https://www.icpsr.umich.edu/web/ICPSR/studies/35519/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35519/terms
The 2012 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 2012 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 and school-age child care (ECE/SACC) public policy. The 2012 NSECE calls for nationally-representative samples including interviews in all 50 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. Level 1 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. For additional information about this study, please see: NSECE project page on the OPRE website 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.
The survey examined the circumstances of families with four-year-old children regarding, among other topics, living arrangements, income, parental roles, childcare arrangements, and childcare allowances and vouchers. Respondents included the guardians of four-year-old children in Finland. The survey was conducted as part of the Finnish Childcare Policies: In/equality in Focus (CHILDCARE) research project, a joint collaboration by the University of Jyväskylä, Tampere University and Finnish Institute for Health and Welfare. First, the respondents were asked about their four-year-old child's childcare arrangements. Questions examined what arrangements they had in place for their four-year-old and any other children and how satisfied they were with the arrangements. Further questions were asked based on whether the child was at home or looked after by an unpaid carer or in day care. Next, the respondents' work situation, work-life balance, well-being, and family circumstances were surveyed. Questions also focused on the respondents' financial situation and views on childcare policies. Background variables included, among others, the respondent's municipality of residence (categorised), gender, age group, marital status, family composition, level of education, and current activity and employment. Additionally, background information relating to the child was collected, including the child's gender, living arrangements, and childcare arrangements. The education and current activity of the respondent's spouse/partner were also charted. Temporal comparisons can be made between this dataset and dataset FSD3577 Early Childhood Education and Care Survey 2016 based on the randomised id variable.
Users can request data and reports related, but not limited to child abuse, neglect, foster care, and child well-being. Background The National Data Archive on Child Abuse and Neglect collects data on the well-being of children. The archive is a project of the Family Life Development Center, Department of Human Ecology at Cornell University. The archive collects data sets from the The National Survey of Child Health and Well-being, The Adoption and Foster Care Analysis Reporting System, The National Child Abuse and Neglect Data System, and other data related to child abuse, neglect, victimization, m altreatment, sexual abuse, homelessness, and safety. User functionality Users can access abstracts of data sets which discuss the time period and logistics of collecting the data. There are different requirements for accessing different data sets. All requirements are clearly outlined. All data sets must be ordered through the National Data Archive on Child Abuse and Neglect. Application materials must be mailed to the archive for access permission. Requirements for access vary by amount of personal information included in the data set. Data Notes The chief investigator, the years of data collection and a description of the data set is available on the website for every data set. The website does not convey when new data sets will be added.
https://www.icpsr.umich.edu/web/ICPSR/studies/38660/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38660/terms
The Early Head Start Family and Child Experiences Survey (Baby FACES) is a nationally representative descriptive study of Early Head Start. The first cohort of Baby FACES was fielded in 2009-2012. It used a longitudinal design and followed two age cohorts of children (newborns and 1-year-olds) through their time in Early Head Start. Baby FACES was redesigned in 2015 to employ a repeated cross-sectional approach to provide a comprehensive snapshot of Early Head Start with a nationally representative sample of programs, centers, home visitors, teachers/classrooms, and enrolled families, and children of all age groups in Administration for Children and Families (ACF) Regions 1 through 10. Using the cross-sectional design, the second cohort of Baby FACES was fielded in the spring of 2018 (Baby FACES 2018) and the third cohort was fielded in spring 2022 (Baby FACES 2022). Baby FACES 2018 and 2022 have a particular focus on the processes in the classrooms and home visits respectively that support responsive relationships, including teacher-child relationships, staff-parent relationships, and parent-child relationships. These studies address the overarching research question: How do Early Head Start services support infant/toddler growth and development in the context of nurturing, responsive relationships?
Data and sample repository for National Children's Study. Provides access to data and samples collected from over 5,600 U.S. birth families to study environmental influences on child health and development. Data and biological and environmental samples are freely available, with approved request, for scientific research.
This dataset tracks the updates made on the dataset "Evaluation of Child Care Subsidy Strategies: Massachusetts Family Child Care Study, 2005-2007" as a repository for previous versions of the data and metadata.
The data consists of information collected from parents and guardians of children under two years of age on childcare arrangements and early childhood education and care solutions. The data is part of the multidisciplinary project "Finnish Childcare Policies: In/Equality in Focus" (CHILDCARE), which is being implemented by the Universities of Jyväskylä and Tampere and the National Institute for Health and Welfare (THL). The interviews started with questions about the daily life of the child and the family. Then they were asked about the rationale behind the childcare solutions, such as how and why the current solution was chosen. This was followed by questions about the support and help respondents had received in relation to childcare and its solutions. They were also asked about the reconciliation of work and family life and about childcare-related decision-making within the family. Finally, respondents were asked about current issues in the family leave system and early childhood education and were asked to reflect on the future, on what life might be like for their child at the age of 4. Background information are classified by educational background, age and municipality classification. The data were organised into an easy to use HTML version at FSD. The randomized municipality and respondent code of the "interview name" in the data allows a comparison between this and the follow-up data FSD3750 and FSD3751. Follow-up interviews were collected from the same parents and guardians when the children were around four years old in 2019 and under school age during the COVID-19 pandemic in 2020-2021.
The survey studied the views of parents, pre-primary school teachers, kindergarten teachers, and day-care centre staff on child-rearing, and especially the sharing of child-rearing responsibility within the family, between spouses, parents, and professional educators. The division of responsibility within the family was studied by asking the parents' opinions on to whom certain daily educative functions belonged in their family. The child-rearing responsibilities of parents and professional educators was studied by asking opinions on to whom certain more general child-rearing responsibilities belonged. Furthermore, there were questions about conflicts, co-operation, and support in child-rearing between parents, and between parents and education professionals. There were questions on pre-school education, on the importance of its goal, and on the relationship between pre-school education and child-rearing responsibility. The parents were also asked about problems in balancing work and family life, and suggestions for improvements. Background variables were the respondent's sex, age, marital status, education, type of municipality of residence, social group, employment, satisfaction with present job, and number and age of children.
Background:
The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:
Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.
The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.
The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.The Millennium Cohort Study: Linked Health Administrative Data (Scottish Medical Records), Child Health Reviews, 2000-2015: Secure Access includes data files from the NHS Digital Hospital Episode Statistics database for those cohort members who provided consent to health data linkage in the Age 50 sweep, and had ever lived in Scotland. The Scottish Medical Records database contains information about all hospital admissions in Scotland. This study concerns the Child Health Reviews (CHR) from first visit to school reviews.
Other datasets are available from the Scottish Medical Records database, these include:
Abstract copyright UK Data Service and data collection copyright owner. Sure Start represents a unique approach to early intervention for children 0-4, their families, and communities. Rather than providing a specific service, the Sure Start initiative represents an effort to change existing services. This is to be achieved by reshaping, enhancing, adding value, and by increasing co-ordination. In light of this model, three core questions need to guide the overall evaluation of Sure Start:1. Do existing services change? (How and, if so, for which populations and under what conditions?)2. Are delivered services improved? (How, and if so, for which populations and under what conditions?)3. Do children, and families benefit? (How, and if so, for which populations and under what conditions?)The National Evaluation of Sure Start (NESS) study concerns the third question, addressing it through a longitudinal study comparing children and families in similar areas receiving and not receiving Sure Start programmes. Over time, NESS has followed up 7-year-olds and their families in 150 Sure Start Local Programme (SSLP) areas who were initially studied when the children were 9 months, 3 and 5 years old. The 7-year-old study followed up a randomly selected subset of the children and families previously studied at younger ages. The non-Sure Start children and families are a subset of those in the Millennium Cohort Study (available from the UK Data Archive under GN 33359), though these respondents are not included in this dataset. Further information about the NESS project is available from the documentation and the Birkbeck, University of London NESS project webpage. For the second edition (December 2012), data and documentation from the NESS surveys of 5- and 7-year-olds and their families were added to the study. Main Topics: A variety of child, family and community-level topics were examined over time, including: child characteristics, e.g. age, gender, ethnicitydemographic, socio-economic and parental characteristicslocal area characteristicschild language developmentchild social and emotional developmentchild physical healthparenting and family functioningmaternal well-beingsupport service usemother's rating of local areapre-primary and primary educationhome learning environmentSee documentation for further details. Multi-stage stratified random sample Face-to-face interview 2003 2011 ABILITY ACCIDENTS IN THE HOME ADVICE AGE ANTHROPOMETRIC DATA AUDIO AND VIDEO EQU... CHILD BEHAVIOUR CHILD BENEFITS CHILD CARE CHILD DEVELOPMENT CHILD SUPPORT AGENCIES CHILDREN COMPUTERS CULTURAL IDENTITY Children DEPRESSION DOMESTIC APPLIANCES DOMESTIC VIOLENCE DRINKING BEHAVIOUR EARLY CHILDHOOD EDUCATIONAL ENVIRON... EMOTIONAL DEVELOPMENT England FAMILY BENEFITS FAMILY ENVIRONMENT FAMILY MEMBERS FATHER S ECONOMIC A... FATHER S EDUCATIONA... FATHER S EMPLOYMENT... FATHER S OCCUPATION FINANCIAL RESOURCES GENDER GRANDPARENTS HEALTH HEALTH PROFESSIONALS HEARING IMPAIRMENTS HEATING SYSTEMS HOMELESSNESS HOURS OF WORK HOUSEHOLDS HOUSING BENEFITS HOUSING CONDITIONS HOUSING TENURE IMMUNIZATION INCOME INTERPERSONAL CONFLICT JOB SEEKER S ALLOWANCE LANGUAGE DEVELOPMENT LANGUAGES USED AT HOME LEARNING LIFE SATISFACTION LOCAL TAX BENEFITS MENTAL DEVELOPMENT MORTGAGES MOTHER S ECONOMIC A... MOTHER S EDUCATIONA... MOTHER S EMPLOYMENT... MOTHER S OCCUPATION MULTIPLE BIRTHS ONE PARENT FAMILIES PARENT ATTITUDE PARENT CHILD RELATI... PARENT PARTICIPATION PARENTAL DEPRIVATION PARENTAL ROLE PARENTS PRE PRIMARY EDUCATION PRE PRIMARY SCHOOLS PRESCHOOL CHILDREN PRIMARY EDUCATION PRIMARY SCHOOLS PRIVATE GARDENS RELIGIOUS AFFILIATION RELIGIOUS PRACTICE RENTS RESIDENTIAL BUILDINGS RESIDENTIAL MOBILITY ROAD VEHICLES ROOMS SCHOOLCHILDREN SIBLINGS SMOKING SOCIAL BEHAVIOUR SOCIAL SECURITY BEN... SPOUSES Specific social ser... TELEPHONES TRANSITION TO SCHOOL UNEMPLOYMENT VERBAL SKILLS
The data consists of information collected from parents of five- and six-year-old children on their childcare arrangements and their family's daily life during the COVID-19 pandemic. The data is part of the multidisciplinary project "Finnish Childcare Policies: In/Equality in Focus" (CHILDCARE), carried out by the University of Jyväskylä, Tampere University and the Finnish Institute for Health and Welfare (THL). In the interviews, questions were initially asked about the child's and family's everyday life during the COVID-19 pandemic, for example, how the pandemic and COVID-19 restrictions affected the child's everyday life in spring 2020. Then, they were asked what life was like for the family in autumn 2020 and how the pandemic had changed the family's life. The survey then asked how the children in the family felt about the pandemic and the changes it brought. Looking to the near future, the interviews asked about the interviewees' thoughts, concerns and hopes regarding the COVID-19 and family life. The interviews also asked how parents' work was organised in everyday life and how the pandemic had affected the division of labour between parents and their ability to cope. The interviews also looked at whether the role of early childhood education and care services had changed during the pandemic, and how communication between home and early childhood education and care had taken place. Background data are classified by educational background and age, as well as by municipality classification. The data were organised into an easy to use HTML version at FSD. The randomized municipality and respondent code of the "interview name" in the data allows comparison between this and the follow-up data FSD3755 and FSD3751. Follow-up interviews were collected from the same parents when the children were under two years old in 2016-2017 and around four years old in 2019.
https://www.icpsr.umich.edu/web/ICPSR/studies/37848/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37848/terms
In 2010, the United States Congress authorized the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program, which started a major expansion of evidence-based home visiting programs for families living in at-risk communities. MIECHV is administered by the Health Resources and Services Administration (HRSA) in collaboration with the Administration for Children and Families (ACF) within the U.S. Department of Health and Human Services (HHS). The authorizing legislation required an evaluation of the program, which became the Mother and Infant Home Visiting Program Evaluation (MIHOPE). The evaluation is being conducted for HHS by MDRC with James Bell Associates, Johns Hopkins University, Mathematica, the University of Georgia, and Columbia University. MIHOPE was designed to learn whether families benefit from MIECHV-funded early childhood home visiting programs, and if so, how. The study included the four evidence-based models that 10 or more states chose in their initial MIECHV plans in fiscal year 2010-2011: Early Head Start - Home-based option, Healthy Families America, Nurse-Family Partnership, and Parents as Teachers. MIHOPE was the first study to include all of these four evidence-based models. To provide rigorous evidence on the MIECHV-funded programs' effects, the study randomly assigned more than 4,200 families to receive either MIECHV-funded home visiting or information on community services. As is the standard method in studies that use random assignment, the primary analytical strategy in MIHOPE was to compare the outcomes of the entire program group with those of the entire control group. As per the authorizing legislation, the study measured early effects on family and child outcomes in the areas listed below, with the exception of school readiness and academic achievement (which were not included at this point because children were too young to measure those outcomes): Prenatal, maternal, and newborn health Child health and development, including child maltreatment Parenting skills School readiness and child academic achievement Crime and domestic violence Family economic self-sufficiency Referrals and service coordination Videos and Video Metadata: Two sets of videos are included in the MIHOPE restricted access files. They include: Mother-home visitor interactions at 387 home visits and Interactions between child and mother using the "Three Bags" and "Clean-Up" tasks with 2,832 families. The mother-home visitor interaction videos were recorded only for treatment group families at two points in time: the first was, on average, about eight weeks after the family's first home visit and the second was about eight months after the family's first home visit. Overall, 264 families are included in the mother-home visitor interaction videos in total, with 123 of these families recorded at both points in time. The mother-child interaction videos, during which the child and mother play with toys contained in three bags and place the toys back in the bags (the "Three Bags" and "Clean-Up" tasks), were recorded when the 15-month in-home assessments were conducted and are available for 2,832 families in the treatment and control groups. The videos are only linkable to a few pieces of metadata (home visiting model, video ID, treatment status, and variables indicating whether the family appears in the home visit videos, the three-bag task videos, or both). The videos in the restricted access data are not linkable to any other data included in the restricted access files. Additionally, the videos may only be viewed at the Inter-university Consortium for Political and Social Research's on-site Physical Data Enclave in Ann Arbor, Michigan.
Add Health Parent Study (2015-2017) gathered social, behavioral, and health survey data in 2015-2017 on a probability sample of the "https://addhealth.cpc.unc.edu/" Target="_blank">Add Health parents who were originally interviewed in 1995. Data for 2,013 Wave I parents, ranging in age from 50-80 years and representing 2,244 Add Health sample members, are available. Add Health Parent Study Wave I Parents were the biological, adoptive, or stepparent of an Add Health child; not deceased or incarcerated at the time of Parents (2015-2017) sampling; and had at least one Add Health child who is also not deceased at the time of Parents (2015-2017) sampling. The Add Health Parent Study interview also gathered survey data on the current cohabiting Spouse or Partner of Wave I Parents who completed the interview. Nine hundred eighty-eight (988) current Spouse/Partner interviews are available. These data can be linked with Wave I parent data, and corresponding Add Health respondents at Waves I - V.
The Add Health Parent Study (2015-2017) interview is a comprehensive survey of Add Health parents' family relations, education, religious beliefs, physical and mental health, social support, and community involvement experiences. In particular, the study was designed to improve the understanding of the role that families play through socioeconomic channels in the health and well-being of the older, parent generation and that of their offspring. This unique data set supports the analyses of intergenerational transmissions of (dis)advantage that have not been possible to date. Add Health Parent Study data permits the examination of both short-term and long-term linkages and interactions between parents and their adult children.
For more information, please visit the Add Health Parent Study official website "https://addhealth.cpc.unc.edu/about/#studies-satellite" Target="_blank">here.
This file is the Household and Family Roster data collected 2015-2017 from Add Health Wave I Parent. This file is also organized on the ID of the Add Health child, so rosters are duplicated when an interviewed Wave I Parent has multiple Add Health children. Users who want to analyze roster data on the parent level (one roster per parent) can eliminate duplicate rosters by using a variable provided for that purpose (see details of file contents). The name of the file is "prprnt2" on official Add Health "https://www.cpc.unc.edu/projects/addhealth/documentation/restricteduse/datasets#parent_study_files" Target="_blank">data documentation.
Abstract copyright UK Data Service and data collection copyright owner.Background:The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandFurther information about the MCS can be found on the Centre for Longitudinal Studies web pages.The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.End User Licence versions of MCS studies:The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.Sub-sample studies:Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasets:Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).Secure Access versions of the MCS include:detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stages 1, 2 and 4 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;Banded Distances to English Grammar Schools for MCS5 held under SN 8394linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030linked Hospital of Birth data held under SN 5724.The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page). The Millennium Cohort Study, Sweeps 3-6, 2006-2015: Banded Distances between Home and School study provides banded straight-line distances between the address at interview and the school attended by each cohort member for MCS3-MCS6 inclusive. Distances were calculated in a SIR database environment using the co-ordinates (eastings/northings of the British National Grid) of the unit postcode centroid of the address at interview and the unit postcode of the school attended, using the Pythagorean Theorem.
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/8.3/customlicense?persistentId=doi:10.7910/DVN/JYCRZFhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/8.3/customlicense?persistentId=doi:10.7910/DVN/JYCRZF
The purpose of this study was to assess the impact of early head start programs in response to the 1994 Head Start reauthorization which established a special initiative for services to families with infants and toddlers. The study was a program evaluation with 1500 families in Early Head Start programs and 1500 in a control group with no program participation. The participants included 3000 low-income and poor families (child, mother, and some fathers). The participants were 34% African American, 24% Latino (a), 37% White, and 5% other ethnicities. The children were between 0-12 months at the time of enrollment. The mothers averaged 23 years of age, with over 1/3 of the mothers under the age of 18. Assessments with children and interviews with parents were conducted when children were 14, 24, and 36 months. Parents and children were also assessed at 6, 15, and 24 months after enrollment to ensure that information for comparison group families was comparable to program data on Early Head Start families. Early Head Start program directors and key staff working with children and families were also interviewed. Program evaluations occurred at 17 sites with matching numbers of participating and control families at each site. The study encompassed five major components: 1) An implementation study which examined service needs and use for low-income families with infants and toddlers, including assessment of program implementation, illuminating pathways to achieving quality, examining program contributions to community change, and identifying and exploring variations across sites; 2) An impact evaluation to analyze the effects of Early Head Start programs on children, parents and families in depth, while assessing outcomes for program staff and communities; 3) Local research studies by researchers to learn more about the pathways to desired outcomes for everyone involved in Early Head Start; 4) Policy studies to respond to information needs in areas of emerging policy-relevant issues, including welfare reform, fatherhood, child care, and children with disabilities; and 5) Formats for continuous program improvements. Multiple data collection method were employed including intensive site visits to the research programs, program documents, parent services follow-up interviews, child care observations, staff surveys, parent reports, direct assessment of children, observations by trained observers, and coding of videotaped parent-child interactions in problem solving and free-play situations. Variable assessed include variations across the programs, pathways to service quality, service needs and use for low income families with infants and toddlers, program contributions to community change, child and family outcomes, differential effects for families with certain characteristics living in particular contexts, differential impacts related to differences in program implementation, professional development, continuity, and health of staff, relationship building among families and service providers and building collaborative service networks, child-care arrangements available to low-income families over the entire period of the study, children's environments and their relationship with caregivers, child's socioemotional functioning, child's cognitive and language development, parenting and the home environment, parental characteristics, and relationships with fathers and other adults. The Murray Research Archive also holds video and audiotape data for this study. The Murray also holds consortium use only files that are restricted to Early Head Start consortium members.
The data consists of writings by parents of young children about their children's night sleep. The gathering of writings sought parents with children under school age in the family who had experienced night wakings, interrupted sleep and/or constant tiredness caused by children's night sleepiness. Background information includes gender, age, family structure, labour market status and education. The data is organised into an easy to use HTML version at FSD.
The National Survey of America’s Families (NSAF) is part of The Urban Institute’s Assessing the New Federalism project. Its purpose is to track the effects of recent federal policy changes decentralizing many social programs, and to provide a comprehensive look at the well-being of children and non-elderly adults. The survey provides quantitative measures of child, adult and family well-being in America, with an emphasis on persons in low-income families. The survey gathers data on economic, health and social characteristics of children and families in order to estimate well-being. Specific topics include: participation in government programs; employment; earnings and income; economic hardship; educational attainment; training; family structure; housing arrangements; health insurance coverage; access to and use of health services; health status; psychological well-being; participation in religious and volunteer activities; knowledge of social services; and attitudes about work, welfare, health care and childbearing. In 2002, interviews were conducted with more than 40,000 families, yielding information on more than 100,000 people. Earlier rounds of the survey were conducted in 1997 and 1999.
The data contain the structured parts of a reader survey conducted in 2000 by the weekly supplement NYT of the newspaper Helsingin Sanomat. The survey was directed to mothers of grown-up children. Respondents were asked whether they had brought up their children alone or with the father/stepfather and whether they embrace their children when meeting them (physical contact). Opinions on whether they see their children often enough were probed. Questions covered whether children ask for money from their mothers, do mothers have a key to their children's home and vice versa. Respondents were presented with a number of adjectives/statements and asked which ones could be used to describe their children. Mothers also evaluated how well they know their children. Parental behaviour and disciplinary tactics used by the respondents were charted. Respondents were asked what they had taught their children and what kind of activities had they shared with them. Background variables included, among others, the respondent's age, marital status, the number of children, their age and sex. The number of respondents was 189. Most respondents were married. Respondents represented a variety of occupations and all socioeconomic groups. The sample is not statistically representative of mothers of grown-up children living in Finland.
The "https://addhealth.cpc.unc.edu/" Target="_blank">National Longitudinal Study of Adolescent to Adult Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent 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, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The fifth wave of data collection is planned to begin in 2016.
Initiated in 1994 and supported by three program project grants from the "https://www.nichd.nih.gov/" Target="_blank">Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) with co-funding from 23 other federal agencies and foundations, Add Health is the largest, most comprehensive longitudinal survey of adolescents ever undertaken. Beginning with an in-school questionnaire administered to a nationally representative sample of students in grades 7-12, the study followed up with a series of in-home interviews conducted in 1995, 1996, 2001-02, and 2008. Other sources of data include questionnaires for parents, siblings, fellow students, and school administrators and interviews with romantic partners. Preexisting databases provide information about neighborhoods and communities.
Add Health was developed in response to a mandate from the U.S. Congress to fund a study of adolescent health, and Waves I and II focus on the forces that may influence adolescents' health and risk behaviors, including personal traits, families, friendships, romantic relationships, peer groups, schools, neighborhoods, and communities. As participants have aged into adulthood, however, the scientific goals of the study have expanded and evolved. Wave III, conducted when respondents were between 18 and 26** years old, focuses on how adolescent experiences and behaviors are related to decisions, behavior, and health outcomes in the transition to adulthood. At Wave IV, respondents were ages 24-32* and assuming adult roles and responsibilities. Follow up at Wave IV has enabled researchers to study developmental and health trajectories across the life course of adolescence into adulthood using an integrative approach that combines the social, behavioral, and biomedical sciences in its research objectives, design, data collection, and analysis.
* 52 respondents were 33-34 years old at the time of the Wave IV interview.
** 24 respondents were 27-28 years old at the time of the Wave III interview.
The Wave III public-use data are helpful in analyzing the transition between adolescence and young adulthood. Included in this dataset are data on pregnancy.
Abstract copyright UK Data Service and data collection copyright owner.Background:The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will requireto provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)to collect information on previously neglected topics, such as fathers' involvement in children's care and developmentto focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may beto emphasise intergenerational links including those back to the parents' own childhoodto investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when availableAdditional objectives subsequently included for MCS were:to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of EnglandFurther information about the MCS can be found on the Centre for Longitudinal Studies web pages.The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website. The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.End User Licence versions of MCS studies:The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.Sub-sample studies:Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).Release of Sweeps 1 to 4 to Long Format (Summer 2020)To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.Secure Access datasets:Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).Secure Access versions of the MCS include:detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)linked education administrative datasets for Key Stages 1, 2 and 4 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;Banded Distances to English Grammar Schools for MCS5 held under SN 8394linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030linked Hospital of Birth data held under SN 5724.The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application. Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries).Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page). International Data Access Network (IDAN)These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website. Main Topics: SN 8755 - Millennium Cohort Study, Sweeps 1-7, 2001-2019: Demographics, Language and Religion: Secure Access contains respondents’ ethnic group, religion, language of interview and language spoken at home variables for all sweeps. Country of birth variables are available for sweeps 1-5 and relationship to the cohort member (CREL) variables are available for sweep 7. A MCS Research ID variable is also provided in each data file to facilitate matching to other MCS data files. Multi-stage stratified random sample Face-to-face interview
https://www.icpsr.umich.edu/web/ICPSR/studies/35519/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35519/terms
The 2012 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 2012 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 and school-age child care (ECE/SACC) public policy. The 2012 NSECE calls for nationally-representative samples including interviews in all 50 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. Level 1 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. For additional information about this study, please see: NSECE project page on the OPRE website 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.