Contributors: Pebley, Anne R., Sastry, Narayan

Date: 2019-04-08

... This study includes a restricted data file, version 2.5, for Wave 2 of the L.A.FANS data. To compare L.A.FANS restricted data, version 2.5 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 2 (study 2). This file adds only a few variables to the L.A.FANS, Wave 2 public use files. Specifically, it adds the census tract and block number for the tract each respondent lives in. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 2 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 2.5 restricted data file. A Users' Guide which explains the design and how to use the samples are available for Wave 2 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides ( Wave 1 and Wave 2) RAND Documentation Reports page

Contributors: Pebley, Anne R., Sastry, Narayan

Date: 2019-04-08

... This study includes a restricted data file, version 3, for Wave 2 of the L.A.FANS data. To compare L.A.FANS restricted data, version 3 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 2 (study 2). This file adds only a few variables to the L.A.FANS, Wave 2 public use files. Specifically, it adds the census tract and block number for the tract each respondent lives in and geographic coordinates data for a number of locations reported by the respondent (including home, grocery store, place of work, place of worship, schools, etc.). It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 2 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 3 restricted data file. A Users' Guide which explains the design and how to use the samples are available for Wave 2 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides ( Wave 1 and Wave 2) RAND Documentation Reports page

Contributors: Pebley, Anne R., Sastry, Narayan

Date: 2019-04-08

... This study includes a restricted data file for Wave 2 of the L.A.FANS data. To compare L.A.FANS restricted data, version 1 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 2 (study 2). This file adds only a few variables to the L.A.FANS, Wave 2 public use files. Specifically, it adds a "pseudo-tract ID" which is a number from 1 to 65, randomly assigned to each census tract (neighborhood) in the study. It is not possible to link pseudo-tract IDs in any way to real tract IDs or other neighborhood characteristics. However, pseudo-tract IDs permit users to conduct analyses which take into account the clustered sample design in which neighborhoods (tracts) were selected first and then individuals were sampled within neighborhoods. Pseudo-tract IDs do so because they identify which respondents live in the same neighborhood. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 2 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 1 restricted data file. A Users' Guide which explains the design and how to use the samples are available for Wave 2 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides ( Wave 1 and Wave 2) RAND Documentation Reports page

Contributors: Pebley, Anne R., Sastry, Narayan

Date: 2019-04-08

... This study includes restricted data file, version 2, for Wave 1 of the L.A.FANS data. To compare L.A.FANS restricted data, version 2 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 1 (study 1). This file adds only a few variables to the L.A.FANS, Wave 1 public use files. Specifically, it adds the census tract number for the tract each respondent lives in. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 1 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 2 restricted data file. A Users' Guide which explains the design and how to use the samples are available for Wave 1 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides ( Wave 1 and Wave 2) RAND Documentation Reports page

Contributors: Teplin, Linda A.

Date: 2019-04-04

... This study contains data from the sixth follow-up interview of the Northwestern Juvenile Project (NJP), a longitudinal assessment of alcohol, drug, or mental service treatment needs of juvenile detainees. The sixth follow-up occurred approximately 8 years after the baseline interview and focused on studying the development and persistence of psychiatric disorders, related predictive variables, patterns of drug use, and other risk behaviors. The project's aims included studying (1) development and persistence of alcohol, drug, and mental disorders and (2) pathways and patterns of risky behaviors. Changes in disorders over time were studied (including onset, remission, and recurrence), comorbidity, associated functional impairments, and the risk and protective factors related to these disorders and impairments. This study addressed patterns and sequences of the development of drug use and related variables, focusing on gender differences, racial/ethnic differences, the antecedents of these risky behaviors (risk and protective factors), and how these behaviors were interrelated. The original sample included 1829 randomly selected youth, 1172 males and 657 females, then 10 to 18 years old, enrolled in the study as they entered the Cook County Juvenile Temporary Detention Center from 1995 to 1998. Among the sample were 1005 African Americans, 524 Hispanics, and 296 non-Hispanic white respondents. Participants were tracked from the time they left detention. All participants were eligible for the sixth follow-up interview. Re-interviews were conducted regardless of where respondents were living when their follow-up interview was due: in the community, correctional settings, or by telephone if they lived farther than two hours from Chicago.

Contributors: Teplin, Linda A.

Date: 2019-04-04

... This study contains data from the fifth follow-up interview of the Northwestern Juvenile Project (NJP), a longitudinal assessment of alcohol, drug, or mental service treatment needs of juvenile detainees. The fifth follow-up occurred approximately 6 years after the baseline interview and focused on studying the development and persistence of psychiatric disorders, related predictive variables, patterns of drug use, and other risk behaviors. The project's aims included studying (1) development and persistence of alcohol, drug, and mental disorders and (2) pathways and patterns of risky behaviors. Changes in disorders over time were studied (including onset, remission, and recurrence), comorbidity, associated functional impairments, and the risk and protective factors related to these disorders and impairments. This study addressed patterns and sequences of the development of drug use and related variables, focusing on gender differences, racial/ethnic differences, the antecedents of these risky behaviors (risk and protective factors), and how these behaviors were interrelated. The original sample included 1829 randomly selected youth, 1172 males and 657 females, then 10 to 18 years old, enrolled in the study as they entered the Cook County Juvenile Temporary Detention Center from 1995 to 1998. Among the sample were 1005 African Americans, 524 Hispanics, and 296 non-Hispanic white respondents. Participants were tracked from the time they left detention. All participants were eligible for the fifth follow-up interview. Re-interviews were conducted regardless of where respondents were living when their follow-up interview was due: in the community, correctional settings, or by telephone if they lived farther than two hours from Chicago.

Contributors: Morenoff, Jeffrey D., Harding, David J.

Date: 2019-03-28

... 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 files available with this collection and consult the investigator(s) if further information is needed. The Michigan Study of Life After Prison examined the association between neighborhood context and outcomes related to employment and recidivism among the cohort of former prisoners released on parole from Michigan state prisons in one calendar year (2003), controlling for pre-incarceration neighborhood context, local labor market conditions, and a large set of individual characteristics. The primary goals of this study were to answer two questions: (1) "Are ex-offenders who are released to more disadvantaged neighborhoods (those with greater poverty, unemployment, residential turnover, etc.) more likely to recidivate?" (2) "Are ex-offenders who are released to more disadvantaged neighborhoods less likely to gain stable employment?" This research sought to supplement available literature on prisoner reentry and criminal desistance, which the researchers posit existing literature has largely ignored the role that neighborhoods play in shaping the recidivism and employment of returning prisoners. The 31 data files included as part of this collection are as follows: Cleaned Data Files: casenotearrestsreps1-4_ICPSR-EDITED.dta: 4,932 Cases, 12 Variables casenotearrestsreps5-8_ICPSR-EDITED.dta: 5,302 Cases, 13 Variables casenotearrestsrep9_ICPSR-EDITED.dta: 2,321 Cases, 13 Variables casenoteemploymentreps1-4_ICPSR-EDITED.dta: 4,871 Cases, 28 Variables casenoteemploymentreps5-8_ICPSR-EDITED.dta: 4,754 Cases, 23 Variables casenoteemploymentrep9_ICPSR-EDITED.dta: 2,610 Cases, 23 Variables cleanedcasenoteaddressesreps1-8_ICPSR-EDITED.dta: 50,207 Cases, 72 Variables cleanedcasenoteaddressesrep9_ICPSR-EDITED.dta: 10,309 Cases, 69 Variables preprisonaddress_all_ICPSR-EDITED.dta: 5,183 Cases, 30 Variables preprisonaddress_all_rep9_ICPSR-EDITED.dta: 1,017 Cases, 63 Variables postprisads_ICPSR-EDITED.dta: 11,064 Cases, 41 Variables cleaned-demographics-population_ICPSR-EDITED.dta: 11,064 Cases, 57 Variables simplecrimhistory.dta: 11,064 Cases, 4 Variables popSAhistory.dta: 11,064 Cases, 8 Variables deathdates_ICPSR-EDITED.dta: 308 Cases, 3 Variables popprisonenterdates.dta: 11,064 Cases, 7 Variables discharge dates.dta: 7,369 Cases, 5 Variables parole and release dates for pop.dta: 11,064 cases, 3 Variables mdoc_recidivism_measures.dta: 11,064 Cases, 6 Variables recidivism dates from transits.dta: 11,064 Cases, 8 Variables recidivism from bir.dta: 11,064 Cases, 3 Variables sample marker.dta: 3,689 Cases, 2 Variables samplereps.dta: 3,689 Cases, 2 Variables tta_rsid_rep.dta: 1,363 Cases, 2 Variables Contextual Data Files: Complete.data.file.dta: 2,757 Cases, 1,055 Variables countyemployment.dta: 10,956 Cases, 6 Variables places.dta: 5,004 Cases, 5 Variables TractDataInterpolated-long.dta: 57,036 Cases, 50 Variables TractDataInterpolated-wide.dta: 2,716 Cases, 1,009 Variables tractscales2000.dta: 2,716 Cases, 49 Variables urbanicity + density.dta: 2,716 Cases, 9 Variables Demographic variables included: gender, race, educational attainment, age, employment, and marital status.

Contributors: Myrstol, Brad A.

Date: 2019-03-28

... 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 set out to understand the specific contributions Alaska's village public safety officers (VPSOs) make to the criminal justice responses to violence committed against Alaska Native and American Indian women in Alaska's tribal communities. More specifically, the goal of this study was to empirically document and assess the impact Alaska's VPSO program has on the investigation and prosecution of those who commit acts of sexual and domestic violence against Alaska Native and American Indian women in Alaska's tribal communities. The data collected for this study were compiled from detailed case record reviews of a random sample of sexual assault, sexual abuse of a minor, and domestic violence incidents investigated by the Alaska State Troopers (AST) and closed between January 1, 2008 and December 31, 2011. Data pertaining to case-level (e.g., year and month of incident report and case closure, time to report) and incident-level (e.g., assault location, weapon use, assaultive behaviors) characteristics were collected, as were demographic data describing suspects, victims, and witnesses/third parties. The study also collected data detailing suspect and victim alcohol/drug use and intoxication, injuries sustained by victims, victim resistance strategies and behaviors, and victim disclosures, among other measures. Additional charging and case resolution (referral, prosecution, conviction) data were also compiled. Finally, the study collected detailed data on the activities and roles played by VPSOs in investigations, as well as additional follow-up activities and services provided to victims. In total, 683 sexual assault (SA) and sexual abuse of a minor (SAM) and 982 domestic violence (DV) case records were coded and analyzed. The study collections includes 6 Stata (.dta) files. The zip file includes 2013-VW-CX-0001_DV_CASE.dta (n=982; 127 variables), 2013-VW-CX-0001_DV_CHARGE.dta (n=3711; 23 variables), 2013-VW-CX-0001_DV_INDIV.dta (n=3747; 105 variables), 2013-VW-CX-0001_SA_CASE.dta (n=683; 133 variables), 2013-VW-CX-0001_SA_CHARGE.dta (n=1060; 24 variables), 2013-VW-CX-0001_SA_INDIV.dta (n=3140; 112 variables).

Contributors: Bill and Melinda Gates Foundation

Date: 2019-03-28

... In 1999, the Bill and Melinda Gates foundation started the Gates Millennium Scholars Program (GMS), a 20-year initiative which intends to expand access to higher education for high achieving, low-income minority students. In addition to its academic objectives, GMS also has the goal of creating future leaders in minority groups. The program is administered by the United Negro College Fund (UNCF). Awardees can receive the scholarship for up to 5 years as an undergraduate and 4 years as a graduate student. The scholarship is renewable through graduate school in math, science, engineering, library science, and education. To be eligible for GMS, students had to meet several qualifications. They must: (1) be of African American, American Indian/Alaska Native, Asian American, Hispanic/Latino, or Pacific Islander background; (2) be full-time students entering college or university; (3) have a GPA of at least 3.3 on a 4.0 scale; (4) be eligible for Pell Grants; and (5) be leaders in community service, extracurricular, or other activities. These data include selected variables from administrative data as collected by UNCF. There are 5 major data sources from which these data were compiled, which include: United Negro College Fund (UNCF) Administrative Databases; National Student Clearing House (NSC); Higher Education Directory (HED); Free Application for Federal Student Aid (FAFSA); and Institutional Student Information Records (ISIRs). These data were collected to represent the aggregation of administrative data utilized throughout the GMS cohort-level data. The data was structured in a way to allow analysis and utility beyond the administrative data's original purpose. The initial release includes only records for GMS scholarship recipients and one higher education institution per person. Subsequent releases will include information for non-recipient finalists and the full spectrum of institutions attended.

Contributors: United States Department of Health and Human Services. Administration for Children and Families. Office of Child Care

Date: 2019-03-25

... This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee.