Michigan Study of Life After Prison, Administrative Data on 2003 Cohort of Michigan Parolees
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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 files available with this collection and consult the investigator(s) if further information is needed. The Michigan Study of Life After Prison examined the association between neighborhood context and outcomes related to employment and recidivism among the cohort of former prisoners released on parole from Michigan state prisons in one calendar year (2003), controlling for pre-incarceration neighborhood context, local labor market conditions, and a large set of individual characteristics. The primary goals of this study were to answer two questions: (1) "Are ex-offenders who are released to more disadvantaged neighborhoods (those with greater poverty, unemployment, residential turnover, etc.) more likely to recidivate?" (2) "Are ex-offenders who are released to more disadvantaged neighborhoods less likely to gain stable employment?" This research sought to supplement available literature on prisoner reentry and criminal desistance, which the researchers posit existing literature has largely ignored the role that neighborhoods play in shaping the recidivism and employment of returning prisoners. The 31 data files included as part of this collection are as follows: Cleaned Data Files: casenotearrestsreps1-4_ICPSR-EDITED.dta: 4,932 Cases, 12 Variables casenotearrestsreps5-8_ICPSR-EDITED.dta: 5,302 Cases, 13 Variables casenotearrestsrep9_ICPSR-EDITED.dta: 2,321 Cases, 13 Variables casenoteemploymentreps1-4_ICPSR-EDITED.dta: 4,871 Cases, 28 Variables casenoteemploymentreps5-8_ICPSR-EDITED.dta: 4,754 Cases, 23 Variables casenoteemploymentrep9_ICPSR-EDITED.dta: 2,610 Cases, 23 Variables cleanedcasenoteaddressesreps1-8_ICPSR-EDITED.dta: 50,207 Cases, 72 Variables cleanedcasenoteaddressesrep9_ICPSR-EDITED.dta: 10,309 Cases, 69 Variables preprisonaddress_all_ICPSR-EDITED.dta: 5,183 Cases, 30 Variables preprisonaddress_all_rep9_ICPSR-EDITED.dta: 1,017 Cases, 63 Variables postprisads_ICPSR-EDITED.dta: 11,064 Cases, 41 Variables cleaned-demographics-population_ICPSR-EDITED.dta: 11,064 Cases, 57 Variables simplecrimhistory.dta: 11,064 Cases, 4 Variables popSAhistory.dta: 11,064 Cases, 8 Variables deathdates_ICPSR-EDITED.dta: 308 Cases, 3 Variables popprisonenterdates.dta: 11,064 Cases, 7 Variables discharge dates.dta: 7,369 Cases, 5 Variables parole and release dates for pop.dta: 11,064 cases, 3 Variables mdoc_recidivism_measures.dta: 11,064 Cases, 6 Variables recidivism dates from transits.dta: 11,064 Cases, 8 Variables recidivism from bir.dta: 11,064 Cases, 3 Variables sample marker.dta: 3,689 Cases, 2 Variables samplereps.dta: 3,689 Cases, 2 Variables tta_rsid_rep.dta: 1,363 Cases, 2 Variables Contextual Data Files: Complete.data.file.dta: 2,757 Cases, 1,055 Variables countyemployment.dta: 10,956 Cases, 6 Variables places.dta: 5,004 Cases, 5 Variables TractDataInterpolated-long.dta: 57,036 Cases, 50 Variables TractDataInterpolated-wide.dta: 2,716 Cases, 1,009 Variables tractscales2000.dta: 2,716 Cases, 49 Variables urbanicity + density.dta: 2,716 Cases, 9 Variables Demographic variables included: gender, race, educational attainment, age, employment, and marital status.
Responding to Fiscal Challenges in State Correctional Systems: A National Study of Prison Closings and Alternative Strategies, 2007-2012
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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 addresses changes to state correctional systems and policies in response to correctional spending limits brought on by the worsening economic climate beginning in late 2007. These changes include institutional changes, such as closing prisons and reducing staffing, "back-end" strategies, such as reductions in sentence lengths and reduced parolee supervision, and "front-end" measures, such as funding trade-offs between other governmental and social services. A survey of the 50 state correctional administrators addressed fiscal stress, including size and characteristics of the prison population, prison crowding, prison expenditures, institutional safety, staff morale, public safety and other justice spending. Additionally, six states were selected for in depth case studies, which included interviews with facility personnel and site visits by research staff in order to thoroughly understand the challenges faced and the resulting decisions made. Additionally, each state's demographic, correctional spending, and overall financial information was collected from census and other publicly available reports. Information on the overall health and safety of the inmates was examined through an econometric comparison of funding levels and statistics as to prisoner mortality, crime and incarceration rates.
A Multi-site Comparison of Risk Assessments within the Juvenile Justice System, 2007-2013 [United States]
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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)
Probation and Parole Officers' Outlook on the Proposed GPS Toolkit: Focus Groups on the Potential of Proposed Tools for TRACKS in Oklahoma, 2011
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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 purpose of the Probation/Parole Officer's (PPO) portion of the study was designed to capture work experiences, caseload, and several important issues related to information systems assimilation (i.e., work environment, caseload, technical support, system reliability and consistency, perceived usefulness of information and system, perceived ease of use, attitude toward the current GPS system and the program, intention to use, actual use, access to system, flexibility of the system to adapt to user needs, integration of information into other agency processes, quality of output, comprehensiveness of information provided, format of the system display and output provided, timeliness of obtaining the information, speed of system operation, overall satisfaction with monitoring system, training provided, value added to the officers efforts by the monitoring system, and ease of learning to use the system).The single data file (PPO_survey_data_9182014.sav) contains 102 variables and 55 cases.