This dataset, taken from the database known as the ICPSR Bibliography of Data-related Literature, is a collection of citations to publications. Each citation record represents one publication that is associated with one or more ICPSR studies and/or series of studies. For the dates represented and the number of records in the dataset, see the ReadMe file.The ICPSR Bibliography was created to be a resource for ICPSR data users, especially as a searchable database to discover reusable research data via the citing literature. This dataset is a static representation of that database, downloaded at one point in time. Before using this dataset to conduct analyses, researchers are encouraged look at the ReadMe file, and to contact ICPSR staff familiar with the ICPSR Bibliography at icpsrbibliography@umich.edu.

To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to icpsr-addep@umich.edu. The instructions are in the form. This study was conducted at the Medical University of South Carolina over the span of one year to delineate the cause/effect relationship between neural output and the biomechanical functions being executed in walking in post-stroke patients. Kinematic, kinetic, and electromyography (EMG) data were collected from 27 post-stroke subjects and from 17 healthy control subjects. Each subject walked on a treadmill at their self-selected walking speed in addition to a randomized block design of four steady-state mobility capability tasks: walking at maximum speed, and walking at self-selected speed with maximum cadence, maximum step length, and maximum step height.

The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 2 interviews were conducted from August 2010 through May 2011, during which Round 1 Respondents were re-interviewed. An attempt was also made to interview individuals who were sampled in Round 1 but declined to participate. In addition, spouses or co-resident partners were also interviewed using the same instruments as the main respondents. This process resulted in 3,377 total respondents. The following files constitute Round 2: Core Data, Disposition of Round 1 Partner Data, Social Networks Data, Social Networks Update Data, Partner History Data, Partner History Update Data, Medications Data, Proxy Data, and Sleep Statistics Data. Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships, and patient-physician communication, in addition to bereavement items. Data were also collected from respondents on the following items and modules: social activity items, physical contact module, sexual interest module, get up and go assessment of physical function, and a panel of biomeasures, including weight, waist circumference, height, blood pressure, smell, saliva collection, and taste. The Disposition of Round 1 Partner files (Datasets 3 and 4) detail information derived from Section 6A items regarding the partner from Round 1 within the questionnaire. This provides a complete history for respondent partners across both rounds. The Social Networks files (Datasets 5 and 6) contain one record for each person identified on the network roster. Respondents who refused to participate in the roster or who did not identify anyone are not represented in this file. The Social Networks Update files (Datasets 7 and 8) detail respondents' current relationship status with each person identified on the network roster. The Partner History file (Dataset 9) contains one record for each marriage, cohabitation, or romantic relationship identified in Section 6A of the questionnaire, including a current partner in Round 2 but excluding the partner from Round 1. The Partner History Update file (Dataset 10) details respondents' current sexual partner information, as well as marital and cohabiting status. The Medications Data file (Dataset 11) contains records for items listed in the medications log. The Proxy Data files (Datasets 12 and 13) contain information from proxy interviews administered for Round 1 Respondents who were either deceased or whose health was too poor to participate in Round 2. The Sleep Statistics Data files (Dataset 14 and 15) provide information on actigraphy sleep variables. NACDA also maintains a Colectica portal with the NSHAP Core data across rounds 1-3, which allows users to interact with variables across rounds and create customized subsets. Registration is required.

Downloads of Add Health require submission of the following information, which is shared with the original producer of Add Health: supervisor name, supervisor email, and reason for download. A Data Guide for this study is available as a web page and for download. The National Longitudinal Study of Adolescent to Adult Health (Add Health), 1994-2018 [Public Use] is a longitudinal study of a nationally representative sample of U.S. adolescents in grades 7 through 12 during the 1994-1995 school year. The Add Health cohort was followed into young adulthood with four in-home interviews, the most recent conducted in 2008 when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents' social, economic, psychological, and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships. Add Health Wave I data collection took place between September 1994 and December 1995, and included both an in-school questionnaire and in-home interview. The in-school questionnaire was administered to more than 90,000 students in grades 7 through 12, and gathered information on social and demographic characteristics of adolescent respondents, education and occupation of parents, household structure, expectations for the future, self-esteem, health status, risk behaviors, friendships, and school-year extracurricular activities. All students listed on a sample school's roster were eligible for selection into the core in-home interview sample. In-home interviews included topics such as health status, health-facility utilization, nutrition, peer networks, decision-making processes, family composition and dynamics, educational aspirations and expectations, employment experience, romantic and sexual partnerships, substance use, and criminal activities. A parent, preferably the resident mother, of each adolescent respondent interviewed in Wave I was also asked to complete an interviewer-assisted questionnaire covering topics such as inheritable health conditions, marriages and marriage-like relationships, neighborhood characteristics, involvement in volunteer, civic, and school activities, health-affecting behaviors, education and employment, household income and economic assistance, parent-adolescent communication and interaction, parent's familiarity with the adolescent's friends and friends' parents. Add Health data collection recommenced for Wave II from April to August 1996, and included almost 15,000 follow-up in-home interviews with adolescents from Wave I. Interview questions were generally similar to Wave I, but also included questions about sun exposure and more detailed nutrition questions. Respondents were asked to report their height and weight during the course of the interview, and were also weighed and measured by the interviewer. From August 2001 to April 2002, Wave III data were collected through in-home interviews with 15,170 Wave I respondents (now 18 to 26 years old), as well as interviews with their partners. Respondents were administered survey questions designed to obtain information about family, relationships, sexual experiences, childbearing, and educational histories, labor force involvement, civic participation, religion and spirituality, mental health, health insurance, illness, delinquency and violence, gambling, substance abuse, and involvement with the criminal justice system. High School Transcript Release Forms were also collected at Wave III, and these data comprise the Education Data component of the Add Health study. Wave IV in-home interviews were conducted in 2008 and 2009 when the original Wave I respondents were 24 to 32 years old. Longitudinal survey data were collected on the social, economic, psychological, and health circumstances of respondents, as well as longitudinal geographic data. Survey questions were expanded on educational transitions, economic status and financial resources and strains, sleep patterns and sleep quality, eating habits and nutrition, illnesses and medications, physical activities, emotional content and quality of current or most recent romantic/cohabiting/marriage relationships, and maltreatment during childhood by caregivers. Dates and circumstances of key life events occurring in young adulthood were also recorded, including a complete marriage and cohabitation history, full

Information for this file was collected for Current Population Surveys in March and April, 2000. The March portion of this file, also known as the Annual Demographic File, provides the usual monthly labor force data, as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information is given on the employment status, occupation, and industry of persons 15 years old and over, as well as data concerning weeks worked and hours per week worked, reason for not working full-time, total income and income components, and residence on March 1, 2000. This file also contains data covering nine noncash income sources: food stamps, school lunch programs, employer-provided group health insurance and pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Also included are demographic characteristics such as age, sex, race, household relationship, and Hispanic origin for each person in the household. The April portion of this file, the child support supplement, contains responses from all people 15 years of age and older, with children present in the household. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR04244.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team is led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. The Level 1 data supplements the public-use data (see National Survey of Early Care and Education (NSECE) Public-Use Files, [United States], 2019 (ICPSR 37941)), with minimal overlap of variables across the data files. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Data Users Page For quick links to the PDF manuals (for the Quick Tabulation Files) and user's guides (for the Public-Use Files), please visit the Data Training Resources from the NSECE page. In addition, users can select "Documentation Only" from the Download tab on this study homepage to download all NSECE documentation in one zip file. Researchers interested in applying for the Restricted-Use Data Files are encouraged to read the user's guides before completing their application.

The U.S. Census Bureau TIGER/Line® files in this data collection were originally distributed by the Inter-university Consortium for Political and Social Research (ICPSR) through its TIGER/Line file web site, which was decommissioned in 2018 (archived version: https://web.archive.org/web/20090924181858/http://www.icpsr.umich.edu/TIGER/index.html). There, users could download various versions of the U.S. Census Bureau's TIGER (Topologically Integrated Geographic Encoding and Referencing) database. The TIGER/Line files do not include demographic data, but they do contain geographic information that can be linked to the Census Bureau’s demographic data. Due to file number limitations in openICPSR, the original data collections have been bundled into single zip packages. A single TIGER_directory.txt file listing the original files and the original directory structure is included with the root directory. Documentation files are also included as standalone subdirectories in each collection so users do not need to download entire zip bundles to view documentation. The TIGER/Line data are stored in compressed format in subdirectories by state name. There is one TIGER/Line file (in a compressed format) for each county or county equivalent. The file names consist of TGR + the 2-digit state FIPS (Federal Information Processing Standards) code + the 3-digit county FIPS code (i.e. TGR01031.ZIP for Coffee County, Alabama). Each state folder contains individual county files.The individual county files include one file for each record type included for that county with the following name convention: tgr01031.rt1. The convention follows the order described above with each file having a suffix which includes 'rt' (record type) followed by its designation (in this case record type 1). Each county file also contains its own metadata record.If present, documentation files for the TIGER/Line data are stored in a directory named '0docs' which is located in the 'Parent Directory'. This directory appears at the top of the index of state subdirectories for each edition of the TIGER/Line files. The documentation includes a complete list of FIPS state and county codes.

Abstract (en): The Detroit Area Study is an ongoing series of surveys conducted by the Department of Sociology at the University of Michigan. These surveys serve two purposes: to provide useful survey information about various population characteristics and social issues selected as topics by principal investigators, and to provide actual survey research experience for graduate students. In the 1978 survey, 650 Detroit-area women were personally interviewed about their families. Items included questions on sex-role attitudes, ideal family size, and patterns of decision-making. Extensive occupational and fertility histories were also collected. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Women living in the Detroit area in 1978. Multistage probability sample. 2010-10-25 SPSS, SAS, and Stata setup files and ready-to-go files were released with variable labels and value labels. Online analysis capabilities with question text were also added. Funding insitution(s): University of Michigan . face-to-face interviewThe data available for download are not weighted and users will need to weight the data prior to analysis.Although this study also included a sample of interviews conducted in Macomb and Oakland Counties, this data is not included in this collection. More information about the Detroit Area Studies Project is available on the Detroit Area Studies Project Web site.Variable 487 contains an unknown code.

When using any of this project's data, please reference the correct peer-reviewed publication listed below. Please see the publication for additional details on how the measures are constructed. Where multiple versions of the data exist, we recommend using the most recent version for new projects.E-cigarette Taxes: E-cigarette tax scheme vary across states and localities, making comparisons across states difficult. This project provides standardized e-cigarette tax rates at the state and local levels in the United States. 2nd Edition:Publication: Cotti, Chad, Erik Nesson, Michael F. Pesko, and Serena Phillips. "Standardising the measurement of e-cigarette taxes in the USA (2nd edition), 2010–2023 ." Tobacco control (2024).PubMed Link: https://pubmed.ncbi.nlm.nih.gov/39580153/Download: E-cig Tax Version 2, 2010-2023.xlsxDescription: The downloadable data file includes 2 tabs:Closed System E-cigarette Taxes by State/County from 2010 to 2023, 35% Retailer Markup, Time-Invariant Tax UnitsOpen System E-cigarette Taxes by State/County from 2010 to 2023, 35% Retailer Markup, Time-Invariant Tax Units 1st Edition:Publication: Cotti, Chad, Erik Nesson, Michael F. Pesko, Serena Phillips, and Nathan Tefft. "Standardising the measurement of e-cigarette taxes in the USA, 2010–2020." Tobacco control 32, no. e2 (2023): e251-e254.PubMed Link: https://pubmed.ncbi.nlm.nih.gov/34911814/Download: E-cig Tax Version 1, 2010-2020.xlsxDescription: The downloadable Excel file includes 3 tabs:E-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Invariant Tax UnitsE-cigarette Taxes by State/County from 2010 to 2020, 20% Retailer Markup, Time-Invariant Tax UnitsE-cigarette Taxes by State/County from 2010 to 2020, 35% Retailer Markup, Time-Varying Tax UnitsIndoor Air LawsThis database reports US national- and state-level estimates of population coverage of comprehensive and partial indoor smoking restrictions from 1990 to 2021 for bars, restaurants, and workplaces, and comprehensive indoor vaping restrictions from 2006 to 2021 for the same locations. Estimates were calculated by using policy data from the American Nonsmokers' Rights Foundation. 1st Edition:Publication: Seidenberg, Andrew B., Karl Braganza, Maxwell Chomas, Megan C. Diaz, Abigail S. Friedman, Serena Phillips, and Michael Pesko. "Coverage of Indoor Smoking and Vaping Restrictions in the US, 1990-2021." American Journal of Preventive Medicine (2024).67, no. 4 (2024): 494-502.PubMed Link: https://pubmed.ncbi.nlm.nih.gov/38876294/Download: Vaping and Smoking Indoor Air Laws Version 1, 2010-2021.xlsxFlavored Tobacco Product Sales Restrictions:This longitudinal dataset describes state and national population coverage and comprehensiveness of flavored tobacco sales from 2010 to 2023 for e-cigarettes, cigarettes, cigars, and smokeless tobacco. Comprehensiveness considers retailer and product exemptions.1st Edition:Publication: Seidenberg, Andrew B., Karl Braganza, Maxwell Chomas, Megan C. Diaz, Abigail S. Friedman, Serena Phillips, and Michael Pesko. "Population Coverage of Flavored Tobacco Sales Restrictions in the United States, 2010–2023." Tobacco Control (2025).PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41115799/Download: Flavored Tobacco Product Sales Restrictions Version 1 - 2010-2023.xlsxResearch reported in this project was supported by the National Institute On Drug Abuse of the National Institutes of Health under Award Number R01DA045016. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Local Getis-Ord Gi* statistics were calculated as a measure of residential segregation. Measures were calculated at the census tract level based on the proportion of non-Hispanic White, non-Hispanic Black, non-Hispanic Asian [and Pacific Islander for 1990 and 2000 census], Hispanic, and immigrant persons (regardless of country of origin; 2008-2012 only) per census tract. Gi* statistics are Z-scores that compare the proportion of the population in the focal tract and its neighboring tracts to the average proportion of a larger geographic unit. For the majority of tracts, the larger geographic unit was the Core-Based Statistical Area (CBSA) these tracts belonged to. The county was used as the larger unit for tracts that fell outside the boundaries of a CBSA.Data for the measures were obtained from the IPUMS National Historical Geographic Information System (NHGIS) data finder. Data were downloaded for the 1990 and 2000 census, and the 2006-2009, 2008-2012 (Immigrant segregation only), 2010-2014, and 2015-2019 5-year American Community Survey (ACS) estimates. Geographically standardized time series tables were used for 1990 and 2000 census data. All other ACS data were standardized to 2010 census tract boundaries.G*statistics were calculated using both Rook and Queen conceptualization of spatial relationships. With Rook contiguity, neighbors are determined by those that share a common edge only, while Queen contiguity neighbors are those that share both an edge or a "corner" (common vertex). See detailed documentation for further details.

The Religious Landscape Study (RLS) is a survey that paints a religious portrait of the United States. With more than 36,000 respondents in 2023-24, it permits detailed examination of the religious identities, beliefs and practices of U.S. adults.

The National Survey of Early Care and Education (NSECE) is a set of four integrated, nationally representative surveys conducted in 2012. These were surveys of (1) households with children under 13, (2) home-based providers, (3) center-based providers, and (4) the center-based provider workforce.

The NSECE documents the nation's current utilization and availability of early care and education (including school-age care), in order to deepen the understanding of the extent to which families' needs and preferences coordinate well with providers' offerings and constraints. The experiences of low-income families are of special interest as they are the focus of a significant component of early care and education/school-age (ECE/SA) public policy. The NSECE calls for nationally-representative samples including interviews in all fifty states and Washington, DC.

The study is funded by the Office of Planning, Research and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services. The project team is led by the National Opinion Research Center (NORC) at the University of Chicago, in partnership with Chapin Hall at the University of Chicago and Child Trends.

The Quick Tabulation and Public-Use Files are currently available via this site. Restricted-Use Files are also available at three different access levels; to determine which level of file access will best meet your needs, please see the NSECE Data Files Overview for more information.

Restricted-Use Files are available via the Child and Family Data Archive. To obtain the Level 1 files, researchers must agree to the terms and conditions of the Restricted Data Use Agreement and complete an application via ICPSR's online Data Access Request System.

Level 2 and 3 Restricted-Use Files are available via the National Opinion Research Center (NORC). For more information, please see the access instructions for NSECE Levels 2/3 Restricted-Use Data.

NORC is also beginning to release preliminary 2019 NSECE Quick Tabulation data files in summer 2020. These preliminary files and documentation are available for download from the DATA FILES box on the NORC website.

For additional information about this study, please see:

• NSECE study page on NORC's website
• NSECE Research Methods Blog

For more information, tutorials, and reports related to the National Survey of Early Care and Education, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.

Abstract (en): The American Community Survey (ACS) is a part of the Decennial Census Program, and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States and Puerto Rico. Every year the ACS supports the release of single-year estimates for geographic areas with populations of 65,000 or more. Demographic variables include sex, age, relationship, households by type, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, disability status, residence one year ago, place of birth, U.S. citizenship status, year of entry, world region of birth of foreign born, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status. Variables focusing on housing characteristics include occupancy, units in structure, year structure built, number of rooms, number of bedrooms, housing tenure, year householder moved into unit, vehicles available, house heating fuel, utility costs, occupants per room, housing value, and mortgage status. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory. The data in the household and population files contain weights. The initial weights reflect the probability of selection and are adjusted for interviewed households to account for noninterviews. Additional weights reflect independent housing unit and population estimates. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.. All persons and housing units in the United States including Puerto Rico. 2008-05-02 Parts 105 and 106 have been added to this data collection to include the housing and population data files for Puerto Rico. Question text has been added to the codebooks. SAS, SPSS, and Stata setup files, and SAS supplemental files have been added for both parts 105 and 106. SDA has been added for both parts 105 and 106 of this data collection. mail questionnaire, computer-assisted telephone interview (CATI), computer-assisted personal interview (CAPI)Parts 103 and 104 represent, respectively, the entire United States Housing and Population datasets for the 2005 American Community Survey (ACS). Both parts 103 and 104 are quite large and should be downloaded at the discretion of the user. ICPSR suggests SDA online analysis for those users who wish to use the United States ACS housing and population datasets but have decided not to download the respective parts: United States Housing SDA, United States Population SDA.Any state's housing and population data files can be merged via the variable SERIALNO to create a hierarchical data file. The hierarchical data structure represents the responses of all individuals reported living in a given housing unit. Individuals can be distinguished by the variable SPORDER (Person Number). If users are merging files, keep in mind that estimates of family, household, and housing characteristics will make use of the housing weights. Estimates of person characteristics will use the person weights. Users are strongly encouraged to read all documentation regarding sampling errors and weights prior to merging files. Documentation is available for download or can be accessed on the American Community Survey Web site.

The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit in the sample is interviewed every three months over a 15-month period, and (2) a Diary Survey completed by the sample consumer units for two consecutive one-week periods. The Interview Survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those that respondents can recall fairly accurately for three months or longer. In general, these expenditures include relatively large purchases, such as those for property, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Excluded are nonprescription drugs, household supplies, and personal care items. Including global estimates on spending for food, it is estimated that about 90 to 95 percent of expenditures are covered in the Interview Survey. The Detailed Expenditure Files that comprise this data collection were created from all the major expenditure sections of the Interview Survey questionnaires and contain more detailed expenditure records than those found in the Interview Survey data (CONSUMER EXPENDITURE SURVEY, 1993: INTERVIEW SURVEY [ICPSR 6580]). In addition, the Detailed Expenditure Files include Consumer Unit Characteristics (FMLY) Files and Income and Member Characteristics (MEMB) Files identical to those found in the Interview Survey. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR06543.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

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.

Early Head Start (EHS) programs are comprehensive, two-generation programs that focus on enhancing children's development while strengthening families. Designed for low-income pregnant women and families with infants and toddlers up to age 3, Early Head Start programs strive to achieve their goals by designing program options based on family and community needs. Programs may offer one or more options to families, including a home-based option, a center-based option, a combination option in which families receive a prescribed number of home visits and center-based experiences, and locally designed options, which in some communities include family child care.The Early Head Start Research and Evaluation (EHSRE) Study was conducted by Mathematica Policy Research (MPR) and included five major components: (1) an implementation study; (2) an impact evaluation, using an experimental design; (3) local research studies to learn about pathways to desired outcomes; (4) policy studies to respond to information needs in areas of emerging policy-relevant issues; and (5) continuous program improvement. The study involved 3,001 children and families in 17 sites representing diverse program models, racial/ethnic makeup, urban-rural location, program auspice, and program experience in serving infants and toddlers. Three phases comprise the collection: Birth to Three ("0-3"), Pre-Kindergarten ("PreK") Follow-up and the Elementary School ("G5") Follow-up. A brief description of each phase is provided below:Birth to Three Phase (1996-2001): included a cross-site national study that encompassed an Impact Evaluation and Implementation Study that investigated program impacts on children and families through their time in the program as well as site-specific research conducted by local research projects.Pre-Kindergarten Follow-up Phase (2001-2005) : built upon the earlier research and followed the children and families who were in the original study from the time they left the Early Head Start program until they entered kindergarten. It was designed to document the long-term consequences of receiving either Early Head Start services or other community services up until age 3 combined with subsequent Head Start or other formal early care and education programs on children's school readiness and parent functioning.Elementary School Follow-up Phase (2005-2010): assessed children and families when the children were fifth graders or attending their sixth year of formal schooling. The study included direct assessments of children's cognitive, socio-emotional, and physical development; parent interviews; teacher questionnaires; and videotaping of maternal-child interactions. The Early Head Start findings are based on a mixture of direct child assessments, observations of children's behavior by in-person interviewers, ratings of videotaped parent-child interactions in standardized ways, ratings of children's behaviors by their parents, and parents' self-reports of their own behaviors, attitudes, and circumstances. Data in this collection were constructed by the Mathematica Policy Research (MPR) researchers for use in their analyses. Very few of the original source variables are present in this public-use file. The constructs came from several data sources: Baseline data, which were collected from the Head Start Family Information System (HSFIS) program application and enrollment forms and the MPR Tracking System. These data contain information on the program status of each case, characteristics of the applicant, mother, and focus child from the MPR Tracking System, summary variables pertaining to all family members, and information on the father, on family circumstances, on the mother's pregnancy, and on the focus child. Parent services follow-up interviews (PSI) targeted for 6, 15, and 26 months after random assignment. These data contain information on use of services both in and outside of Early Head Start, progress toward economic self-sufficiency, family health, and children's health. Parent interviews (BPI) targeted for completion when children were 14, 24, and 36 months old. These interviews obtained a large amount of information from the primary caregivers about their child's development and family functioning. Specific questions asked of parents in the parent interview included items about raising a baby, child's health, household composi

The paper tests the effects of plan making on job search and employment. In a field experiment with unemployed youths, participants who complete a detailed job search plan increase the number of job applications submitted (by 15 percent) but not the time spent searching, consistent with intention-behavior gaps observed at baseline. Job seekers in the plan-making group diversify their search strategy and use more formal search channels. This greater search efficiency and effectiveness translate into more job offers (30 percent) and employment (26 percent). Weekly reminders and peer support sub-treatments do not improve the impacts of plan making.

The 1950 Census Tract files were originally created by keypunching the data from the printed publications prepared by the Bureau of the Census. The work was done under the direction of Dr. Donald Bogue, whose wife, Elizabeth Mullen Bogue, completed much of the data work. Subsequently, the punchcards were converted to data files and transferred to the National Archive and Records Administration (NARA). ICPSR received copies of these files from NARA and converted the binary block-length records to ASCII format.

This dataset merges the responses to identical questions from two waves of Euro-Barometer surveys, EURO-BAROMETER 37.0: AWARENESS AND IMPORTANCE OF MAASTRICHT AND THE FUTURE OF THE EUROPEAN COMMUNITY, MARCH-APRIL 1992 (ICPSR 9847), and EURO-BAROMETER 37.1: CONSUMER GOODS AND SOCIAL SECURITY, APRIL-MAY 1992 (ICPSR 9957). These surveys queried respondents on standard Euro-Barometer measures such as public awareness of and attitudes toward the Common Market and the European Community (EC), and also focused on alcohol and drug use. Items covered the use of beer, wine, spirits, and other forms of alcohol, age at which the respondent began drinking, familiarity with major forms of drugs, age at which drugs were first offered, how difficult it was to get drugs, and the means available for getting drugs. Additional questions focused on how the respondent viewed the drug problem, the top priority in eliminating the drug problem, diminishing the effects of drug use, and whether drug use leads to AIDS, prostitution, health problems, social problems, violence, suicide, personality breakdowns, and problems with the law. Respondents were also asked for their opinions on several measures used to combat the effects of drug use and the major reasons for alcohol and drug use. Demographic and other background information was gathered on the number of people residing in the home, size of locality, home ownership, trade union membership, region of residence, and occupation of the head of household, as well as the respondent's age, sex, marital status, education, occupation, work sector, religiosity, subjective social class, left-right political self-placement, and opinion leadership. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR09956.v1. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

These data are produced in conjunction with Federal Election Commission (FEC) Reports On Financial Activity (RFA) and are taken directly from campaign finance reports filed by political committees and others who are required to file under the federal election laws. The data present summary information concerning filers' gross receipts, disbursements, debts, cash on hand, etc. They also include information on particular party and nonparty committee support of individual candidates. The data for United States congressional campaigns supply summarized information about the campaign, including the candidate's name, incumbency status, party affiliation, receipts, disbursements, contributions from the candidate, loans, debts, aggregate contributions by amount and source, and independent expenditures for and against the candidate. The party and nonparty political committee data contain summary information for committees including the committee name, special-interest group classification, receipts, cash and in-kind contributions made and received, disbursements, debts, and total expenditures for and against House and Senate candidates. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08937.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.