Nationally representative, longitudinal data describing functioning of and services for children who are reported to child protective services

This dataset contains results from the wave 3 survey completed by the twins who were 9 and older about themselves, administered in 2016. This contains measures related to the child's home and school environment, attitudes regarding books, home, school, and friends, and several behavioral surveys (PANAS, CADS, etc.).

The NYC KIDS Survey is a population-based telephone survey conducted by the Health Department. The survey provides robust data on the health of children aged 13 years or younger (2017: children aged 0-13 years; 2019: children aged 1-13 years) in New York City, including citywide and borough estimates, on a broad range of topics including physical and mental health, health care access, and school and childcare enrollment and learning. For more information, visit https://www1.nyc.gov/site/doh/data/data-sets/child-chs.page

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

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 NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

NCDS 37-Year Sample Survey (basic skills):
This NCDS sample survey was conducted in 1995, between the fifth (NCDS5) and sixth (NCDS6) full follow-up surveys of the NCDS cohort (NCDS5 was conducted in 1991 and NCDS6 in 1999-2000). The 1995 survey aimed to collect details about cohort members' basic skills. It was designed to supplement the information on self-reported literacy and numeracy problems gathered during the NCDS4 (conducted in 1981) and NCDS5 follow-ups, with objective assessments of skills in these areas. It provides for a detailed analysis of the extent, antecedents and correlates of basic skills in the NCDS cohort. See documentation for further details.

The full NCDS4 survey is held at the UK Data Archive under SN 5566, NCDS5 under SN 5567, and NCDS6 under SN 5578.

For the third edition (August 2008), the serial number has been replaced with a new one, variable Ncdsid. This change has been made for all datasets in the NCDS series. Further information may be found in the ‘CLS Confidentiality and Data Security Review’, included in the documentation.

The School of Education at the University of Cape Town (UCT) investigated children’s learning through digital play. The aim of the study was to explore the intersection between child play, technology, creativity and learning among children aged between 3 and 11 years. The study also identified skills and dispositions children develop through both digital and non-digital play. The data shared emerged from a survey of parents of children in the stated age group, with particular reference to the parents views on children's play practices, including time parents spent playing with their children, concerns parents had on time children spend playing on various technologies, types of play children in South Africa engaged in and the concerns of parents when children played with some electronic devices. The following data files are shared:SA - Survey - Children, Technology and Play (CTAP) - Google Forms.pdfDescriptive Stats 2020.1.9 -Children Technology and Play SURVEY.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey RAW PUBLIC DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.xlsxParent Survey REPORT DATA 2020.2.29 - Children Technology and Play Project.csvParent Survey RAW and REPORT DATA SYNTAX 2020.2.29 - Children Technology and Play Project.spsNOTE: This survey was adapted from Marsh, J. Stjerne Thomsen, B., Parry, B., Scott, F. Bishop, J.C., Bannister, C., Driscoll, A., Margary, T., Woodgate, A., (2019) Children, Technology and Play. UK Survey Questions. LEGO Foundation.

The purpose of this study was to assess the physical, social, and psychological well-being of American children, to develop a national profile of the way children in the United States live, to permit analysis of the relationships between the conditions of children's lives and measures of child development, and to examine the effects of marital disruption on the development of children and on the operation of single and multi-parent families. Information is provided on the child's well-being, family, experiences with family disruption, behavior, physical health, and mental health.

A detailed determination of the situation of children by means of 5 questionnaires.

1. Survey of parents about their background and the surroundings in which their child is growing up.

2. Survey of parents on their educational goals, supervision of the child and the child-parent relationship.

3. The situation and conduct of the child from the view of the parents.

4. Survey of the child about his situation, social contacts, self-image, family relations, school questions and personal attitudes.

5. Survey of the teacher on school achievement as well as characterization of the child.

Topics: 1. Parent survey about their personal background and description of the social surroundings in which the child is growing up: number of marriages up to now; duration and reason for dissolution of earlier marriages; number of children and ages of the children; regional and social origins; city size of place of birth; condition of health, primary occupation, employment intents and time of last employment of mother; characterization of job; these questions were also answered for the father.

1. Questions on upbringing and supervision of the children: primary person raising or supervising the child; place of upbringing and supervision; costs for supervision and satisfaction with current supervision; importance of religious instruction of children; regional mobility and number of changes of residence in the last 5 years; length of current local residency; the significance of environmental stress and crime in the neighborhood as reason to move; judgement on the neighborhood as surroundings for child-raising; judgement on local infrastructure facilities in view of the child; preferred institutions for sick care; housing situation and size of residence; monthly housing costs; most important source of income; frequency of money difficulties; manner of organization of leisure time and activities together with the child; educational goals; sanction practices; marriage conflicts and judgement on one´s own marriage; frequency of expressions of affection to the child as well as reasons for refusal; frequency of phases of nervousness and sadness of child; frequency of being fed up with the family and personal uncontrolled conduct regarding the child; perceptions of stress or boredom; significance of children for personal life up to now; judgement on the importance of upbringing as help in life for the child; general contentment with life.

2. Parent information about current situation of the child: serious injuries or accidents of the child; current condition of health; number of visits to the doctor; information on development in school; number of classes repeated and times of absence; discipline or behavior problems in school; desired educational level; number of playmates and familiarity of the friends with parents; assessment of sociability; satisfaction with general conduct of child in comparison to others; independence and learning ability; frequency of running away; psychological characterization of child (scale); medical treatments due to behavior disturbances and use of psychiatric drugs; athletic and artistic activities; time budget of child for television, homework, playing and contact with parents; most difficult child-raising period; current psychological closeness to child and expected changes; general judgement on the being of the child; number of pregnancies up to now; problems during pregnancy; desired pregnancy.

3. Survey of the child: leisure behavior and duties in household; boredom afternoons; preferred hobbies and leisure activities; frequency of playing without supervision; number of friends and characterization of them according to race and sex; trouble with friends; assessment of personal popularity among playmates; playing alone and feeling of loneliness; possession of a ´best friend´ and desire for more friends; judgement on the neighborhood and surroundings; information on ´current mother´ or reference person; detailed judgement on the upbringing style of mother as well as the upbringing style of father; relation to siblings; judgement on one´s own health; relationship with doctor; pretending illness; assessment of personal appearance and strength in comparison with other children; self-assessment of personal advantages and disadvantages; occupation desire; famous model; knowledge about current US president and preferred president; attitude to a woman or a Black as US president; frequency of concerns and fears; fear situations; ability to interpret correctly facial expressions in the form of sample pictures presented; conditions of great anxiety; modesty; conditions of great pleasure; general contentment with life; attitude to school; judgement on one´s own strength of achievement; favorite subjects; number of teachers and relation to home-room teacher; fights with classmates; difficulties with teachers due to such fights; interest in homework and help with homework; desire for change of...

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 British Preschool-Children's Play Survey, 2023, was designed to correspond in part with the British Children's Play Survey, conducted in 2020 (see SN 8793). The questions focused on children's play, screen time and mental health. For play, caregivers reported the time children spent playing in seven locations and the corresponding adventure levels. Caregivers then also reported the amount of time their child spent on screens for recreational and educational purposes and completed measures of their children's affect and mental health, as well as their own mental health. Data were collected via a survey conducted with a nationally representative sample of 1,166 parents/caregivers of children aged 2-4 years (52% male; 88% White), living in Britain.

The Head Start Family and Child Experiences Survey (FACES) has been a source of information on the Head Start program and the children and families it serves. The 2019 Head Start Family and Child Experiences Survey, or FACES 2019, is the seventh in a series of national studies of Head Start, with earlier studies conducted in 1997, 2000, 2003, 2006, 2009, and 2014. It includes nationally representative samples of Head Start programs and centers, classrooms, and children and their families during the 2019-2020 program year. Data from surveys of Head Start program and center directors and classroom teachers provide descriptive information about program policies and practices, classroom activities, and the background of Head Start staff. These data compromise the Classroom Study. A sample of these programs also provides data from parent surveys, teacher child reports, and direct child assessments as part of the Classroom + Child Outcomes Study. FACES 2019 is designed to help policymakers address current policy questions and to support programs and practitioners working with Head Start families. According to the study design, FACES would have assessed children's readiness for school, surveyed parents, and asked teachers to provide information on children in both fall 2019 and spring 2020. In response to the COVID-19 (for coronavirus disease 2019) pandemic, however, FACES 2019 cancelled the first piece--the in-person data collection of child assessments in spring 2020. In-person classroom observations as part of the Classroom Study were also cancelled in spring 2020. FACES is designed so that researchers can answer a wide range of research questions that are crucial for aiding program directors and policymakers. FACES 2019 data may be used to describe (1) the quality and characteristics of Head Start programs, teachers, and classrooms; (2) the changes or trends in the quality and characteristics of the classrooms, programs, and staff over time; (3) the school readiness skills and family characteristics of the children who participate in Head Start; (4) the factors or characteristics that predict differences in classroom quality; (5) the changes or trends in the children's outcomes and family characteristics over time; and (6) the factors or characteristics at multiple levels that predict differences in the children's outcomes. The study also supports research questions related to subgroups of interest, such as children with identified disabilities and children who are dual-language learners (DLLs), as well as policy issues that emerge during the study. The study addresses changes in children's outcomes and experiences as well as changes in the characteristics of Head Start classrooms over time and across the rounds of FACES. Some of the questions that are central to FACES include: What are the characteristics of Head Start programs, including structural characteristics and program policies and practices? What are the characteristics and observed quality of Head Start classrooms? What are the characteristics and qualifications of Head Start teachers and management staff? Are the characteristics of programs, classrooms, and staff changing over time? What are the demographic characteristics and home environments of children and families who participate in Head Start? Are family demographic characteristics and aspects of home environments changing over time? How do families make early care and education decisions? What are the experiences of families and children in Head Start? What are the average school readiness skills and developmental outcomes of the population of Head Start children in fall and spring of the Head Start year? What gains do children make during a year of Head Start? Are children's school readiness skills (average skills or average gains in skills) improving over time? Does classroom quality vary by characteristics of classrooms, teachers, or programs? What characteristics of programs, teachers, or classrooms are associated with aspects of classroom quality? Do the school readiness skills of children in fall and spring and their gains in skills vary by child, family, program, and classroom characteristics? What is the association between observed classroom quality and children's school readiness skills? Between child and family characteristics and children's school readiness skills? The User Guide provides d

Abstract

The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments, such as the United Nations General Assembly Special Session (UNGASS) on HIV/AIDS and declarations issued by the League of Arab States and related institutions and organizations concerned about child rights in Arab countries, and the Cairo Declaration “Towards an Arab World Fit for Children”, and the Second Arab Work Plan for Children (2004-2015) that was adopted at the Arab Summits.

The 2006 Yemen Multiple Indicator Cluster Survey has as its primary objectives: - To provide up-to-date information for assessing the situation of children and women in Yemen; - To furnish data needed for monitoring progress toward goals established in the Millennium Declaration, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action; - To contribute to the improvement of data and monitoring systems in Yemen and to strengthen technical expertise in the design, implementation, and analysis of such systems.

Survey Content MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.

Survey Implementation The survey was implemented by the Ministry of Health and Population, with the support and assistance of UNICEF and PAPFAM. Technical assistance and training for the surveys was provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.

Geographic coverage

The survey is nationally represe ntative and covers the whole of Yemen, excluding islands and the nomadic population.

Analysis unit

Households (defined as a group of persons who usually live and eat together)

De jure household members (defined as memers of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household) Ever-married

women aged 15-49

Children aged 0-4

Universe

The survey covered all de jure household members (usual residents), ever-married women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Yemen MICS sample design was a two-stage stratified cluster sample. The following parameters were accounted for in designing the sample:

1 - The sample is to provide estimates with reasonable precision at national and urban/rural levels. 2 - The residents of the Yemeni islands and the nomadic population are excluded from survey coverage. 3 - The size of ultimate cluster is 20 households 4 - It is approximately self-weighted design.

Sample allocation The sample is allocated proportionally between urban and rural strata; the percentage of households that should be allocated to urban and rural areas was obtained from the 2004 Census. As the ultimate cluster is determined to be 20 households, the number of sample clusters is therefore 200. The proportional allocation of the sample is such that 142 for rural stratum and 58 for urban stratum.

Sample Selection The sample is to be selected in two stages. The Primary Sampling Unit (PSU) is a village (or a group of villages) in rural areas and a lane (hara) in urban. The micro data of the 2004 Census at these administrative levels has been relied upon to create frames for the first stage sample. The following provides a description of the sample selection in both stages:

First Stage Sample The 2004 Census data (numbers of households and population) for all urban and rural agglomerations have been utilized to create appropriate frames for the first stage sample of urban and rural strata. It was taken into account that the PSU size would be in the range 150-300 households approximately. The creation of a rural frame has entailed grouping neighboring small villages so as to create PSUs in the range of 150-300 households each. Hence, a rural PSU is in most cases a group of small villages. The whole village is considered a PSU as long as its size is in the range 150-300 households.

The situation in urban areas is quite different from rural areas since most lanes (Haras) are much larger than the indicated range of the desired PSU size. For this reason, a second (dummy) sampling stage is necessary to reduce the burden of field listing whenever the lane size is above 300 households. The first urban stage sample included 41 PSU's that required division into equally sized parts. Whereas only 4 PSU's in the rural sample needed to be divided into equal parts.

An implicit stratification has been introduced in both rural and urban frames of the PSUs. Governorates were ordered geographically in a serpentine fashion starting from the northwest corner moving to the northeast corner and back to the west, then to the east and so on till the last governorate. Moreover, as governorate are further divided into a number of directorates (modyriate), another process of implicit stratification within each governorate was implemented by geographically ordering directorates following the same way as for governorates. Undoubtedly, implicit stratification will contribute to more precise sample estimates at both national and urban/rural levels.

The selection of rural and urban first stage samples was made following the Probability Proportionate to Size (PPS) selection method. The employed measure of size (MOS) is the number of Households in each PSU as measured in the 2004 Census.

Second stage sample The selected PSU from the first sample stage, whether it was the whole PSU or a part of one, was updated in the field. A field operation was carried out in each PSU (or a part of it), which has been selected in the first stage sample so as to create an updated list of households for each sample PSU. These lists were used as sample frames for selecting the second stage sample.

The proposed selection method was determined in such a way so as to create compact ultimate clusters of 20 households in the rural sample, and non-compact ultimate cluster of the same size in the urban sample. The reason for selecting compact clusters for rural sample is that most of the rural sample PSU's are composed of several small villages which are, in most cases, located at the tops of adjacent mountains. The spread of the household sample over several small villages, within the same PSU, that would result from the systematic selection, would impose much difficulty in the main survey fieldwork. Hence it has been deemed operationally efficient to deal with the household list for each rural sample PSU as forming a circle. The selection of a single random number in the range of 1 - the total number of households in the list, will determine the entire household sample to be selected from the sample PSU. The household indicated by the selected random number and the subsequent 19 households in the list constitute the household sample to be selected from rural sample PSU's (keeping in mind the circular nature of the list).

In the case of the urban sample, however, an ordinary random systematic selection is suggested, so as to produce a non-compact cluster of 20 households. The households forming urban PSU (or a part of it) are not dispersed over a large area; hence the compact cluster is not justifiable.

Sampling deviation

No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Yemen MICS were structured questionnaires based on the MICS3 Model Questionnaire with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. The household questionnaire includes household listing, education, water and sanitation, housing characteristics, child labor, child discipline and disability.

In addition to a household questionnaire, questionnaires were administered in each household for ever-married women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child.

The women's questionnaire include women's characteristics, marriage, child mortality, birth history, tetanus toxid, maternal and newborn health, contraception and unmet need, and HIV and AIDS modules.

The children's questionnaire includes children's characteristics, birth registration and early education, child development, care for illness, and immunization.

From the MICS3 model Arabic version, the

The National Survey of Child and Adolescent Well-Being (NSCAW) is a nationally representative, longitudinal survey of children and families who have been the subjects of investigation by Child Protective Services. There are currently two cohorts of available data (NSCAW I and NSCAW II) drawn from first-hand reports from children, parents, and other caregivers, as well as reports from caseworkers, teachers, and data from administrative records. NSCAW examines child and family well-being outcomes in detail and seeks to relate those outcomes to experience with the child welfare system and to family characteristics, community environment, and other factors.

Units of Response: Children and Families in the Child Welfare System

Type of Data: Survey

Tribal Data: Unavailable

Periodicity: Irregular

Demographic Indicators: Disability;Ethnicity;Geographic Areas;Household Income;Household Size;Race

SORN: Not Applicable

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/pdfs_user_guides/IntroNSCAWWave1.pdf

Granularity: Individual

Spatial: United States

Geocoding: Unavailable

The 2015 Child Health, Emotional Wellness, and Development Survey (CHEWDS) was a population-based telephone survey conducted by the Health Department. The survey provided robust data on the health of children aged 0 to 12 years in New York City, including citywide and borough estimates, on a broad range of topics from health care access to nutrition. For more information see EpiQuery, https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ts&PopulationSource=CCHS&Topic=5&Subtopic=26

Starting with the Family Support Act of 1988, requirements for federal funding stipulate that child care subsidy rates be informed by market rates. In 1990 the federal government began a major investment in child care with the passage of the Child Care and Development Block Grant Act of 1990. Support of parental choice was a key component of this new block grant program that sent new money to states to support child care. Parental choice and state control of policy remained central when the program was expanded in 1996 as a part of welfare reform legislation. At that time, child care funding became known as the Child Care and Development Fund (CCDF).

States are required by the CCDF Final Rule to ensure that families receiving child care assistance have equal access to comparable care purchased by private-paying parents. A market rate survey (MRS) is a tool States use to achieve this program objective. Some States conduct surveys to collect the child care market rate and others use administrative data, such as data collected by child care resource and referral (CCR&R) and State licensing agencies, to analyze the market rate for child care.

This survey was one strategy used to collect child care market price data. Comparing findings garnered from different methods allows one to evaluate whether different data collection methods produce different price findings (convergent validity) and how well these data collection methods represent the child care market (criterion-related validity). These data can also be used to explore several validity issues of concern with market price studies.

The major areas of investigation in this survey include child care prices by type of care, geographic location, and price mode (hourly, daily, weekly, monthly). Other areas of investigation include capacity by age group, additional fees facilities charge, whether they care for subsidized children, and what affects the prices that they charge parents.

The National Survey of Children's Health, funded by the Maternal and Child Health Bureau (MCHB), is a module of the State and Local Area Integrated Telephone Survey (SLAITS) that is conducted by the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC). The survey was conducted to assess how well each state, and the nation as a whole, met MCHB's strategic plan goals and national performance measures. These goals include providing national leadership for maternal and child health, promoting an environment that supports maternal and child health, eliminating health barriers and disparities, improving the health infrastructure and systems of care, assuring quality care, working with states and communities to plan and implement policies and programs to improve the social, emotional, and physical environment, and acquiring the best available evidence to develop and promote guidelines and practices to assure a social, emotional, and physical environment that supports the health and well-being of women and children. The National Survey of Children's Health (NSCH) was designed to produce national- and state-specific prevalence estimates for a variety of physical, emotional, and behavioral health indicators and measures of children's experiences with the health care system. Respondents were asked an extensive battery of questions about the family, including parental health, stress and coping behaviors, family activities, and parental concerns about their children, as well as their perceptions of the child's neighborhood. Demographic information includes race, gender, family income, and education level.

The housing situation of children in the Federal Republic from the view of the children.

Topics: sense of well-being in one´s own children´s room; disturbing elements in one´s own children´s room; parents or child picking out furnishings for children´s room; new acquisitions of items of furniture or use of used furniture for the children´s room; objects picked out oneself; persons responsible for cleaning up the children´s room; tasks in the household; information on rooms for eating, doing homework, sleeping, making things with one´s hands, playing and conducting hobbies; rooms the child may not enter and in which he is undisturbed; preferred residence floor plan and preferred style for chairs, tables, desks, beds, closets, shelves and lamps; color preference; persons who should also like the desired room; circle of friends; satisfaction with size of circle of friends; places of contact with circle of friends and visits of friends in one´s own residence; frequency of such visits and attitude of mother to visits by friends; judgement of friends about one´s own room; comparison of one´s own room with the room of friends; hobbies; pet possession; desire for a pet; child-raising style of mother; prohibitions on the part of parents; amount of pocket-money; orientation of parents on the child; points of conflict in one´s family; judgement on the relationship of parents with each other; right of a child to his own room.

This data collection is comprised of responses from the March and April installments of the 2008 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2007. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.The April supplement, sponsored by the Department of Health and Human Services, queried respondents on the economic situation of persons and families for the previous year. Moreover, all household members 15 years of age and older that are a biological parent of children in the household that have an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2008. In March 2008, there were 4,522 household members eligible, of which 1,431 required imputation of child support data. When matching the March 2008 and April 2008 data sets, there were 170 eligible people on the March file that did not match to people on the April file. Child support data for these 170 people were imputed. The remaining 1,261 imputed cases were due to nonresponse to the child support questions. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The purpose of the project is to improve understanding of the causes and consequences of childhood poverty and examine how policies affect children's well-being, in order to inform the development of future policy and to target child welfare interventions more effectively. The objectives of the study are to provide good quality long-term data about the lives of children living in poverty, trace linkages between key policy changes and child welfare, and inform and respond to the needs of policymakers, planners and other stakeholders. Research activities of the project include the collection of data on a set of child welfare outcomes and their determinants and the monitoring of changes in policy, in order to explore the links between the policy environment and outcomes for children. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood. The Young Lives study aims to track the lives of 12,000 children over a 15-year period. This is the time-frame set by the UN to assess progress towards the Millennium Development Goals. Round 1 of the study followed 2,000 children (aged between 6 and 18 months in 2002) and their households, from both urban and rural communities, in each of the four countries (8,000 children in total). Data were also collected on an older cohort of 1,000 children aged 7 to 8 years in each country, in order to provide a basis for comparison with the younger children when they reach that age. Round 2 of the study returned to the same children who were aged 1-year-old in Round 1 when they were aged approximately 5-years-old, and to the children aged 8-years-old in Round 1 when they were approximately 12-years-old. Round 3 of the study returned to the same children again when they were aged 7 to 8 years (the same as the older cohort in Round 1) and 14 to 15 years. It is envisaged that subsequent survey waves will take place in 2013 and 2016. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves. Further information about the survey, including publications, can be downloaded from the Young Lives website. School Survey: A school survey was introduced into Young Lives in 2010, following the third round of the household survey, in order to capture detailed information about children’s experiences of schooling. It addressed two main research questions: • how do the relationships between poverty and child development manifest themselves and impact upon children's educational experiences and outcomes? • to what extent does children’s experience of school reinforce or compensate for disadvantage in terms of child development and poverty? The survey allows researchers to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. A wide range of stakeholders, including government representatives at national and sub-national levels, NGOs and donor organisations were involved in the design of the school survey, so the researchers could be sure that the ‘right questions’ were being asked to address major policy concerns. This consultation process means that policymakers already understand the context and potential of the Young Lives research and are interested to utilise the data and analysis to inform their policy decisions. The survey provides policy-relevant information on the relationship between child development (and its determinants) and children’s experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of the Young Lives study. School Survey data are currently only available for India and Peru. The India data are available from the UK Data Archive under SN 7478. Further information is available from the Young Lives School Survey webpages.

Child Dental Health Survey 2013, England, Wales and Northern Ireland The 2013 Children's Dental Health (CDH) Survey, commissioned by the Health and Social Care Information Centre, is the fifth in a series of national children's dental health surveys that have been carried out every ten years since 1973. The 2013 survey provides statistical estimates on the dental health of 5, 8, 12 and 15 year old children in England, Wales and Northern Ireland, using data collected during dental examinations conducted in schools on a random sample of children by NHS dentists and nurses. The survey measures changes in oral health since the last survey in 2003, and provides information on the distribution and severity of oral diseases and conditions in 2013. The survey oversampled schools with high rates of free school meal eligibility to enable comparison of children from lower income families* (children eligible for free school meals in 2013) with other children of the same age, in terms of their oral health, and related perceptions and behaviours*. The 2013 survey dental examination was extended so that tooth decay (dental caries) could be measured across a range of detection thresholds. This reflects the way in which the detection and management of tooth decay has evolved towards more preventive approaches to care, rather than just providing treatment for disease. This survey provides estimates for dental decay across the continuum of caries, including both restorative and preventive care needs*. Complementary information on the children's experiences, perceptions and behaviours relevant to their oral health was collected from parents and 12 and 15 year old children using self-completion questionnaires. The self-completion questionnaire for older children was introduced for the 2013 survey. ---------------------------------------------------------------------- *In 2013 when this survey took place, a free school meal was a statutory benefit available only to school aged children from families who received other qualifying benefits (such as Income Support). *Differences in clinical outcomes between socio-economic groups are likely to reflect different attitudes, behaviours and experiences relevant to oral health that may also be mediated through other demographic characteristics such as ethnicity and country of birth *Estimates from the four detection thresholds measured in the 2013 survey are available in Report 2.