The purpose of this data collection was to measure the validity or accuracy of four recidivism prediction instruments: the INSLAW, RAND, SFS81, and CGR scales. These scales estimate the probability that criminals will commit subsequent crimes quickly, that individuals will commit crime frequently, that inmates who are eligible for release on parole will commit subsequent crimes, and that defendants awaiting trial will commit crimes while on pretrial arrest or detention. The investigators used longitudinal data from five existing independent studies to assess the validity of the four predictive measures in question. The first data file was originally collected by the Vera Institute of Justice in New York City and was derived from an experimental evaluation of a jobs training program called the Alternative Youth Employment Strategies Project implemented in Albuquerque, New Mexico, Miami, Florida, and New York City, New York. The second file contains data from a RAND Corporation study, EFFECTS OF PRISON VERSUS PROBATION IN CALIFORNIA, 1980-1982 (ICPSR 8700), from offenders in Alameda and Los Angeles counties, California. Parts 3 through 5 pertain to serious juvenile offenders who were incarcerated during the 1960s and 1970s in three institutions of the California Youth Authority. A portion of the original data for these parts was taken from EARLY IDENTIFICATION OF THE CHRONIC OFFENDER, [1978-1980: CALIFORNIA] (ICPSR 8226). All files present demographic and socioeconomic variables such as birth information, race and ethnicity, education background, work and military experience, and criminal history, including involvement in criminal activities, drug addiction, and incarceration episodes. From the variables in each data file, standard variables across all data files were constructed. Constructed variables included those on background (such as drug use, arrest, conviction, employment, and education history), which were used to construct the four predictive scales, and follow-up variables concerning arrest and incarceration history. Scores on the four predictive scales were estimated.

This data collection provides comprehensive criminal history data on prisoners released from custody in 1983. Precise estimates are supplied on recidivism among prisoners of all ages with all types of postrelease supervision. Data cover recidivism both within and outside the states in which the prisoners were released. Variables include sociodemographic indices, type of sentence, length of sentence, offense, court action, and date of court action.

This survey of prosecutors, defense attorneys, and judges in jurisdictions with sentence enhancement statutes for repeat offenders collected information about the characteristics of the laws and criminal justice professionals regarding the fairness, effectiveness, and practice of the laws. The jurisdiction file includes variables such as jurisdiction size, number of provisions in the law, number of felony cases handled under the law per year, number of defendants sentenced as repeat offenders, frequency of charging and sentencing under the law, and minimum and maximum sentences specified in the statutes. The variables in the three surveys of practitioners contain data related to their familiarity with the laws, descriptions of recent cases, and satisfaction with the new statutes.

recidivism rates for persons released from state prisons with specific demographic, criminal history, and sentence attributes.

Using data from RECIDIVISM OF PRISONERS RELEASED IN 1994: [UNITED STATES] (ICPSR 3355), this study developed an analytical approach to utilize detailed dated criminal arrest history information in order to investigate whether, and to what extent, incarceration is able to deter offenders from future offending. This data collection consists of the syntax for a SAS macro used to estimate individual specific offending micro-trajectories, project counterfactual trajectories, and to assess the actual post-release offending patterns against the backdrop of these counterfactuals. The arrest records of individuals were clustered in chronological order and were truncated after the first post-release re-arrest event. The key independent variables used in estimating the pre-release criminal history accumulation process included the arrest number, the age at first arrest, whether or not the individual was confined as a result of the previous arrest event, and a measure of the number of years taken to reach each arrest event cumulated through the last arrest event. The same set of basic variables were used to model first re-arrest after release (recidivism).

These data were gathered to investigate the usefulness of statistical methods, particularly multiple-regression analysis, in predicting repeat criminal activity subsequent to an individual's release from prison. The data collection consists of follow-up information, collected in 1988, on a sample of males released from California prisons. The follow-up study identified criminal activity subsequent to individuals' release from prison through 1988. Predictor variables include age, prior periods of arrest, history of drug use, seriousness of original offense, and number of arrests for nuisance, person, property, and fraud offenses.

The NSW Reoffending Database (ROD) contains information on each person who has been convicted of a criminal offence in NSW since 1994, and provides information on: the number of convicted offenders receiving a penalty other than prison who re-offend within 12 months, by gender, age and Indigenous status. 2) the number of persons exiting prison who re-offend within 12 months, by gender, age and Indigenous status. 3) the number of convicted adult offenders who re-offend within the same offence group within 12 months by offence. 4) the number of convicted adult offenders who re-offend with any offence within 12 months by offence.

In order to assess the impacts of state-level sentencing and corrections policies in the United States implemented between 1975 and 2002 on state incarceration rates during that same time period, researchers conducted a two-phase study between November 2002 and March 2004. The first phase of the research involved building a framework for understanding the types of state-level sentencing and corrections policies in use between 1975 and 2002. Phase two of the project consisted of state-level data collection for all 50 states for all study years, 1975 to 2002. The researchers produced a dataset containing outcome variables that focus on the change and growth in state incarceration rates, non-policy control variables that were found in previous studies to be associated with changes in incarceration rates, and policy variables regarding sentencing structure, drug policy, time served requirements, habitual offender laws (HOL), and mandatory sentences.

This study examines the criminal activities of a group of young offenders after their release from prison to parole supervision. Previous studies have examined recidivism using arrests as the principal measure, whereas this study examines a variety of factors, including length of incarceration, age, sex, race, prior arrest record, prosecutions, length of time between parole and rearrest, parolees not prosecuted for new offenses but having their parole revoked, rearrests in states other than the paroling states, and the nature and location of rearrest charges. Parolees in the 22 states covered in this study account for 50 percent of all state prisoners paroled in the United States in 1978.

This study was undertaken to investigate the relationship, if any, between drug treatment and success or failure of drug-involved offenders on probation/community supervision. Further, the researchers sought to evaluate the outcomes of drug-involved offenders admitted to (1) secure residential substance abuse treatment (RSAT) programs, (2) non-secure residential drug treatment programs, (3) non-residential drug treatment programs, and (4) no drug treatment programs. Data were collected from administrative records provided by the Florida Department of Corrections, specifically case history records of offenders admitted to supervision in the community from July 1, 1991, through June 30, 1997. Part 1 is comprised of all cases admitted to community supervision between July 1, 1991, and June 30, 1993 (fiscal years 1991 and 1992) and treated in a secure residential drug treatment program. Part 2 is comprised of all cases admitted to community supervision from July 1, 1991, through June 30, 1995, receiving treatment in a non-secure residential drug treatment program. Part 3 contains data on offenders admitted to non-residential drug treatment programs, whose community supervision admissions were between July 1, 1991, and June 30, 1993. Part 4 contains data on offenders admitted to non-residential drug treatment programs, whose community supervision admissions were between July 1, 1993, and June 30, 1995 (fiscal years 1993 and 1994). Part 5 contains data on cases admitted to community supervision between July 1, 1991, and June 30, 1993, who did not receive drug treatment of any kind. Cases admitted to community supervision between July 1, 1993, and June 20, 1995, receiving no drug treatment are contained in Part 6. Each supervision admission record contains a history of subsequent court actions that were complete through December 31, 1997. Variables for all parts include population estimates, unemployment rates, population by age-specific categories, violent and nonviolent index offenses, per capita personal income, clearance rates, split sentence flag, primary offense disposition, primary offense felony level, current commitment years supervised, supervision type, whether current offense included a drug charge, number of prior supervision terms, number of prior commitments, reasons for failure, treatment facility code, number of drug sale/traffic offenses, outcome of supervision period, and reasons for prison intake. Demographic variables include race and gender.