These data are part of NACJD's Rapid 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 is an evaluation of the "fast-track" program that was created to alleviate caseload pressures caused by a dramatic increase in immigration-related cases. This program allows a federal prosecutor to offer a below guideline sentence in exchange for a defendant's prompt guilty plea and a waiver of certain rights. Research questions addressed in the study included: (1) to what extent do fast-track programs impact the efficient processing of (primarily) immigration cases and (2) to what extent does prosecutorial discretion exercised in fast-track processing contribute to sentencing disparity.

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 evaluates the impacts of re-entry programs developed by seven grantees awarded funds under the Second Chance Act (SCA) Adult Demonstration Program to reduce recidivism by addressing the challenges faced by adults returning to their communities after incarceration. The collection contains 3 SAS data files: admin30.sas(n=966; 111 variables), MIS.sas(n=606; 48 variables), and survey.sas(n=789; 273 variables) and 1 SAS 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 project explored the intensity of supervision conditions on parole failures by considering the role of home visits in five major events: general violations, drug test failures, technical violation arrests, new felony arrests, and revocations. Longitudinal data from the State of Georgia were pooled to examine 28,284 parolees who completed supervision in 2011 - 2013. Qualitative data analyzing case notes on home visits obtained from an offender case management system on high risk parolees who entered supervision between 2008, 2010 and 2012 and exited between 2011 through 2013 are not archived with ICPSR. The study collection includes 2 SPSS data files: Historical_Agency_Dataset.sav (n=28,284; 39 variables) and Observational_Dataset.sav (n=383; 122 variables).

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. 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 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 purpose of the study was to implement a "platform-based" methodology for collecting data about police organizations and the communities they serve with the goals of generating in-depth standardized information about police organizations, personnel and practices and to help move policing in the direction of evidence-based "learning-organizations" by providing judicious feedback to police agencies and policy makers. The research team conducted three web-based Law Enforcement Organizations (LEO) surveys of sworn and civilian law enforcement employees (LEO Survey A Data, n=22,765; LEO Survey B Data, n=15,825; and LEO Survey C Data, n=16,483). The sample was drawn from the 2007 Law Enforcement Management and Administrative Statistics (LEMAS) database. Agencies with 100 to 3,000 sworn police personnel were eligible for participation. To collect data for the Police-Community Interaction (PCI) survey (PCI Data, n=16,659), each week department employees extracted names and addresses of persons who had recent contact with a police officer because of a reported crime incident, traffic accident or traffic stop. Typically, the surveys were completed within two to four weeks of the encounter.

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 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 purpose of this evaluation was to determine the effectiveness of the global positioning system (GPS) monitoring of high-risk gang offenders (HRGOs) who are placed on parole. The study focuses on HGROs who were released from prison and placed on parole supervision with GPS monitoring in six California jurisdictions between March 2006 and October 2009. A propensity score procedure was performed using a sample of offenders drawn from the same six communities who were not placed on GPS monitoring. The matching procedure resulted in a final sample of 784 subjects (392 treatment and 392 control). The study used six primary sources to collect data: 1)the California Department of Corrections and Rehabilitation (CDCR) data management system, 2) official arrest records, 3) parole supervision records, 4) GPS monitoring data, 5) a CDCR parole agent (PA) survey, and 6) CDCR cost information.

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 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 purpose of the study was to: Describe the prosecution and sentencing histories for domestic violence and other offenses;Determine the severity gap in prosecution and sentencing between these domestic violence and non-domestic violence over a six year period; andTo answer whether the variation in prosecution and sentencing severity predicts being subsequently charged for domestic violence in the future.Rhode Island was selected as the study site because it has a high domestic violence arrest rate and specifically distinguishes domestic violence from non-domestic violence offenses based on the relationships of the parties, not by specific type of crime. Further, Rhode Island's judiciary maintains a public web-based database, called CourtConnect, that includes an index of defendants by name and date of birth and lists all arrests followed by prosecution and court actions through final sentence. The criminal history information includes all charges filed in any Rhode Island court for the last 25 years. Two researchers independently coded offender data (Differential Sentencing Data - Persons, n=982) available on CourtConnect. Coders then determined whether the defendants were prosecuted for the charges brought against them (Differential Sentencing Data - Offenses, n=6,649). Offenses that were not prosecuted were differentiated from offenses that were prosecuted. Each charge was classified as domestic violence or non-domestic violence as defined by state statute.