This study sought to develop a risk assessment instrument to be used in the placement of adjudicated juveniles and determination of outcomes for juvenile probationers. The following research questions served as a guide in developing the risk assessment instrument: (1) Does the instrument measure what it purports to measure? (2) Do similar cases receive similar recommendations for placement services? (3) Is the instrument fair to dissimilar groups? (4) Is the instrument useful to practitioners? and (5) Will the instrument be simple to implement? The goal of the new risk assessment instrument was to address the relative risk of recidivism without taking into account the severity of the current offense. In order to develop a new risk assessment instrument, researchers adapted a pre-existing instrument that had been used and validated with juvenile probationers in California. The new instrument was used to evaluate youths for three measures of recidivism: intake actions, petitions filed, and petitions sustained through one year after the placement decisions were made. The sample of youths was comprised of those who in 1996 had received either a field supervision or a placement order as a disposition. The instrument measured age at first finding, prior criminal behavior, institutional commitments or placement of 30 consecutive days or more, drug/chemical use, alcohol use, parental skills, school disciplinary problems, and peer relationships.

The Probationers in Recovery (PIR) program, developed by the San Diego County Probation Department, targeted high-risk, drug-abusing offenders with the goal of controlling offender behavior without increasing risks to communities. This evaluation of PIR was based on a quasiexperimental design that compared program activities and outcomes for two matched groups of high-risk probationers receiving different levels of service and supervision. The assessment included both a process evaluation to discover if expected service levels were implemented as designed, and an impact evaluation to assess the effectiveness of drug treatment within an intensive community supervision program. The experimental group included 209 PIR participants who received intensive community supervision and drug treatment, and the control group consisted of 151 probationers who were assigned to regular high-risk probation caseloads and who met the PIR screening criteria. The samples were selected from probationers entering community supervision from February to December 1991. The length of the PIR program varied, but for purposes of analysis the minimum time in the program to represent the intervention period was set at eight months, including relapse prevention. A comparable period was used for the control group. The subsequent six-month period was used to measure the effects of PIR and regular high-risk probation after intervention. Intake interviews were conducted with a subsample of 96 probationers in PIR and 80 in the control group (Part 1). The interviews were conducted within the first two weeks after intake. Follow-up interviews were conducted with these probationers after they had completed eight months of PIR or regular high-risk probation to measure experiences on probation and changes in behavior and attitudes (Part 2). Follow-up interviews were completed with 47 probationers from the experimental group in the PIR program and 35 in the control group. The case tracking portion of the study involved the review of probation, treatment, and state and local criminal history files (Part 3). Data on technical violations and arrests for new crimes were compiled for the following time periods: (1) six months prior to the instant offense (the baseline), (2) the first eight months of community supervision (the in-program period), (3) the six months after intervention, and (4) the combined 14-month period. The initial interview (Part 1) included questions regarding sociodemographic characteristics, current offense, awareness of probation conditions ordered, perceived consequences for violations of probation, drug use and drug history, prior drug treatment and treatment needs, criminal history, expectations regarding the probation term, opinions regarding probation and treatment, daily activities prior to the current offense, current life satisfaction, and prospects for the future. Questions on the follow-up interview (Part 2) focused on changes in probationers' personal lives (e.g., employment, income, education, marital status, living situation, and relationships with family and friends), technical probation violations and new offenses committed during the eight-month period, sanctions imposed by probation staff, contacts with probation and treatment staff, changes in drug use and daily activities, expectations with regard to remaining crime- and drug-free in the future, attitudes regarding probation and treatment, treatment needs, and significant life changes over the eight-month period. Variables in the tracking data file (Part 3) include sociodemographic characteristics, current offense and sentence imposed, probation conditions ordered, drug use history, offense and probation violations occurring before, during, and after an eight-month probation period, custody time, changes in level of probation supervision, and program interventions such as drug tests, services delivered, and sanctions imposed.

This study was conducted to explore the usefulness of the instruments used in the California Youth Authority's (CYA) Treatment Needs Assessment (TNA) battery. A total of 836 wards who completed screening questionnaires were followed to determine whether they were subsequently placed in mental health programs, were prescribed medications used to treat serious mental health problems, and/or were identified by staff as requiring these services. Data for this study were collected from hard-copy files maintained in CYA ward institutions and the CYA central office. Specific variables include the scale scores of the four instruments used in the TNA, demographic variables of the ward, treatment received by the ward, and ward behavior.

The California Substance Abuse and Crime Prevention Act (SACPA) of 2000 targeted nonviolent offenders who have a history of substance abuse and were primarily charged with misdemeanor or felony possession, excluding selling charges, for diversion from incarceration into community-based substance abuse programs. The two sites selected for this study (the El Monte Drug Court in Los Angeles County and San Joaquin County Drug Court) had SACPA programs that differed from each other and from the Drug Court model. The data for the outcome analysis were collected from administrative databases and from paper files where necessary and available. The data link an individial's criminal activity data, treatment data, and other program activity data. The outcome analysis consisted of Drug Court and Substance Abuse and Crime Prevention Act (SACPA) samples from San Joaquin and El Monte (Los Angeles) counties. Part 1, San Joaquin County Data, had a total of 725 participants and Part 2, El Monte (Los Angeles) County Data, had a total of 587 participants. The Drug Court cohort included pre- and post-SACPA Drug Court participants. The pre-SACPA Drug Court participants included all those who entered the Drug Court program July 1998 through June 1999 and included 202 participants in San Joaquin and 127 participants in El Monte. The post-SACPA Drug Court participants included all those who entered the Drug Court program in July 2002 through June 2003. This sample provided 128 participants in San Joaquin and 147 participants in El Monte who experienced the Drug Court program after any changes in eligibility and Drug Court processes due to SACPA, as well as allowing for outcome data for three years post-program entry. The SACPA samples in San Joaquin and El Monte consisted of all SACPA participants who were first time enrollees in SACPA programs between July 2002 and June 2003. These samples included 395 participants in San Joaquin and 313 participants in El Monte who experienced a reasonably well-established SACPA program while still allowing three years of outcomes post-program entry. The data for both San Joaquin county and El Monte (Los Angeles) county include the demographic variables age, race, gender, and drug of choice. Drug Court Treatment variables include dates or number of group sessions, dates or number of individual sessions, dates or number of days in residential treatment, other Drug Court service dates and types. Substance Abuse and Crime Prevention Act (SACPA) Treatment variables include dates or number of group sessions or episodes, dates or number of individual sessions or episodes, dates or number of urinalysis tests, dates or number of days in residential treatment, and other SACPA service dates and types. Other variables include arrest data, new court cases data, jail data, prison data, and probation data.

This study was designed to assess the needs and characteristics of the female juvenile offender population in California and to evaluate the existing program structure. The main focus was to conduct a pilot study to test an instrument the researchers had designed for profiling the needs of youthful female offenders in developing a protocol for use by other jurisdictions and agencies working with delinquent female youths. To study the needs and program demands of young female offenders, the researchers conducted a profile survey of 162 randomly-selected women at the Ventura School in the California Youth Authority (CYA) in the summer of 1996. The data are the result of personal interviews using a modified version of the instrument used for a 1995 study of adult female offenders in the California Department of Corrections by the principal investigators. Information was collected on demographics, social and economic background, criminal history, and correctional experiences. Demographic variables include age, race and ethnicity, marital status, and parents' marital status. Variables on social and economic background include religious preference, living situation, education, work history, family relationships, pregnancy history while incarcerated, and family and juvenile history. Criminal history variables cover gang involvement, arrest and sentence information, offense profile, reasons for committing the offense, weapon use, substance abuse history, and personal abuse. Variables on correctional experiences include abuse counseling, HIV testing, correctional programming participation, work experience during incarceration, and California Youth Authority housing assignment.

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 represents a combined experimental evaluation of a drug court program, implemented in 1992 in cooperation with the Maricopa County Adult Probation Department, in comparison to standard probation with different levels of drug testing. The experiment's objective was to compare the drug use and criminal behavior of probationers assigned to four alternative regimes or tracks: (1) standard probation, but no drug testing, (2) standard probation with random monthly drug tests, (3) standard probation with testing scheduled twice a week, and (4) drug court, an integrated program of drug testing, treatment, and sanctions that utilized a carefully structured set of rewards and punishments. The experiment was limited to first-time felony offenders convicted of drug possession or use (not sales) and sentenced to a term of three years' probation. A total of 630 probationers from Maricopa County were randomly assigned to one of the four experimental regimes and tracked for a 12-month period. Data collection efforts included: (1) background information on each participant, (2) process information on the characteristics of supervision and services provided under each experimental condition, and (3) follow-up data on subsequent drug use, crime, and pro-social activities for 12 full months. Background Data (Part 1) include demographic variables such as race, sex, education, marital status, living arrangements, and employment history. In addition, there are variables on prior drug use and abuse, drug treatment, criminal histories as both a juvenile and an adult, and risk and need assessment scores. Other variables include the results of drug testing and any sanctions taken for a positive result (Part 2), new arrests while on probation and corresponding disposition and conviction (Part 3), and technical violations and any actions taken for these violations (Part 4). For probationers assigned to drug court (Part 5) there are variables measuring probationers' status, probation recommendations, and judges' decisions at 11 different progress assessments. The follow-up information (Parts 6-8) includes monthly data on the status of the probationer, the number of face-to-face office contacts, phone contacts, work/school contacts, and community contacts, collateral checks, employment/school verification, counseling sessions, alcohol tests, drug tests, substance abuse treatment, the number of hours the probationer spent job hunting, in educational training, in vocational training, and in community service, the number of days employed full- and part-time, and the amount of earnings, fines paid, restitution paid, and fees paid.

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 was a multi-site evaluation of a presumptive drug detection technology (PDDT) developed by Mistral Security Incorporated (MSI). The evaluation was conducted by Justice and Security Strategies, Inc. (JSS) in work release programs, probation and parole offices, and drug courts in three states: Alabama, Florida, and Wyoming. Also, interviews with the offenders, corrections staff, and program administrators were conducted.

This study was undertaken to evaluate the New York City Department of Probation's initiative to place clients in specialized Substance Abuse Verification and Enforcement (SAVE) units for treatment and management. The main analytical strategy of this study was to determine whether clients who were appropriately matched to outpatient drug treatment were less likely to recidivate after treatment in this modality. The focus of the research was not so much on developing powerful prediction models, but rather on determining whether outpatient drug treatment was appropriate and effective for certain types of probationers. The evaluation research involved an in-depth analysis of a sample of 1,860 probationers who were sentenced between September 1991-September 1992 and referred to contracting outpatient drug treatment programs one or more times as of December 31, 1993. The following types of data were collected: (1) the New York City Department of Probation's demographic and drug use information, obtained during the presentence investigation and at intake to probation, (2) the Department of Probation's Central Placement Unit (CPU) database records for each referral made through the CPU, as well as monthly progress reports filled out by the treatment programs on each probationer admitted to drug treatment, (3) the New York State Department of Criminal Justice Statistics' data on criminal histories, and (4) probation officers' reports on whether clients were referred to treatment, the kind of treatment modality to which they were referred, and the dates of admission and discharge. Demographic and socioeconomic variables include age at first arrest and sentencing, gender, race or ethnicity, marital status, family composition, educational attainment, and employment status. Other variables include drug use history (e.g., age at which drugs were first used, if the client's family members used drugs, if the client was actively using heroin, cocaine, or alcohol at time of intake into treatment), criminal history (e.g., age at first arrest, number of arrests, types of crimes, prior convictions, and prior probation and jail sentences), and drug treatment history (e.g., number and types of prior times in drug treatment, months since last treatment program, number of admissions to a CPU program, and number of AIDS education programs attended).

In 1986, the Bureau of Justice Assistance (BJA) funded a demonstration project of intensive supervision programs (ISPs), alternatives to control sanctions that involve community sanctions and emphasize stringent conditions and close monitoring of convicted offenders. The primary intent of the demonstration project was to determine the effects of participation in an ISP program on the subsequent behavior of offenders and to test the feasibility of the ISP's stated objectives: (1) to reduce recidivism by providing a seemingly cost-effective alternative to imprisonment, and (2) to provide an intermediate punishment between incarceration and regular probation that allows the punishment to fit the crime. Fourteen sites in nine states participated in the project and each of the selected sites was funded for 18 to 24 months. Individual agencies in each site tailored their ISP programs to their local needs, resources, and contexts, developed their own eligibility criteria, and determined whether probationers met those criteria. While the individual ISP projects differed, each site was required to follow identical procedures regarding random assignment, data collection, and overall program evaluation. Data collection instruments that differed in the amount of drug-related questions asked were used for the six- and twelve-month reviews. The "non-drug" data collection instrument, used in Contra Costa, Ventura, and Los Angeles counties, CA, Marion County, OR, and Milwaukee, WI, gathered drug data only on the number of monthly drug and alcohol tests given to offenders. The "drug" data collection instrument was distributed in Atlanta, Macon, and Waycross, GA, Seattle, WA, Santa Fe, NM, Des Moines, IA, and Winchester, VA. Variables regarding drug use included the number of drug tests ordered, the number of drug tests taken, and the number of positives for alcohol, cocaine, heroin, uppers, downers, quaaludes, LSD/hallucinogens, PCP, marijuana/hashish, and "other". The drug questions on the instrument used in Dallas and Houston, TX, were the same as those asked at the drug sites. Once a site determined that an offender was eligible for inclusion, RAND staff randomly assigned the offender to either the experimental ISP program (prison diversion, enhanced probation, or enhanced parole) or to a control sanction (prison, routine probation, or parole). Assignment periods began in January 1987 and some sites continued to accept cases through January 1990. Each offender was followed for a period of one year, beginning on the day of assignment to the experimental or control program. The six-month and twelve-month review data contain identical variables: the current status of the offender (prison, ISP, or terminated), record of each arrest and/or technical violation, its disposition, and sentence or sanction. Information was also recorded for each month during the follow-up regarding face-to-face contacts, phone and collateral contacts, monitoring and record checks, community service hours, days on electronic surveillance (if applicable), contacts between client and community sponsor, number and type of counseling sessions and training, days in paid employment and earnings, number of drug and alcohol tests taken, and amount of restitution, fines, court costs, and probation fees paid. Background variables include sex, race, age at assignment, prior criminal history, drug use and treatment history, type of current offense, sentence characteristics, conditions imposed, and various items relating to risk of recidivism and need for treatment. For the two Texas sites, information on each arrest and/or technical violation, its disposition, and sentence or sanction was recorded in separate recidivism files (Parts 10 and 17). Dates were converted by RAND to time-lapse variables for the public release files that comprise this data collection.