Evaluation of a Global Positioning System for Monitoring High-Risk Gang Offenders in California, 2006-2009 (ICPSR 34926)
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.
Monitoring High-Risk Sex Offenders with GPS Technology in California, 2006-2009 (ICPSR 34221)
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 for NACJD 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 evaluation was to determine the effectiveness of global positioning system (GPS) monitoring of high-risk sex offenders (HRSOs) who were placed on parole in California between 2006 and 2009. This study integrates both outcome and process evaluation components to assess the impact of the California Department of Corrections and Rehabilitation (CDCR) GPS supervision program by employing a nonequivalent-group quasi-experimental design with a multilevel survival model. The outcome of interest was recidivism. A propensity score matching procedure was used to account for the differences between the treatment and comparison groups. Parolee data were collected from six sources: the California Department of Corrections and Rehabilitation (CDCR) data management system, official arrest records, parole supervision records, GPS monitoring data, CDCR cost information, and a CDCR parole agent survey. The final sample included 516 parolees equally divided between the treatment and control groups and 153 GPS parole agents with HRSO caseloads.
Recover Me if You Can: Assessing Services to Victims of Identity Theft, United States, 2017-2019 (ICPSR 37699)
This multi-phase study was conducted to discover and learn more about the services offered to victims of identity theft and to evaluate the effect of these services on those who experienced this crime.
The first phase of this study focused on the effects of identity theft services on its direct victims. This was accomplished by combining available data from the Identity Theft Supplement (ITS) with survey data associated with the Identity Theft Resource Center (ITRC).
The second phase of this study was conducted as multiple focus groups where qualitative data was collected to help in understanding more about identity crime victimization. The participants that attended these focus groups were organizations and individuals who provided insight on the type of interactions within these identity crime services.
The third phase of this study was to examine the level of efficiency of the ITRC victim call center by performing interviews with the victims.
Demographic variables include gender, race, age, ethnicity, education, marital status, and income.