The purpose of this study was to assess both the school-level effects and the participant-level effects of Youth Crime Watch (YCW) programs. Abt Associates conducted a four-year impact evaluation of Youth Crime Watch (YCW) programs in three Florida school districts (Broward, Hillsborough, and Pinellas Counties). School-based YCW programs implement one or more of a variety of crime prevention activities, including youth patrol, in which YCW participants patrol their school campus and report misconduct and crime. The evaluation collected both School-Level Data (Part 1) and Student-Level Data (Part 2). The School-Level Data (Part 1) contain 9 years of data on 172 schools in the Broward, Hillsborough, and Pinellas school districts, beginning in the 1997-1998 school year and continuing through the 2005-2006 school year. A total of 103 middle schools and 69 high schools were included, yielding a total of 1,548 observations. These data provide panel data on reported incidents of crime and violence, major disciplinary actions, and school climate data across schools and over time. The Student-Level Data (Part 2) were collected between 2004 and 2007 and are comprised of two major components: (1) self-reported youth attitude and school activities survey data that were administered to a sample of students in middle schools in the Broward, Hillsborough, and Pinellas School Districts as part of a participant impact analysis, and (2) self-reported youth attitude and school activities survey data that were administered to a sample of YCW continuing middle school students and YCW high school students in the same three school districts as part of a process analysis. For Part 2, a total of 3,386 completed surveys were collected by the project staff including 1,319 "new YCW" student surveys, 1,581 "non-YCW" student surveys, and 486 "Pro" or "Process" student surveys. The 138 variables in the School-Level Data (Part 1) include Youth Crime Watch (YCW) program data, measures of crime and the level of school safety in a school, and other school characteristics. The 99 variables in the Student-Level Data (Part 2) include two groups of questions for assessing participant impact: (1) how the respondents felt about themselves, and (2) whether the respondent would report certain types of problems or crimes that they observed at the school. Part 2 also includes administrative variables and demographic/background information. Other variables in Part 2 pertain to the respondent's involvement in school-based extracurricular activities, involvement in community activities, attitudes toward school, attitudes about home environment, future education plans, attitudes toward the YCW advisor, attitudes about effects of YCW, participation in YCW, reasons for joining YCW, and reasons for remaining in YCW.

In 1985, the Teens, Crime, and the Community and Community Works (TCC/CW) program, a collaborative effort by the National Crime Prevention Council (NCPC) and Street Law, Inc., was developed in an effort to reduce adolescent victimization. The purpose of the study was to assess whether the TCC/CW program was successfully implemented and whether it achieved its desired outcome, namely to reduce adolescent victimization. Following an extensive effort to identify potential sites for inclusion in the TCC/CW program outcome evaluation, a quasi-experimental five-wave panel study of public school students was initiated in the fall of 2004. Classrooms in the sample were matched by teacher or subject and one-half of the classrooms received the TCC/CW curriculum while the other half (the control group) was not exposed to the curriculum. A total of 1,686 students representing 98 classrooms in 15 middle schools located in 9 cities in 4 different states were surveyed 3 times: pre-tests in Fall 2004 (Part 1), post-tests in Spring 2005 (Part 2), and through a one-year follow-up survey in Fall 2005 (Part 3). A total of 227 variables are included in Part 1, 297 in Part 2, and 290 in Part 3. Most of these variables are the same across waves, including demographic variables, variables measuring whether the students are involved in extracurricular and other school related activities, community service, religious activities, family activities, employment, or illegal activities and crime, variables measuring the students' views regarding bullying, schoolwork, school and neighborhood violence, property crimes, drug use, alcohol use, gun violence, vandalism, skipping school, inter-racial tensions, neighborhood poverty, and law-enforcement officers, variables measuring how students react to anger, risk, conflict with fellow students, and how they handle long-term versus short-term decision-making, variables measuring group dynamics, variables measuring students' self-esteem, and variables measuring students' awareness of resources in their respective school and neighborhood to address problems and provide support.

This study was a secondary analysis of Survey of Youth in Residential Placement (SYRP) 2003 [United States] ICPSR 34304. In recent years, considerable empirical and theoretical attention has been given to the overlap between gang membership and victimization. Gang-involved youth are significantly more likely to experience both violent and nonviolent victimization than are their non-gang peers. Much of what is known about the gang-victimization link, however, comes from studies of youth in the community. In this study, we explore the relationship between gang affiliation and victimization in a nationally representative sample of youth in residential placement.

This survey was conducted by the National Youth Gang Intervention and Suppression Program. The primary goals of the program were to assess the national scope of the gang crime problem, to identify promising programs and approaches for dealing with the problem, to develop prototypes from the information gained about the most promising programs, and to provide technical assistance for the development of gang intervention and suppression programs nationwide. The survey was designed to encompass every agency in the country that was engaged in or had recently engaged in organized responses specifically intended to deal with gang crime problems. Cities were screened with selection criteria including the presence and recognition of a youth gang problem and the presence of a youth gang program as an organized response to the problem. Respondents were classified into several major categories and subcategories: law enforcement (mainly police, prosecutors, judges, probation, corrections, and parole), schools (subdivided into security and academic personnel), community, county, or state planners, other, and community/service (subdivided into youth service, youth and family service/treatment, comprehensive crisis intervention, and grassroots groups). These data include variables coded from respondents' definitions of the gang, gang member, and gang incident. Also included are respondents' historical accounts of the gang problems in their areas. Information on the size and scope of the gang problem and response was also solicited.

This study was conducted to address the dropping rates in residential placements of adjudicated youth after the 1990s. Policymakers, advocates, and reseraches began to attirbute the decline to reform measures and proposed that this was the cause of the drop seen in historic national crime. In response, researchers set out to use state-level data on economic factors, crime rates, political ideology scores, and youth justice policies and practices to test the association between the youth justice policy environment and recent reductions in out-of-home placements for adjudicated youth. This data collection contains two files, a multivariate and bivariate analyses. In the multivariate file the aim was to assess the impact of the progressive policy characteristics on the dependent variable which is known as youth confinement. In the bivariate analyses file Wave 1-Wave 10 the aim was to assess the states as they are divided into 2 groups across all 16 dichotomized variables that comprised the progressive policy scale: those with more progressive youth justice environments and those with less progressive or punitive environments. Some examples of these dichotomized variables include purpose clause, courtroom shackling, and competency standard.

This study examined the effect of exposure to violence on juveniles. It was specifically concerned with juveniles' perceptions of violence in schools and communities and how exposure to violence served as a risk factor for juvenile drug and alcohol use and participation in other delinquent activities. It also sought to develop a more complete picture of the context and consequences of violence in schools. The data for this study were drawn from the NATIONAL SURVEY OF ADOLESCENTS IN THE UNITED STATES, 1995 (ICPSR 2833). The data were collected through a national probability telephone sample of 4,023 juveniles and their parents or guardians. The current study drew primarily on the questions that were asked about respondents' experiences witnessing violence, their own victimization, peer and family deviance, their own delinquent activities, and drug and alcohol use.

The Program of Research on the Causes and Correlates of Delinquency was initiated by the Office of Juvenile Justice and Delinquency Prevention (OJJDP) in 1986 in an effort to learn more about the root causes of juvenile delinquency and other problem behaviors. The program comprises three coordinated longitudinal studies: Denver Youth Survey, Pittsburgh Youth Study and Rochester Youth Development Study. The three Causes and Correlates projects used a similar research design. All of the projects were longitudinal investigations involving repeated contacts with youth during a substantial portion of their developmental years. Researchers conducted regular face-to-face interviews with inner-city youth considered at high-risk for involvement in delinquency and drug abuse. Multiple perspectives on each child's development and behavior were obtained through interviews with the child's primary caretaker and, in two sites, school teachers. Administrative data from official agencies, including police, schools and social services was also collected. The three research teams worked together to ensure that certain core measures were identical across the sites, including self-reported delinquency and drug use; community and neighborhood characteristics; youth, family and peer variables; and arrest and judicial processing histories. NACJD is developing a resource guide on the Causes and Correlates of Delinquency Data. It will be available soon.

This study involved a survey of juvenile court judges, chief probation officers, prosecutors, and public defenders to measure their impressions of recent policy changes and the critical needs facing today's juvenile justice system. In addition the study garnered recommendations for improving the administration and effectiveness of this system. The study's primary objective was to provide policymakers, administrators, and practitioners with actionable information about how to improve the operations and effectiveness of the juvenile justice system, and to examine the role practitioners could play in constructing sound juvenile justice policy. A total of 534 juvenile court judges, chief probation officers, court administrators, prosecutors, and defense attorneys in 44 states and the District of Columbia participated in the Assessing the Policy Options (APO) national practitioner survey. The survey consisted of four major sections: demographics, critical needs, policies and practices, and practitioner recommendations. Critical needs facing the juvenile justice system were measured by asking respondents about the policy priority of 13 issues in their respective jurisdictions; topics ranged from staff training and development to effective juvenile defense counsel to information technology. Respondents were also asked to assess the effectiveness of 17 different policies and practices -- ranging from parental accountability laws to transfer and treatment -- in achieving 6 vital juvenile justice outcomes.

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 utilized data originally collected for the project Breaking Schools' Rules (Fabelo et al., 2011), a joint project of the Public Policy Research Institute at Texas A and M University and the Council of State Governments Justice Center on which the Principal Investigator, Miner Marchbanks was a lead data analyst and co-author. Research was conducted at the Education Research Centers of the University of Texas, Austin, and Texas A and M University utilizing individual-level data from the Public Education Information Management System (PEIMS), a data system of the Texas Education Agency (TEA), and CASEWORKER, a data management system of the Texas Probation Commission (now the Texas Juvenile Justice Department). The link between these records was conducted by TEA and is described in greater detail in Fabelo et al. Through secondary analyses of these data, researchers attempted to measure the institutional and individual mechanisms that disproportionately pull and push students of color into the "school-to-prison pipeline." The project explores the predictors of school discipline contact and the resulting consequences of encountering this discipline. The project then moves to an examination of the determinants of progressing through the various decision points in a juvenile justice case. Additionally, the project explores the relationship between school strictness and various educational and juvenile justice outcomes. The "school-to-prison pipeline" (Wald and Losen, 2003) describes an "increasingly punitive and isolating" path through the education system for African American and other at-risk students. The study collection includes 1 Stata (.do) syntax file (master_final.do) that was used by the researcher(s) in secondary analyses.

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