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. The main goal of the study was to empirically measure the effectiveness of Telepsychiatry for mentally ill parolees.Parolees enrolled in the study were assigned to either face-to-face sessions with their psychiatrists for the duration of their treatment or telepsychiatry sessions with their psychiatrist, in which the parolees interacted with their assigned psychiatrist via a web-based screen interface. Administrative records data on recidivism was collected for everyone who consented to be randomized in this study.

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. Secondary data analysis was performed on the Office of Juvenile Justice and Delinquency Prevention's Survey of Youth in Residential Placement (SYRP), which is the only national survey that gathers data directly from youth in the juvenile justice system. The Office of Juvenile Justice and Delinquency Prevention (OJJDP) designed the survey in 2000 and 2001 to survey offender youth between the ages of 10 and 20. SYRP asks the youth about their backgrounds, offense histories and problems; the facility environment; experiences in the facility; experiences with alcohol and drugs; experiences of victimization in placement; medical needs and services received; and their expectations for the future. The collection contains 1 syntax text file (Mplus syntax.txt). No data is included 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.This study involved an examination of the relative effects of measures of inmate characteristics, features of facility environments, and managerial practices, including the perceived legitimacy of the correctional staff, on both the prevalence and incidence of violent, drug, and other nonviolent misconduct.Inmate, officer, and facility data were collected from each of the 33 facilities for adults in Ohio and each of the 13 state operated facilities for adults in Kentucky. The inmate data (Inmate Level Data, n=5,640) includes information on inmates collected through on-site surveys, and then supplemented with information from administrative records. The officer data (Correctional Officer Data, n=1,841) includes information on correctional officers collected through a mail survey, and then supplemented with information retrieved from administrative records. Facility data (Facility Level Data, n=46) were derived from aggregating responses to the inmate survey, from administrative records and from semi-structured interviews conducted with the wardens of each facility.

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 study used a multi-method approach including 1. a process evaluation in all eight sites involving yearly site visits from 2012 to 2014 with key stakeholder interviews, observations, and participant focus groups; 2. a prospective impact evaluation (in four sites) including interviews at release from jail or prison and at 12 months after release (as well as oral swab drug tests) with reentry court participants and a matched comparison group; 3. a recidivism impact evaluation (in seven sites) with a matched comparison group tracking recidivism for 2 years post reentry court entry and 4. a cost-benefit evaluation (in seven sites) involving a transactional and institutional cost analysis (TICA) approach. Final administrative data were collected through the end of 2016.This collection includes four SPSS data files: "interview_archive2.sav" with 746 variables and 412 cases, "NESCCARC_Archive_File_3.sav" with 518 variables and 3,710 cases, "Interview Data1.sav" with 1,356 variables and 412 cases, "NESCCARC Admin Data File.sav" with 517 variables and 3,710 cases, and three SPSS syntax files: "Interview Syntax.sps", "archive_2-17.sps", and "NESCCARC Admin Data Syntax.sps".

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. The research project has tested a possible explanation for the Great American Crime Decline of the 1990s and especially 2000s: the increasing rates at which psychotropic drugs are prescribed, especially to children and adolescents. Psychotropic drugs are often prescribed to youth for mental health conditions that involve disruptive and impulsive behaviors and learning difficulties. The effects of these drugs are thus expected to lead to the decrease in the juveniles' involvement in delinquency and violence. The effects of two legislative changes are hypothesized to have contributed to the increased prescribing of psychotropic drugs to children growing up in families in poverty: 1) changes in eligibility for Supplemental Security Income (SSI) that made it possible for poor children to qualify for additional financial assistance due to mental health conditions (1990 and 1996), and 2) changes in school accountability rules following the passage of No Child Left Behind Act (2002) that put pressure on schools in some low-income areas to qualify academically challenged students as having ADHD or other learning disabilities. The objectives of the project are: 1) to assemble a data set, using state-level data from various publicly available sources, containing information about trends in juvenile delinquency and violence, trends in psychotropic drug prescribing to children and adolescents, and various control variables associated with these two sets of trends; 2) to test the proposed hypotheses about the effect of increasing psychotropic medication prescribing to children and adolescents on juvenile delinquency and violence, using the assembled data set; and 3) to disseminate the scientific knowledge gained through this study among criminal justice researchers, psychiatric and public health scientists, as well as among a wider audience of practitioners and the general public. This collection includes one SPSS file (Dataset_NIJ_GRANT_2014-R2-CX-0003_DV-IV_3-29-17.sav; n=1,275, 113 variables) and one Word syntax file (doc36775-0001_syntax.docx).

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 is a quasi-experimental, observational study using administrative data to assess whether time in juvenile placement was associated with the acquisition of social-emotional skills and subsequent felony recidivism. Concurrent with a change in juvenile sentencing policy in Washington State a comprehensive risk and needs assessment tool (R-PACT) was piloted to investigate the impact that therapeutically oriented incarceration had on youth. This tool was made up of 12 domains of risk and needs, including a section on dynamic factors related to therapeutic skills. Youth were admitted into the study in two cohorts, a main study cohort and a replication study cohort.

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. The Multi-jurisdiction Research on Kiosk Supervision examined the prevalence of kiosk reporting, implementation experience of agencies using it, and outcomes and costs associated with its use. A telephone screener survey of 492 community supervision agencies nationally in 2012 identified 21 agencies currently using kiosk reporting, agencies that formerly used it, and those that considered but decided against using kiosk reporting. Telephone interviews with 30 agencies and site visits with five agencies measured the benefits and limitations of kiosk reporting and the issues for adopting and implementing kiosk reporting systems. This information served as the basis for a guidebook on kiosk reporting developed for community supervision agencies. Two outcome studies assessed the effectiveness of kiosk reporting for low-risk clients on public safety outcomes, relative to traditional face-to-face officer reporting and another electronic reporting approach. These studies analyzed administrative data from two large community supervision agencies, which used separate quasi-experimental designs for each site. At one of the sites, two separate designs and datasets were used to compare kiosk reporting and traditional face-to-face officer reporting on outcomes over a 6-month period. At the other site, clients assigned to kiosk supervision were compared to clients assigned to telephone reporting with interactive voice response (IVR) over a 6-month period.

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 directly examined the nature and characteristics of cases prosecuted in the federal courts by analyzing prosecutorial decisions to proceed with charges (or not) once an arrest is initiated, and to investigate any adjustment from the arresting offense to the charging offense. These decisions were analyzed to document their correlates and identify variation across case type. The collection contains 1 SPSS data file (2002-10-Arrest-cases--FINAL-ANALYSIS.sav (n=794,807; 43 variables)) and 1 SPSS syntax file.

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 examined the validity, reliability, equity and cost of nine juvenile justice risk assessment instruments. It was designed to provide a comprehensive examination of how several risk assessments perform in practice. This study posed the following questions: Is each risk assessment instrument sufficiently reliable (i.e., inter-rater reliability) to ensure that decisions regarding level of risk and identified service needs are consistent across the organization? What specific risk assessment items are associated with less reliability? What items are rated reliably by staff? Is each risk assessment instrument valid? Specifically, what degree of discrimination is attained between assigned risk levels? Could the instrument be improved by adding or deleting specific factors and/or altering cut-off scores? Is each risk assessment instrument valid for population subgroups: White/Caucasian, Black/African American, Hispanic/Latino, females, probationers, and youth in aftercare status? Could equity be improved by adding or deleting specific factors or altering cut-off scores? What costs are associated with each risk assessment instrument? The study collection includes 31 SPSS data files all_jais_combined.sav (n=1,141; 6 variables) ar_fire_final_file_ojjdp-ICPSR.sav (n=119; 205 variables) AR_yls_irr_FINAL-ICPSR.sav (n=155; 136 variables) azaoc_FINALFILE-ICPSR.sav (n=7,589; 438 variables) AZAOC_irr_FINAL-ICPSR.sav (n=458; 101 variables) AZDJC_FINAL_FILE-ICPSR.sav (n=1,265; 1,290 variables) AZDJC_irr_FINAL-ICPSR.sav (n=55; 120 variables) COMMITMENT_FINAL_SAMPLE2-ICPSR.sav (n=11,154; 719 variables) FinalDJJReleasesWithRecid_BothYears2-ICPSR.sav (n=90,818; 31 variables) FIRE_NE_COMM_FINAL_FILE_OJJDP-ICPSR.sav (n=597; 174 variables) fire_ne_probation_final-ICPSR.sav (n=1,077; 237 variables) FL_irr_FINAL-ICPSR.sav (n=519; 140 variables) GA_irr_FINAL-ICPSR.sav (n=509; 263 variables) gafire_boyscommunityALL_FINAL-ICPSR.sav (n=5,009; 781 variables) gafire_communityALLforretrofit2-ICPSR.sav (n=6,943; 666 variables) gafire_finalsampforanalysis_all-ICPSR.sav (n=7,412; 642 variables) gafire_finalsampforanalysis_girls-ICPSR.sav (n=2,005; 768 variables) jais_boys_wk_1-ICPSR.sav (n=1,989; 484 variables) jais_girls_wk_1-ICPSR.sav (n=745; 484 variables) NE_irr_FINAL-ICPSR.sav (n=727; 160 variables) OR_irr_FINAL-ICPSR.sav (n=477; 112 variables) ORE_FIRE_final-ICPSR.sav (n=12,370; 340 variables) PROBATION_FINAL_BOYS_ALL-ICPSR.sav (n=20,621; 837 variables) PROBATION_FINAL_GIRLS_ALL-ICPSR.sav (n=6,748; 849 variables) va_boyssample-ICPSR.sav (n=1,106; 1,273 variables) va_final_sample_fullscreen-ICPSR.sav (n=1,439; 1,237 variables) va_girlssample-ICPSR.sav (n=333; 1,256 variables) VA_irr_expert_FINAL-ICPSR.sav (n=10; 308 variables) VA_irr_worker_FINAL-ICPSR.sav (n=685; 308 variables) vafinalsample-ICPSR.sav (n=1,919; 1,200 variables) workersurveyfinal-ICPSR.sav (n=400; 69 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. 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".