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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 study examines several explanations for the observed racial/ethnic disparities in drug arrests, the consequences of drug arrest on subsequent drug offending and social bonding, and whether these consequences vary by race/ethnicity. The study is a secondary analysis of the National Longitudinal Survey of Youth 1997 (NLSY97).

Distributed here are the codes used for the secondary analysis and the code to compile the datasets. Please refer to the codebook appendix for instructions on how to obtain all the data used in this study.

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 secondary analysis of data from the National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) for the period 1998-2007. The analysis calculates two separate measures of the incidents of violence that occurred during burglaries. The study addressed the following research questions:

Is burglary a violent crime?

• Are different levels of violence associated with residential versus nonresidential burglaries?
• How frequently is a household member present during a residential burglary?
• How frequently does violence occur in the commission of a burglary?
• What forms does burglary-related violence take?
• Are there differences in rates of violence between attempted and completed burglaries?

What constitutes the crime of burglary in current statutory law?

• How do the federal government and the various states define burglary (grades and elements)?
• Does statutory law comport with empirical observations of what the typical characteristics of acts of burglary are?

The SPSS code distributed here alters an existing dataset drawn from pre-existing studies. In order to use this code users must first create the original data file drawn from National Crime Victimization Survey (NCVS) and National Incidents Based Reporting System (NIBRS) data from the period of 1998-2007. All data used for this study are publicly available through ICPSR. See the variable description section for a comprehensive list of, and direct links to, all datasets used to create this original dataset.

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, with assistance from the National Institute of Justice's Data Resources Program (FY2012), is a reanalysis of data from the national evaluation of the federal Serious and Violent Offender Reentry Initiative (SVORI). SVORI provided funding to 69 agencies across the United States to enhance reentry programs and coordination between corrections and community services. The national evaluation covered 16 of these sites, twelve of which provided services to the 2,054 adult ex-prisoners who are the focus of the present study.

The purpose of this study is to understand whether or not offenders receive the services they say they need, and whether the degree of 'fit' between this self-reported criminogenic need and services received is related to recidivism. This study analyzes data from the SVORI multisite evaluation to assess the potential explanations for the mixed effectiveness of reentry programs. The goal is to understand whether or not service-risk/need fit is related to successful reentry outcomes, or whether the needs of returning prisoners are unrelated to their risk of recidivism regardless of how well they are addressed. For the present study researchers obtained the SVORI (ICPSR 27101) outcome evaluation datasets from the National Archive of Criminal Justice Data (NACJD). The archive holds four separate datasets from the evaluation: Adult Males Data (Part 1, N=1,697), Adult Females Data (Part 2, N=357), Juvenile Males Data (Part 3, N=337) and official recidivism and reincarceration data (Part 4, N=35,469), which can be linked on a one-to-many basis with the individual-level data in the other three datasets. To prepare the SVORI data for analysis researchers merged Datasets 1 and 2 (Adult Males and Adult Females) and created seven separate datasets containing Waves 1 through 4 survey data, National Crime Information Center (NCIC) crime data, administrative data, and sampling weights.

This deposit to NACJD is intended to complement the existing SVORI dataset (ICPSR 27101). It contains an R syntax file to be used with the datasets contained in the ICPSR 27101 collection.

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 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 was a secondary analysis of Survey of Youth in Residential Placement (SYRP) 2003 [United States] (ICPSR 34304 - https://doi.org/10.3886/ICPSR34304.v1). This study examined which observed disparities in placement and incarceration experiences relate to disparities in other aspects of a justice-involved youth's life. Distributed here are the codes used to create the datasets and preform the secondary analysis.

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 was a secondary analysis of National Violence Against Women Survey (NVAWS) data from Violence and Threats of Violence Against Women and Men in the United States, 1994-1996 (ICPSR 2566 - http://doi.org/10.3886/ICPSR02566.v1). This analysis examined the levels and patterns of repeat and multiple violent victimization, and their effects. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information.

The primary purpose of this project was to develop and test a new large-scale approach to threat assessment that relies on objective data regarding firearm purchases. Specifically, to analyze firearm transaction records in California to better understand the firearm purchasing patterns of mass shooters and perpetrators of firearm-related crimes and to build risk prediction models to help identify individuals who might be at extreme risk for committing such crimes in the future.

The objectives of the work included:

• Objective 1: To determine whether there were unusual pre-event firearm purchasing patterns among known mass shooters with a record of purchase in California (1985-2018), as compared to the general population of registered firearm purchasers in the state of California.
• Objective 2. To determine whether perpetrators of homicide, robbery, or aggravated assault in California with a record of purchase (1985-2018) have distinct pre-event firearm purchasing patterns as compared to the general population of registered firearm purchasers in the state.
• Objective 3: To use machine learning methods to forecast who is at an elevated risk of involvement in a mass shooting based on features generated from firearm transaction records, along with criminal history records, and other key individual and community characteristics available in the administrative data.
• Objective 4: To use the same machine learning methods and predictor variables to forecast who is at elevated risk of involvement in other serious firearm violence (homicide, robbery, or aggravated assault with a firearm).

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 used secondary analysis of data from several different sources to examine the impact of increased oil development on domestic violence, dating violence, sexual assault, and stalking (DVDVSAS) in the Bakken region of Montana and North Dakota. Distributed here are the code used for the secondary analysis data; the data are not available through other public means. Please refer to the User Guide distributed with this study for a list of instructions on how to obtain all other data used in this study.

This collection contains a secondary analysis of the Uniform Crime Reports (UCR). UCR data serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information.

This collection contains a secondary analysis of the National Incident Based Reporting System (NIBRS), a component part of the Uniform Crime Reporting Program (UCR) and an incident-based reporting system for crimes known to the police. For each crime incident coming to the attention of law enforcement, a variety of data were collected about the incident. These data included the nature and types of specific offenses in the incident, characteristics of the victim(s) and offender(s), types and value of property stolen and recovered, and characteristics of persons arrested in connection with a crime incident. NIBRS collects data on each single incident and arrest within 22 offense categories, made up of 46 specific crimes called Group A offenses. In addition, there are 11 Group B offense categories for which only arrest data were reported. NIBRS data on different aspects of crime incidents such as offenses, victims, offenders, arrestees, etc., can be examined as different units of analysis. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information.

The collection includes 17 SPSS syntax files.

Qualitative data collected for this study are not available as part of the data collection at this time.

Although human identification through DNA analysis has reached a level of maturity in the Forensic Science field with regards to the sophistication of the techniques and confidence in the results, the equally important question of body fluid identification has lagged behind, and could still be considered to be in a rudimentary state. Current crime scene and in-laboratory methods utilize detection methods that exploit the properties of each biological fluid (e.g. phenolphthalin or TMB testing for blood, amylase detection for saliva, and urease tests for urine), but validated confirmatory techniques are largely limited to microscopic methods (i.e. identification of spermatozoa) or immunological methods, as seen in the widely used immunochromatographic commercial tests for blood, semen, and other biological fluids.

Thus, while there is widespread confidence in the DNA profile generated, there is often significantly less assurance in the identity of the body fluid that the DNA profile was developed from. It is common during trials for attorneys to categorically accept the STR analysis, but probe the forensic scientist on the source of the DNA that generated the profile. Because of this dichotomy, significant efforts have been made over the past fifteen years in order to develop forensic serological techniques of a more discriminatory nature.

Of late, there has been some work in the forensic science field in regards to exploring microRNAs (miRNAs) for a molecular-based, forensic body fluid identification method. MiRNAs are small structures that are 19-23 nucleotides long and regulate cellular processes through interactions with mRNA by regulating gene expression through translational suppression or cleavage of a targeted mRNA. miRNAs are highly conserved among organisms, indicating their importance in regulating biological processes. As such, some miRNAs can be consistently expressed in all human tissues, and others can be tissue-specific Because of the potential for tissue specificity, their small size and consequent inherent stability, miRNAs have been the subject of recent research interest as a potential forensic body fluid identification technique. They are found in extracellular fluids, and thus the application of unique miRNAs for forensically relevant body fluids is a distinct possibility.

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 examines the increase in firearm background checks and the increase in firearm transfer and permit application denials. The study is a secondary analysis, primarily of data already available through public sources. Distributed here are the code used for the secondary analysis and the data not otherwise available through other public means. Please refer to the readme file, distributed with this study, for a list of instructions on how to obtain all other data used in this study.

Although the placement of school resource officers (SROs) in schools is widespread, little is known about its effectiveness in preventing school crime or the extent to which placement may harm schools and students (e.g., by facilitating the formal processing of minor offenses). The Study of Police in Schools sought to strengthen the evidence base on the effects of SROs on schools and students. Specifically, this study addressed two research questions: (1) What are the effects of SROs on school disciplinary offenses and disciplinary actions? and (2) Do the effects of SROs vary by implementation, school, and student characteristics?

The study focused on public secondary schools that increased SRO staffing through the 2013 and 2014 Department of Justice's Community Policing Services (COPS) Hiring Program (CHP) and on matched comparison schools that neither received SROs funded by CHP grants nor increased SRO staffing at the same time as treatment schools. Using longitudinal analyses of monthly school-level administrative data, the study compared the treatment and comparison schools on disciplinary incidents/offenses and actions. In addition, the study analyzed data from web surveys of school administrators and SROs at the sample schools, and from interviews with law enforcement officials at the agencies that placed the SROs in the schools. To assess the extent to which the presence of SROs affects the measurement of school crime, research staff also collected and analyzed qualitative information from interviews with school administrators in select treatment schools.

To conduct the study, the following data sources were collected or obtained:

1. Linking and SRO program information data files (1 file for CA, 1 file for FL)
2. California Department of Education administrative data files (5 files)
3. SRO web survey data files (1 file for CA, 1 file for FL)
4. School administrator web survey data files (1 file for CA, 1 file for FL)
5. Law enforcement agency interview data files (1 file for CA, 1 file for FL)
6. Moderator data file (1 file for CA)
7. School administrator interview data file (1 file for CA)

Despite public attention to the problem of human trafficking, it has proven difficult to measure the problem. Improving the quality of information about human trafficking is critical to developing sound anti-trafficking policy. In support of this effort, in 2013 the Federal Bureau of Investigation incorporated human trafficking offenses in the Uniform Crime Reporting (UCR) program. Despite this achievement, there are many reasons to expect the UCR program to underreport human trafficking. Law enforcement agencies struggle to identify human trafficking and distinguishing it from other crimes. Additionally, human trafficking investigations may not be accurately classified in official data sources. Finally, human trafficking presents unique challenges to summary and incident-based crime reporting methods. For these reasons, it is important to understand how agencies identify and report human trafficking cases within the UCR program and what part of the population of human trafficking victims in a community are represented by UCR data. This study provides critical information to improve law enforcement identification and reporting of human trafficking.

Coding criminal incidents investigated as human trafficking offenses in three US cities, supplemented by interviews with law and social service stakeholders in these locations, this study answers the following research questions:

• How are human trafficking cases identified and reported by the police?
• What sources of information about human trafficking exist outside of law enforcement data?
• What is the estimated disparity between actual instances of human trafficking and the number of human trafficking offenses reported to the UCR?

This project was designed to examine two research questions:

1. Does living in a county with a larger or growing share of undocumented immigrants increase personal non-fatal victimization risk?
2. Does the presence of selected immigration policies within U.S. communities--the 2008 Secure Communities program, Section 287(g) of the 1996 Immigration and Nationality Act task force agreements and jail enforcement programs, or "sanctuary" anti-detainer policies--and the actual immigration enforcement applied impact personal non-fatal victimization risk?

These questions were addressed with a longitudinal multilevel dataset that integrated publicly accessible county-level data on legal and undocumented immigrant concentration, immigration policies, and immigration law enforcement actions to individual-level panel data on victimization from the restricted-use, area-identified, 2005-2015 National Crime Victimization Survey (NCVS). Contextual data on social, economic, and racial-ethnic indicators at the county- and tract-level were also used.

This collection includes analytic datasets drawn from publicly accessible secondary sources and syntax files containing code for variable construction. The restricted NCVS data will not be archived at ICPSR.

In October 2013, the Pacific Institute for Research and Evaluation (PIRE), in partnership with Big Brothers Big Sisters of Kentuckiana (BBBS-KY), was funded by the Office of Juvenile Justice and Delinquency Prevention (OJJDP) to implement a mentoring research best practices project that explored whether three types of parent/guardian level variables (psychosocial parent/family characteristics, parent engagement in the mentoring match, and parenting style) influence match quality, match length, and youth outcomes.

This study was designed to describe these factors, as well as investigate how these factors impact match length, match strength, and youth program outcomes. Data to inform both objectives was collected using a longitudinal multimode approach with youth, mentors and parents in the BBBS-KY program in the metro Louisville area. In addition, data from 16 local school districts provided measures of academic performance, school attendance, and disciplinary suspensions. Data were collected at multiple time points from youth, volunteer mentors, and parents/guardians. These data included BBBS-America standard surveys (Youth Outcomes Survey, and Volunteer and Youth Strength of Relationship Surveys). PIRE supplemented the standard BBBS data collection efforts with project-specific baseline volunteer mentor survey and several formative and outcome based inserts to supplement the data that was regularly collected from youth and mentors. The PIRE and BBBS-KY teams also created a project-specific parent/guardian survey to better understand the impact of parental factors on match dynamics and youth mentoring program outcomes. Due to low literacy levels of parents/guardians, this survey was administered as a mixed-mode, audio-computer assisted interview (ACASI). Additional data sources for this study included data from (a) coding of qualitative case review notes for selected aspects of matches by BBBS-KY match support specialists, (b) academic data collected from school districts, and (c) data collected on general match characteristics (e.g., match closure status) collected by BBBS-KY as part of their standard business operations. Most measures were collected early in the match (either match formation or three months into the match) and at 12 months into the match.

How is the process of radicalization understood over time? Do current radicalization to violence differ from earlier waves? How can these understandings be utilized to prevent radicalization to violence and--equally important--understand the reach and impact of programs designed to do so? The overall goal of this project was to pursue the following aims:

• Aim 1: To understand how adversity and social bonds relate to changes in openness to violent extremism over time.
• Aim 2: To evaluate experience and perception of, and the effectiveness of, Countering Violent Extremism (CVE) activities.
• Aim 3: To evaluate mechanisms of change in violent extremism.
• Aim 4: To understand similarities/ differences in experiences and/or histories of Somali youth who joined Al-Shabab vs. those known to have been killed in Syria, fighting with ISIS and other terrorist groups.

The above aims were accomplished through extending an ongoing longitudinal research program to span 5 years, and expanding a psychological autopsy sample to include Somali youth who have left Minneapolis and been killed fighting with ISIS and other terrorist groups in Syria. Data collection for the longitudinal study consisted of conducting an additional wave of structured interviews with Somali youth (between the ages of 21-33); interviews included assessments of structural adversity (resettlement hardships, trauma exposure, and discrimination), social factors (connection to the resettlement community and/or Somali diaspora community, internet use, and level of acculturation) delinquency, gang involvement, civic engagement, and support for legal and illegal (violent) actions in support of political change. The researchers used latent transition analysis (LTA), generalized estimating equation modeling, and linear regression modeling to accomplish Aims 1-3. Aim 4 was accomplished by using a combination of open source data analysis, psychological autopsy and case analysis methodology. The researchers expanded our current in-depth case studies of Somali youth who left Minneapolis to join al-Shabaab (N = 23, males aged 22-30) to include those who joined ISIS or Al-Nusra (N=4, males aged 18-29). Research questions associated with Aim 4 were analyzed using a psychological autopsy method of developing case histories. Case histories were coded for themes and analyzed for convergence or divergence with case histories of youth who joined Al-Shabab. Scholarly products include manuscripts in journals relevant to criminal justice, policy briefs, and interim and final reports. This project builds on partnerships between Boston Children's Hospital, Somali communities, and Georgia State University.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) in collaboration with the United States Consumer Product Safety Commission (CPSC) expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (EDs). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data are made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, the final edited data are released annually on a public use data file for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC) in collaboration with the United States Consumer Product Safety Commission (CPSC) expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (EDs). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data are made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, the final edited data are released annually as a public use data file for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Commercial sexual exploitation (CSE) is an increasingly urgent problem for criminal justice systems in the United States. Despite the staggering individual and societal consequences of CSE, evidence-based prevention and intervention programs are profoundly lacking. This study used a quasi-experimental, mixed methods, longitudinal follow-up design to evaluate a service provision program for CSE survivors or those identified as high-risk for CSE, My Life My Choice (MLMC). Researchers followed youth who received MLMC services from baseline to multiple follow-up points to see how they progressed over time in terms of building up resistance to being sexually exploited.

Youth received one of two different type of MLMC services. One group (Source 1) received one-on-one survivor mentoring, otherwise known as "tertiary prevention." Participants in this program are paired with mentors who have been trained and free from CSE for at least five years. Mentors provide long-term and consistent emotional support to exploited youth or those MLMC believes are at high-risk for exploitation. The Source 1 youth were recruited only from Massachusetts. They participated in quantitative and qualitative data collection at baseline, six months post-baseline, and 12 months post-baseline.

A second group (Source 2) received 3-10 sessions of a psychoeducational prevention group following the MLMC curriculum, otherwise known as "secondary prevention." These groups are led by trained facilitators and are intended for youth at high-risk for exploitation. Participants are taught about sexual exploitation, healthy relationships, sexual health, and how to find help. Source 2 youth received MLMC services in Massachusetts, Florida, New Jersey, or Connecticut. They participated in quantitative data collection at baseline, time of the last group session, and six months post-baseline.

Measured outcomes included instances of sexual exploitation in the past six months, frequency and type of substance use, partner abuse victimization, and housing stability. Researchers hypothesized that, among the secondary prevention group, youth who chose to interact with MLMC staff more often (in terms of attending educational sessions) would score higher on desired outcomes than those frequently absent or who do not interact with staff as often. Among the tertiary prevention group, researchers hypothesized that those who participated would demonstrate improved outcomes from baseline to six months and baseline to 12 months.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in U.S. hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals, which were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS All Injury Program (NEISS AIP).

The NEISS AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of six beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.

Beginning in July 2000, the National Center for Injury Prevention and Control (NCIPC), and Centers for Disease Control and Prevention (CDC), in collaboration with the United States Consumer Product Safety Commission (CPSC), expanded the National Electronic Injury Surveillance System (NEISS) to collect data on all types and causes of injuries treated in a representative sample of United States hospitals with emergency departments (ED). This system is called the NEISS-All Injury Program (NEISS-AIP).

The NEISS-AIP is designed to provide national incidence estimates of all types and external causes of nonfatal injuries and poisonings treated in United States hospital EDs. Data on injury-related visits are being obtained from a national sample of 66 out of 100 NEISS hospitals that were selected as a stratified probability sample of hospitals in the United States and its territories with a minimum of 6 beds and a 24-hour ED. The sample includes separate strata for very large, large, medium, and small hospitals, defined by the number of annual ED visits per hospital, and children's hospitals. The scope of reporting goes beyond routine reporting of injuries associated with consumer-related products in CPSC's jurisdiction to include all injuries and poisonings. The data can be used to (1) measure the magnitude and distribution of nonfatal injuries in the United States, (2) monitor unintentional and violence-related nonfatal injuries over time, (3) identify emerging injury problems, (4) identify specific cases for follow-up investigations of particular injury-related problems, and (5) set national priorities. A fundamental principle of this expansion effort is that preliminary surveillance data will be made available in a timely manner to a number of different federal agencies with unique and overlapping public health responsibilities and concerns. Also, annually, the final edited data are released as public use data files for use by other public health professionals and researchers. NEISS-AIP data on nonfatal injuries were collected from January through December each year except the year 2000 when data were collected from July through December (ICPSR 3582).

NEISS AIP is providing data on approximately over 500,000 cases annually. Data obtained on each case include age, race/ethnicity, gender, principal diagnosis, primary body part affected, consumer products involved, disposition at ED discharge (i.e., hospitalized, transferred, treated and released, observation, died), locale where the injury occurred, work-relatedness, and a narrative description of the injury circumstances. Also, major categories of external cause of injury (e.g., motor vehicle, falls, cut/pierce, poisoning, fire/burn) and of intent of injury (e.g., unintentional, assault, intentional self-harm, legal intervention) are being coded for each case in a manner consistent with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coding rules and guidelines. NEISS has been managed and operated by the United States Consumer Product Safety Commission since 1972 and is used by the Commission for identifying and monitoring consumer product-related injuries and for assessing risk to all United States residents. These product-related injury data are used for educating consumers about hazardous products and for identifying injury-related cases used in detailed studies of specific products and associated hazard patterns. These studies set the stage for developing both voluntary and mandatory safety standards.

Since the early 1980s, CPSC has assisted other federal agencies by using NEISS to collect injury- related data of special interest to them. In 1990, an interagency agreement was established between NCIPC and CPSC to (1) collect NEISS data on nonfatal firearm-related injuries for the CDC Firearm Injury Surveillance Study; (2) publish NEISS data on a variety of injury-related topics, such as in-line skating, firearms, BB and pellet guns, bicycles, boat propellers, personal water craft, and playground injuries; and (3) to address common concerns. CPSC also uses NEISS to collect data on work-related injuries for the National Institute of Occupational Safety and Health (NIOSH), CDC. In 1997, the interagency agreement was modified to conduct the three-month NEISS All Injury Pilot Study at 21 NEISS hospitals (see Quinlan KP, Thompson MP, Annest JL, et al. Expanding the National Electronic Injury Surveillance System to Monitor All Nonfatal Injuries Treated in US Hospital Emergency Departments. Annals Emerg. Med. 1999;34:637-643.) This study demonstrated the feasibility of expanding NEISS to collect data on all injuries. National estimates based on this study indicated product-related injuries that fall into CPSC's jurisdiction accounted for approximately 50 percent of injuries treated in U.S. hospital EDs. The study also indicated that NEISS is a cost-effective system for capturing data on all injuries treated in U.S. hospital EDs. The NEISS-AIP provides an excellent data source for monitoring national estimates of nonfatal injuries over time. Analysis and dissemination of these surveillance data through the ICPSR, and Internet publications will help support NCIPC's mission of reducing all types and causes of injuries in the United States, as well as assist other federal agencies with responsibilities for injury prevention and control.