minnesota.

The overall purpose of this mixed methods, multi-site study was to explore the use of restrictive housing in United States prisons and jails from the perspective of incarcerated individuals and corrections officers who work in restrictive housing units. Restrictive housing, also known as solitary confinement or segregation, is defined as keeping an incarcerated person in their cell for 22 or more hours per day.

To study the extent to which exposure to restrictive housing affects outcomes (i.e., mental/physical health problems, deterrence from future misconduct) for incarcerated individuals, the research team collected administrative records of housing moves ("stints") from the Colorado Department of Corrections and Missouri Department of Corrections. Records are available for all individuals incarcerated between January 1, 2015 and December 31, 2017. Data from Colorado includes roughly 1.3 million observations from 39,849 incarcerations. Data from Missouri includes roughly 1.1 million observations from 79,208 incarcerations. To study the impact of working in restrictive housing units on officers' physical, emotional, and mental wellbeing, the team administered surveys to officers working in correctional facilities in Missouri (n=376), North Carolina (n=249), and Oregon (site 1 n=47, site 2 n=133).

The research team also conducted officer focus groups, interviews with agency leadership, observations of restrictive housing and general population units, and a national comprehensive survey about the use of restrictive housing in jails. Only the administrative records and officer wellbeing survey data are available in this collection.

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.

A researcher-practitioner partnership was established between the College of Criminology and Criminal Justice at Florida State University and the Florida Department of Juvenile Justice (FDJJ). The purpose of this partnership was to collaborate on three timely and policy relevant research projects--(1) juvenile civil citation (JCC), (2) juvenile visitation (JV), and (3) juvenile school-based arrests (JSBA).

This collection includes 9 Stata data files: "JV-Full-Data-Set" with 78 vars, 1,202 cases, "JCC-County-Data" with 18 vars, 938 cases, "JCC-Individual-Data" with 22 vars, 110,088 cases, "JCC-Individual-Data-with-Risk-Factors" with 35 vars, 51,263 cases, "JCC-Trend-Data" with 6 vars, 11,725 cases, "JSBA-Descriptives-Data" with 14 vars, 94,708 cases, "JSBA-Dropout-Data" with 4 vars, 94,708 cases, "JSBA-Recidivism-Data" with 51 vars, 30,723 cases, "JSBA-School-level-Data" with 45 vars, 893 cases, and 9 Stata syntax files "JV-Full-Data-Set-Syntax.do", "JCC-County-Data.do", "JCC-Individual-Data.do", "JCC-Individual-Data-with-Risk-Factors.do", "JCC-Trend-Data.do", "JSBA-Descriptives-Code.do", "JSBA-Dropout-Code.do", "JSBA-Recidivism-Code.do", and "JSBA-School-level-Code".

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 sought to: (1) document the spectrum of injuries and injury characteristics observed among physically-abused older adults reported to Adult Protective Services (APS) and compare those findings to injuries found among non-abused older adults, (2) identify observable injury characteristics and abuse circumstances that healthcare providers, law enforcement and prosecutors consider to be key forensic markers of physical abuse, (3) document information and evidence integral for achieving successful criminal prosecution, and (4) describe approaches that community-based frontline workers can employ to better document evidence of physical abuse.

The data included in this collection were collected under a National Institute of Justice-funded project that sought to document the spectrum and characteristics of injuries observed among physically abused, community-dwelling APS clients.

The collection includes two SAS datasets: injury.sas7bdat (with 47 variables and 403 cases) and subjectleveldata.sas7bdat (with 122 variables and 165 cases); and three SAS System Program Files: analysis-code-v1.sas, cleaned-injury-datasets-v1.sas, and formats.sas. Demographic variables in the collection are in the subjectleveldata.sas7bdat dataset, and include age, year of birth, gender, race, language, and level of education.

This initial Phase 1 formative evaluation included the development of a logic model to guide telehealth programming, an evaluability assessment of existing telehealth services, and a pilot test of initial implementation to capture the components needed for future fidelity assessment of these telehealth services as part of a multi-phase evaluation. The telemental health programming was focused on a hybrid approach of service delivery by El Futuro, a community-based organization in Durham, North Carolina. El Futuro's hybrid model of telemental health services combines methods of telehealth and in-person treatment with an array of service components including psychotherapy, psychiatric services, and case management for individuals who were victims of crime (VOCs) seeking mental health services.

Data associated with this project contain information about telehealth sites, client gender, psychiatric diagnoses, session types for the hybrid model, reported traumas for the overall sample used in the evaluability, and feasibility portion of the formative evaluation. The collection also includes outcome information for a subset of participants, such as client reported improvement and satisfaction.

This study offers novel insights into mechanisms associated with sexual assault (SA) among sexual minority women (SMW). Experiences of bias and stigma contribute to lower rates of SA reporting by this population. This results in victims with unmet needs and fewer criminal prosecutions of SA perpetrators. This study used a mixed-methods approach to collect data from lesbian, bisexual, and heterosexual women to instigate changes that would improve responses from law enforcement, victim services, and anti-violence programs that serve SMW.

This study comprised of three parts a: baseline survey, qualitative interview, and daily survey. Self-reported baseline questionnaires included topics like lifetime victimization (childhood sexual abuse, adult sexual aggression, and assault), discrimination, distress, mental health, alcohol use, and sexual history. The qualitative interviews focused on the most recent, and when applicable, the most salient adult sexual assault (ASA) incident. Interviews began by asking the participants to describe their ASA incidents with follow-probes asking about the victimization, perpetrator characteristics (gender and relationship to participant), and context of assault (role of alcohol or drugs and setting). Participants were also asked if they discussed the assault with anyone and their reasons for disclosure or non-disclosure. As well as short and long-term coping patterns. The daily survey asked participants about their mood, alcohol use, drinking contexts, and sexual experiences (consensual and non-consensual).

This study contains demographic information such as: age, race, income, education, and BMI.

Initially funded in 2013 by the National Institute of Justice, the primary purpose of this project was to conduct a randomized-control test of the impact of a victim-focused, forensic collaborative relative to usual care (UC) on older adult victims' health, mental health, and criminal justice outcomes. During the course of the project, researchers responded to enrollment and consent challenges by implementing Arm 2 that focused on collecting caseworker and victim advocate perceptions of cases as well as administrative data from Adult Protective Services (APS).

This collection contains 6 datasets:

• Arm 1 (DS1) contains survey results from victim-focused interviews of 40 older adults who were reported to be victims of abuse, neglect, and/or financial exploitation over 4 time points. Variables describe victim and case characteristics, service use/needs, risk factors for abuse, consequences of abuse and exploitation, and criminal justice process and outcomes.
• Arm 2 (DS2) includes a survey of APS caseworkers reporting on a case of older adult abuse, such as client (older adult victim) and perpetrator demographics, mistreatment details (verbal abuse, physical abuse, sexual abuse, neglect, financial exploitation, and/or housing exploitation), and service use.
• Collateral assessments (DS3) surveyed a trusted individual related to the older adult respondent in Arm 1. This included data on the perceptions of the older adult's functioning and use of services; and the quality of decision-making procedures, desired treatment, and outcomes in the criminal justice system. Of the 40 Arm 1 participants interviewed, 33 gave collateral contact information. Of those 33, 16 could not be reached, one failed the consent quiz, and two declined to participate. Of the 14 who participated in an initial interview, only three participated at the follow-up nine months later.
• Revictimization and Prosecutorial Outcome Data (DS5) includes information on new incidents reported to law enforcement over the nine months following the original incident report and prosecution outcomes, gathered from publicly-accessible police reports and court information for Arm 1 and Arm 2 cases.
• APS administrative data (DS6), such as the demographics of the older adult victim and the primary perpetrator, assessment scores for risk and safety, the alleged mistreatment type, whether mistreatment was substantiated, and APS case status. The data included overall risk/safety scores and summary scores for the domains of physical functioning, environmental context, financial resources, mental health, cognition, medical issues, and mistreatment.

Arm 1 demographic variables includes age, gender, education, employment status, marital status, household size, ethnic minority, and income source. Arm 2 surveys reported ethnicity, gender, age, education, marital status, and employment status; APS data reported age and gender.

The project involved a partnership between the research team at Northeastern University, the Office of Strategic Planning and Research at the Massachusetts Department of Correction (MA DOC), the Massachusetts Correction Officers Federated Union (MCOFU) and clinical direct service providers at the Riverside Trauma Center (RTC), a program of Riverside Community Care (RCC).

The research was conducted in two overlapping phases, with findings from the first phase informing key elements of the second phase. In phase one, the Northeastern University research team conducted comprehensive qualitative case studies of the occupational and personal lives of the 20 correction officers and retirees who had died by suicide between 2010 and 2015.

In phase two, researchers collected both qualitative and quantitative data to assess the impacts of the correction officer suicides on correction officers still working in the state's prisons. Researchers conducted on-site and on-shift in-person interviews with 440 officers and administrators to assess the impacts of officer suicide on attitudinal, behavioral, and psychological well-being outcomes. The phase two officer interview opened with questions designed to collect egocentric social network data from each officer and included assessments of behavioral, emotional, and psychological health using validated instruments.

Researchers collected qualitative data for this study which are not currently available. The qualitative data will be made available at a later date.

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 project utilized three strategies to investigate the impact of incarceration on families. First, a statewide integrated data system was used to examine impacts of incarceration in a novel way, using administrative data from corrections, juvenile justice, mental health, social services, substance use services, healthcare, and education. Second, researchers linked multi-agency data to address specific research questions regarding impact of incarceration on families, including impact of incarceration on family physical and mental health, children's involvement with the child welfare and juvenile justice systems, family economic status, and school performance. Third, researchers conducted focus groups and family interviews with 77 inmates and 21 inmate family members sampled from three correctional facilities. Researchers identified qualitative themes regarding impact of incarceration in the lives of inmates and their families.

Only data from the focus groups is included in this collection. The collection includes two SPSS data files: "Inmate_Demographic_Data.sav" with 15 variables and 77 cases and "Family_Demographic_Data.sav" with 19 variables and 21 cases. The actual focus group interviews with inmates and their family members are not available as part of this collection at this time. Administrative data from the South Carolina Revenue and Fiscal Affairs Office was not made available for archiving. Users interested in obtaining these data should consult the accompanying documentation.

The first goal of this study was to identify the incidence of partner violence among Temporary Assistance for Needy Families (TANF) recipients over a three-year period. The second goal of this study was to examine the impact of partner violence on women's labor force participation over time. A final goal of this research was to explore the short and longer-term consequences of victimization on women's employment and economic well-being, as well as their physical and mental health.

This study used the first three years of data from the Illinois Families Study (IFS). The first of the annual surveys was administered between November 1999 and September 2000, the second between February 2001 and September 2001, and the third between February 2002 and September 2002.

The three data files contain very similar information including such items as a household roster, housing and neighborhood characteristics, employment, literacy and skills, parenting, and children. There is also information related to the respondent's history, health, self-efficacy, life events, experiences with domestic violence, civic participation and social support, income resources, and experiences with welfare.

The Part 1 (Wave 1 Data) data file contains 1,323 cases and 942 variables. The Part 2 (Wave 2 Data) data file contains 1,183 cases and 763 variables. The Part 3 (Wave 3 Data) data file contains 1,072 cases and 778 variables.

Additional information about the Illinois Families Study (IFS) is available on the IFS Web site.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.

The major aim of this study was to test the hypothesis that legal representation of the Intimate Partner Violence (IPV) victim in child custody decisions leads to greater legal protections being awarded in these decisions compared to similar cases of unrepresented IPV victims. A retrospective cohort study was conducted among King County couples with minor children filing for marriage dissolution in King County, Washington between January 1, 2000 and December 31, 2010 who had a history of police or court documented intimate partner violence (IPV). The study examined the separate effects of private legal representation and legal aid representation relative to propensity score-matched, unrepresented comparison subjects. Primary study outcomes were measured at the time the first "Final Parenting Plan" was awarded. Researchers also examined the two-year period post-decree among the subset of cases with filing between January 1, 2000 and December 31, 2009 for post-decree court proceedings indicative of continued child custody or visitation disputes.

This mixed-methods randomized controlled trial study, conducted in collaboration with three Dane County (Wisconsin) law enforcement agencies, compared the effects of an 8-week mindfulness training (MT) program relative to a waitlist control (WLC) group on biological, behavioral, and self-report measures of stress and stress-related health outcomes. Across a two-year data collection period, the research team randomly assigned 114 sworn law enforcement officers to MT or WLC groups. Across three timepoints (baseline, post-program, and 3-month follow-up), researchers assessed the impact of MT on perceived stress (Aim 1), physical and mental health outcomes including behaviorally assessed and self-reported sleep quality, cardiovascular risk factors, and symptoms of PTSD, anxiety, and depression (Aim 2), and stress-related biological and behavioral markers (Aim 3), including cortisol output and a behavioral assay of hippocampus function. Data collected as part of this study include quantitative measures obtained during laboratory visits and a week of field data collection, as well as optional semi-structured qualitative interview data.

This collection currently contains the following file types available in zipped package format. Excluding changes made for confidentiality purposes, files have been released as they were received by ICPSR:

• Summary data: Master data file (nij_masterfile.csv) containing demographics, summed scores from self-report questionnaires, behavioral markers, biomarkers, and mindfulness practice logs; Fitbit activity, heart rate, and sleep data (nij_fitbitSummary.csv); saliva sample collection data (nij_salivaCollectionNotes.csv, nij_salivaQCSpreadsheet.xlsx, nij_salivaryCortCleaned.csv, nij_salivaryCortProcessed.csv, nij_salivaryCortRaw.csv); work event log data (nij_workEventsRaw.xlsx)
• Raw behavioral data files: for all timepoints, affective go/no-go task data (agnRaw) and mnemonic similarity task data (mstRaw)
• Summary behavioral data files (agnSummary): for all timepoints, affective go/no-go task data
• Raw Fitbit data files (fitbitRaw): activity/steps, heart rate, and sleep data for all timepoints
• Scripts: R, Python, and bash scripts, with readme files, that were used in biomarker and behavioral marker data cleaning/analysis

Qualitative interview data and documentation are not available at this time.

In partnership with the Florida Department of Corrections (FDC), this study a) collected prison administrative data to create person-level cohort-analysis files of inmates admitted to and released from Florida prisons between July 1, 2007 and December 31, 2015, b) collected stock population data of inmates incarcerated on June 30, 2011, c) examined recidivism outcomes, d) examined the effects of long-term solitary confinement on inmate behavior and mental health, and e) conducted a survey of prison personnel from November 4, 2019 to January 10, 2020, in order to conduct an analysis to address the need in public policy decision-making for evidence on the impacts of restricted housing on inmates, prisons and personnel, and public safety overall.

This study sought to advance understanding of how school climate is a critical factor in school safety and violence prevention. Middle school and high school students and staff were surveyed over the span of eight years from 2013-2020. Middle school students and staff were surveyed during odd years (4 waves of data collection), and high school students and staff were surveyed the other even years (again four years of data collection). All four years of data per group were combined into a single dataset. A final file was created pooling all eight years of data collection averaging student and staff responses by school.

Both the student and teacher/staff surveys covered two domains: school climate and safety conditions. The school climate domain included perceptions of the school's disciplinary practices, student support efforts, and degree of student engagement in school. The safety conditions domain covered reports of bullying, teasing, sexual harassment, and other forms of peer aggression, including threats of violence, physical assault, dating aggression, and gang activity.

Previous research conducted by the Principal Investigators showed that an authoritative school climate characterized by high structure (strict but fair discipline and high academic expectations) and high support (positive teacher-student relationships) is associated with many positive outcomes. Students who attend schools with an authoritative school climate demonstrated more engagement in school, have higher school attendance and academic achievement, and are more likely to graduate. Students who experience a structured and supportive school climate may be more willing to follow school rules, respond to their teachers, and treat one another in a respectful manner. This study continues that prior work.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files were 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 was designed to determine the nature, incidence, and coincidence of forms of interpersonal conflict and resulting conflict management styles, including physical violence, in an existing nationally-representative cohort of 18 to 32 year old adults between the years 2016 to 2018. Respondent reports of conflicts involving aggressive and violent behavior were distinguished for three relationship categories: intimate partner relationships, friends/acquaintances, and relatively unknown persons/strangers.

The research design covered questions about the nature and frequency of conflicts experienced irrespective of whether the incidents ended violently; conflict management style/tendencies (remedial actions, apologies, accounts); and differences between conflicts that turn violent and those that do not. Additional questions covered include the frequency of violence during the course of disputes, including experiences with physical victimization and the perpetration of violent acts was assessed.

Also elements that facilitate conflict escalation that are deemed important theoretical constructs in research on aggression, such as adverse childhood events, low self-control, negative affect, street code attitudes, routine activities/lifestyles, agreeableness, and alcohol and drug use, in addition to demographic and other person-level variables were investigated.

• iCOR.Wave1.PRIME.sav (269 variables, 2284 cases)
• iCOR.Wave2.PARTNER.sav (266 variables, 480 cases)
• iCOR.Wave2.PRIME.sav (243 variables, 1629 cases)
• iCOR.Wave3.PRIME.sav (243 variables, 1603 cases)

This project examined civil protective orders in Kentucky from multiple perspectives in order to examine rural and urban jurisdictional differences in the protective order process, protective order outcomes, and costs of protective orders, as well as potential avoided costs to society due to the protections that protective orders are supposed to provide. Although partner violence can be perpetrated by both men and women, the vast majority of serious partner violence and protective order use is for cases of male violence against female partners. Thus, this project focused on women victims of partner violence. The study was comprised of three substudies.

The first substudy examined rural and urban key informant perceptions along with court records and other secondary data to provide an in-depth picture of jurisdictional differences in the protective order process.

The second substudy provided a picture of women's self-reported experiences with violence and the protective order system and its outcomes. This substudy not only provided a description of those who obtain protective orders, but also provided a detailed look at the process of obtaining a protective order as well as the sacrifices and barriers that women experience in obtaining protective orders and trying to get them enforced. This substudy also provided detailed information about protective order effectiveness and enforcement outcomes.

The third substudy examined the social and personal costs of abuse and violence, the costs of protective orders, and the potential avoided costs due to the protection protective orders provide. These costs were provided for the sample of women interviewed and were also extrapolated from the sample to the population of victims who obtained protective orders issued in 2007 in Kentucky in order to expand the policy implications of the findings from this substudy.

The data file for Part 1 (Key Informant - Substudy 1) contains 188 cases and 502 variables. The data file for Part 2 (Interview data - Substudies 2 and 3) contains 213 cases and 14,644 variables.