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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 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.

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 study was designed to begin to build a knowledge base to address the challenges of crossover youth in Maryland - those involved at some point in their lives in the dependency and delinquency systems. Employing a mix of qualitative and quantitative methods, the research focused on the five most populous jurisdictions in the state, Baltimore City, and Anne Arundel, Montgomery, Prince George's, and Baltimore Counties.

This collection includes 4 SPSS data files:

1. CINA BCity_Archive_final_Corrected-ICPSR.sav (n=400; 64 variables)
2. CY Stakeholder Survey_Archive_final_Corrected_Update2016-ICPSR.sav (n=164; 302 variables)
3. Delinquency_Risk_Archive_final_Corrected_Update2016-ICPSR.sav (n=1,127; 62 variables)
4. Needs_Archive_final-ICPSR.sav (n=700; 67 variables)

Data from interviews with 26 officials in state and local agencies to collect information on policies and practices affecting crossover youth in Maryland are not available as part of this collection.

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.

This study tested a model of individual, familial, and peer variables that additively and synergistically increased or decreased the risk for sexual and teen dating violence based on bullying experiences in early adolescence. The study surveyed 1,162 students from three cohorts in four Midwestern middle schools, who were then followed into three high schools. Five waves of surveys collected information about the level of violence in student homes with parents and siblings or with other children, physical abuse, sexual abuse, exposure to domestic violence, frequency of bullying, self-reported delinquency, and exposure to delinquent friends during the middle school years. Waves six and seven were collected during high school and sexual violence and teen dating violence measures were added to the surveys.

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 collection features secondary analyses of restricted-use data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a nationally representative longitudinal study of a sample of U.S. adolescents who were in grades 7-12 in the 1994-95 school year, who were interviewed at three key developmental junctures from adolescence to young adulthood. Self-reported data were used for both maltreatment (measured at the latter two time points) and delinquent or criminal behaviors (measured at all three time points). Linear mixed-effects analyses were used to model growth curves of the frequency of violent and non-violent offending, from ages 13 to 30. Next, maltreatment frequency was tested as a predictor, and then potential protective factors (at peer, family, school, and neighborhood levels) were tested as moderators. Sex, race/ethnicity, and sexual orientation were also tested as moderators of delinquent or criminal offense frequency, and as moderators of protective effects.

The study collection includes 1 Stata (.do) syntax file (AddHealthOJJDPAnalysis_StataSyntax.do) that was used by the researcher in secondary analyses of restricted-use data. The restricted archival data from the Add Health survey series are not included as part of this release.

This multi-year study investigated the causes and consequences of school victimization (e.g., property theft, minor assault, bullying, cyberbullying) as well as factors contributing to safe learning environments (e.g., school disciplinary practices, students' willingness to report dangerous behavior, availability and utilization of victim services). The project includes three annual surveys of students initially enrolled in 12 middle schools in St. Louis County; a summer component consisting of semi-structured interviews with a subsample of 197 students, including in-depth interviews with 37 students the following summer; and two surveys of school personnel. There are three areas of interest that guide this project and are associated with better understanding of the root causes and consequences (i.e., correlates) of school violence:

(1) Identification of patterns of school violence: the principal investigators surveyed two student cohorts over three years as they transitioned from middle to high school (7th/8th grades to 9th/10th grades)

(2) Identification of correlates of school violence relying on multiple sources, including: the individual (e.g., gang membership, attitudes toward violence), the school and school climate (e.g., willingness to report, awareness and utilization of victim services, views on the procedural justice of school disciplinary practices, gang presence at the school) and the situation (e.g., where, when, and with whom violence occurs)

(3) A specific examination of bullying and cyberbullying as unique forms of school violence with regard to their correlates stemming from each source identified above

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. The DYS is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high official crime rates (top one-third) were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.

The survey respondents include 807 boys and 721 girls and include White (10 percent), Latino (45 percent), and African American (33 percent) youth, as well as 12 percent from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992, and annually from 1995 until 1999. The age range covered by the study is from age 7 through age 26.

The dataset contains 1,528 cases and 22,081 variables.

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. It is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. DYS variables also address family demographics, neighborhood characteristics, parenting, and involvement in social roles.

The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high (top one-third) official crime rates were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households.

The survey respondents include 807 boys and 721 girls and include White (10%), Latino (45%), and African American (33%) youth, as well as 12% from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992 (waves 1-5), annually from 1995 until 1999 (waves 6-10), and in 2003 (wave 11). The study covers an age range of 7 through 26.

Using data from all three waves of the Project on Human Development in Chicago Neighborhoods (PHDCN), this secondary data analysis examined the long-term effects of intimate partner violence (IPV) exposure during childhood and adolescence on subsequent externalizing behaviors (i.e., delinquency, violence, and substance use related offending).

The research questions for this study were as follows:

1. Are there significant differences in the mean scores of different externalizing behaviors (measured as "offending" in the present study) in any of the three PHDCN waves between youth exposed to IPV and youth not exposed to IPV?
2. Are there distinct developmental trajectories of externalizing behaviors among youth exposed to IPV when compared to those not exposed to IPV?
3. How do different individual- and neighborhood-level variables act in predicting the developmental paths of externalizing behaviors among youth exposed to IPV?

Propensity score matching (PSM) was employed to match individuals reporting IPV exposure with those not exposed to IPV on key variables. Longitudinal latent class analyses (LLCA) were utilized to estimate the longitudinal developmental trajectories of externalizing behaviors independently for IPV and non-IPV exposed males and females and compared to each other. Multinomial logistic regression models were estimated separately for males and females exposed to IPV during their childhoods to examine the effect of different hypothesized class membership predictors.

This collection contains a master dataset primarily sourced from Emery's (2006) data augmentation along with key variables from all three waves from the PHDCN Longitudinal Cohort Study, cohorts 12 and 15 (DS1); datasets constructed solely for multinomial logistic regressions for youth exposed to IPV, separated by sex (DS2 and DS3); data for the final LLCA models separated by sex and exposure to IPV (DS4 to DS7); and probabilities and latent classes created using Mplus (DS8 to DS9) that can be merged to the multinomial regression data using the SUBID variable. Additionally, syntax for variable and model constructions, as well as Mplus output, have been included as a zip package. Please refer to the P.I. documentation for more information.

Healthy Families New York (HFNY), which was based on the Healthy Families America (HFA) model, was established as a strengths-based, intensive home visitation program with the explicit goals of promoting positive parenting skills and parent-child interaction; preventing child abuse and neglect; supporting optimal prenatal care, and child health and development; and improving parent's self-sufficiency.

In 2000, a randomized controlled trial was initiated at three sites with the HFNY home visiting program. Families eligible for HFNY at each site were randomly assigned to either an intervention group that was offered HFNY services or to a control group that was given information on and referral to appropriate services other than home visiting. Baseline interviews were conducted with 1,173 of the eligible women (intervention, n=579; control, n=594), and follow up interviews at Years 1, 2, and 3. In addition to data gathered during the follow up interviews, information regarding study participants' involvement in reports of child maltreatment was also extracted and coded from Child Protection Services records.

For the current study, mothers in both the intervention and control groups were re-interviewed at the time of the target child's seventh birthday. Interviews (Dataset 1: Mother Interview Data, n=942) included information about parenting, the child, earnings, and household composition. Interviewers also completed face-to-face assessments (Dataset 2: Target Child Interview Data) with 800 of the children who were born and reached the age of 7 at the time of interview. The target child interviews assessed children's receptive vocabulary skills, emotional health, self-regulatory abilities, and problem behaviors. The research team also extracted or obtained administrative data pertaining to Child Protective Service reports, foster care placements, federal and state supported benefits, and programs services and costs (Datasets 3-8).

This study was a longitudinal extension that examined trajectories of adult offending in a sample of women who participated in a randomized intervention trial aimed at reducing conduct problems and delinquency during adolescence. In the original study, girls ages 13 to 17 who had been referred for out-of-home placement due to chronic delinquency were randomly assigned to participate in services as usual (group care; GC) or in Treatment Foster Care Oregon (TFCO), previously known as Multidimensional Treatment Foster Care. TFCO is an evidence-based intervention designed as an alternative to residential care or incarceration for juvenile justice-involved adolescents and has been found to be effective in reducing youth delinquency, deviant peer affiliation, adolescent pregnancy, as well as longer term effects in reducing young adult criminal involvement, depression, suicidality, and substance use problems. The current study further evaluated outcomes in this sample of women at least six years after the last follow-up by examining trajectories of offending and involvement with the criminal justice system, health-risking behaviors, trauma, and long-term health outcomes, including biological indicators.

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 is an analysis of 13 waves of data retrieved from the National Longitudinal Survey of Youth 1997 survey (NLSY97) in order to examine the influence of marriage on immigrant offending trajectories from adolescence to young adulthood. There were three specific research questions considered:

1. Are second generation immigrants entering into marriage at a slower pace than their first generation immigrant peers?
2. What role does marriage play in understanding immigrant offending?
3. Is the relationship between marriage and offending affected by immigrant generation or country/region of birth (i.e., nativity)?

Distributed here is the code used for the secondary analysis and the code to compile the datasets.

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 investigators if further information is needed.

The current study subjected the body of empirical literature on school violence to a meta-analysis or "quantitative synthesis", to determine the key individual-, school-, and community-level factors that influence violence in school. The data are based on 693 studies of school violence that contributed a total of 8,551 effect size estimates--3,840 for delinquency/aggression (44.91%) and 4,711 for victimization (55.09%). These effect sizes were drawn from 545 independent data sets and 68 different countries. The majority of effect size estimates (56.22%) were based on U.S. samples. A total of 31 different predictors of school violence were coded at the individual, institutional, and community levels.

The collection includes one Stata file, Meta-Analysis-Data-for-NACJD.dta (n=8,551; 9 variables).