Sentences with phrase «data on child outcomes»

2015 - 2016 Child Outcome Data: Identify Strengths or Concerns Plan for Action This Part B document provides an action plan with instructions for analyzing data on Child Outcomes summary ratings.

Not exact matches

Moreover, data for exposures in almost all studies were based only on maternal recall, sometimes some years after the exposures, although studies have shown that mothers remember breastfeeding durations many years after breastfeeding has stopped.55 - 57 Furthermore, research shows that mothers of sick children sometimes remember early exposures of their children in greater detail compared with mothers of healthy children, especially when the exposures are publicly perceived to be associated with the outcome studied.

Results published in the American Journal of Public Health were based on evaluation data from Legacy for ChildrenTM, a public health intervention program designed to improve child outcomes by promoting positive parenting among low - income mothers of infants and young children.

The researchers used the gold standard data from the Head Start Impact Study (HSIS), a randomized trial, to examine the effect of Head Start on parent outcomes rather than on child outcomes.

This action, announced in advance, provided a unique opportunity to compare data on ambient PAH levels, biomarkers, and health outcomes in two successive cohorts of children, with and without prenatal exposure to emissions from the coal - fired power plant.

Using data from a sample of 2,615 active duty military families, living at designated military installations with a child ages 3 - 17, a group of researchers led by Dr. Patricia Lester, of the University of California, Los Angeles (UCLA) Semel Institute for Neuroscience and Human Behavior, examined the impact of FOCUS on behavioral health outcomes, including depression, anxiety, and child pro-social behavior over two follow up assessments.

Much of her work has examined this environmental justice question in the context of ambient air pollution and indoor chemical exposures, prenatal exposures and effects on birth outcomes and children's health, often using community - based participatory research approaches for data collection and risk communication.

Researchers Raj Chetty and John N. Friedman of Harvard University and Jonah E. Rockoff of Columbia University analyzed school - district data from grades 3 — 8 for 2.5 million children, and linked those data to information on student outcomes as young adults.

A research assistant will be supervised by Dr. Kim and will be responsible for organizing a student - level data set that will be used for the impact analyses, cleaning the data set at each wave of data collection, monitoring and reporting attrition across waves, and conducting descriptive analyses to check for baseline equivalence, attrition across waves, and posttest differences on the child - level outcomes.

The Scope of this project is to: - Provide seed funding and support pilot implementation of ideas resulting from the June 2014 design workshop on improving outcomes for babies in foster care; - Launch pilots of co-designed strategies for working collaboratively with parents in creating daily, regularized family routines in four sites and evaluate executive function skills, child development, child literacy and parental stress levels of participants pre -, during, and post-intervention; - Build a core group of leaders to help set the strategic direction for Frontiers of Innovation (FOI) and take on leadership for parts of the portfolio; - With Phil Fisher at the University of Oregon and Holly Schindler at the University of Washington develop a measurement and data collection framework and infrastructure in order to collect data from FOI - sponsored pilots and increase cross-site and cross-strategy learning; Organize Building Adult Capabilities Working Group to identify, measure and develop strategies related to executive function and emotional regulation for adults facing high levels of adversity and produce summary report in the fall of 2014 that reviews the knowledge base in this area and implications for intervention, including approaches that impact two generations.

We address these two questions by analyzing school - district data from grades 3 — 8 for 2.5 million children, linked to information on their outcomes as young adults and the characteristics of their parents.

These conclusions are borne out in two broad sets of data: one based on longitudinal studies of parenting and high quality programs starting in infancy and the other based on more recent studies on the impact of preschool attendance on child outcomes.

Leaving School Empty Handed: A Report on Graduation and Dropout Rates for Students who Receive Special Education Services In New York City This report examines the graduation outcomes of the more than 170,000 children currently classified as having disabilities and in need of special education services in New York City, based on Federal, New York State and New York City data from the school years between 1996 - 1997 and 2003 - 2004....

Without clear, concise, and accessible data on learning outcomes, parents are often left to roll the dice when it comes to finding the best educational learning option for every child.

The last study investigates the differential effects of neighborhoods on disparities in children's behavioral school - readiness outcomes using the Fragile Families and Child Wellbeing Study (FFCWS)-- a rich longitudinal data that follows nearly 5,000 children between birth and nine years of age.

Her piece in the Washington Post spoke of what she saw and heard in classrooms and from leaders that reinforced to her that educating the «whole child» (or also known as social - emotional learning) isn't just jargon or a fad, but a shift in the mindset of leaders and teachers that is yielding real impact on student outcomes (and is supported by emerging data - based research).

Drawing on data from the Baltimore School System, they calculate the value of summer learning at different educational stages and compare outcomes for children of different economic backgrounds.

This report draws from a scholarly discussion paper The National Institute for Early Education Research (NIEER) produced for the Organisation for Economic Co-operation and Development (OECD) that presented the pros and cons of various instruments used for reporting on international data of children's cognitive and social outcomes.

For example, participating private schools in the McKay Scholarship Program in Florida are not required to report any evidence or data of student outcomes.36 Similarly, the Georgia Department of Education releases an annual report at the end of school year for its Special Needs Scholarship Program, but it does not include any information on student achievement.37 Parents can not make informed decisions about the best school for their child without comparable data on student outcomes.

'' Using Sibling Data to Estimate the Impact of Neighborhoods on Children» s Educational Outcomes

They've analyzed about 58,000 cases and use factors like income, number of children, the length of the marriage, etc., and «based on data from other cases that are similarly situated, tell you what the likely outcome of your case is, how long it's going to take, and how much it's gonna cost.»

The Child Specialist is informed by research and clinical data on the long term outcomes for children.

In addition to demographic and alcohol, drug, and smoking information, data were collected from the mothers on a broad range of background characteristics known to influence child cognitive and neurobehavioral outcome.

The original study assessed the effects of abuse and household dysfunction during childhood on long - term health and quality - of - life outcomes.22 A subanalysis of these data by Dube et al23 demonstrated that adults who were exposed to IPV as children were 6 times more likely to be emotionally abused, 4.8 times more likely to be physically abused, and 2.6 times more likely to be sexually abused than children who were not exposed to IPV.

These findings extend the substantial body of behavioral data demonstrating the deleterious effects of poverty on child developmental outcomes into the neurodevelopmental domain and are consistent with prior results.8, 9 Furthermore, these study findings extend the available structural neuroimaging data in children exposed to poverty by informing the mechanism of the effects of poverty on hippocampal volumes.

Changes in rates of child diagnoses from baseline to 3 months as a function of mother's remission and subsequently mother's level of response were analyzed using a repeated measures analysis with binary response data, using generalized estimating equation (GEE) methods.27 A linear probability model with an identity link function (rather than a logit - link function) was used to model interactions on the additive scale28 and to model a dose - response function using rates (rather than odds) as the outcome measure because we considered risk differences to be a more relevant measure than odds ratios in our study.

Data were extracted on type and intensity of the intervention, target group, extent of programme integration with the child's medical care, level of training of the intervener, consistency of the delivery of the intervention, the extent to which a theoretical model was used to develop the intervention, study design, sample size, patient baseline characteristics, follow up, and outcome measures.

We developed a data extraction tool for the descriptive coding and extracted information on (1) study design, (2) sample characteristics, (3) setting, (4) intervention details, (5) outcome measures and (6) child age at postintervention and at follow - up.

Continued evaluation of implementation and outcome data will provide additional insight regarding the impact of CFA on child welfare outcomes.

Improving Outcomes Together: Court and Child Welfare Collaboration (PDF - 280 KB) Children and Family Research Center & National Child Welfare Resource Center on Legal and Judicial Issues (2005) Explores the ways juvenile and family courts and child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in theOutcomes Together: Court and Child Welfare Collaboration (PDF - 280 KB) Children and Family Research Center & National Child Welfare Resource Center on Legal and Judicial Issues (2005) Explores the ways juvenile and family courts and child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in their Child Welfare Collaboration (PDF - 280 KB) Children and Family Research Center & National Child Welfare Resource Center on Legal and Judicial Issues (2005) Explores the ways juvenile and family courts and child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in theChildren and Family Research Center & National Child Welfare Resource Center on Legal and Judicial Issues (2005) Explores the ways juvenile and family courts and child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in their Child Welfare Resource Center on Legal and Judicial Issues (2005) Explores the ways juvenile and family courts and child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in their child welfare agencies share data and information and collaborate outside the courtroom in order to improve outcomes for children in theoutcomes for children in thechildren in their care.

Organizations that collect data on service provision and child and family outcomes can use it to analyze the effectiveness of their programs and consider adapting services, policies, and procedures as necessary.

Although a well - done study, it did not report data on long - term outcome as the children and parents were only studied before the start of the 8 - week program and at completion.

The data collected include information on outcomes of child abuse reports, numbers availing of family support services, numbers and categories of children in care, numbers availing of youth homelessness services, and services for separated children seeking asylum.

Group parenting programmes have been shown to have a positive impact on the mental health of children and parents in the short term.9 — 12 Positive results have been obtained from randomised controlled trials and other studies with parents of children with clinically defined behaviour disorders, 9,13,14 children at high risk of behaviour problems, 9,15 and to a lesser extent with normal populations.16, 17 They have also been obtained in trials of interventions for parents and children of different ages.18, 19 The number of trials carried out in the UK is small.13, 15,20,21 A recent systematic review concluded that these programmes are effective in the long term, 12 but most of the trials on which this review was based used a waiting list control design, and as a result outcome data are not reported on the control groups beyond 6 months.

This article focuses on the MDI development and validation, and not on school - or neighborhood - level aggregation of data, neighborhood - level linkage to socio - economic status data, or longitudinal, child - level linkage to data on earlier or later education or health outcomes.

Strengthening Child Protective Services Intake (PDF - 343 KB) North Carolina Family and Children's Resource Program and North Carolina Division of Social Services (2011) Focuses on child protective services intake in North Carolina by examining administrative and outcome data while exploring ways to educate community partners about child protective services (CPS) intake / screeChild Protective Services Intake (PDF - 343 KB) North Carolina Family and Children's Resource Program and North Carolina Division of Social Services (2011) Focuses on child protective services intake in North Carolina by examining administrative and outcome data while exploring ways to educate community partners about child protective services (CPS) intake / screechild protective services intake in North Carolina by examining administrative and outcome data while exploring ways to educate community partners about child protective services (CPS) intake / screechild protective services (CPS) intake / screening.

In addition to the positive outcomes for children and families, summary data indicate a number of cost - saving benefits for Federal and State governments and agencies, including reduced spending on Medicaid, food stamps, and other assistance programs.

The Australian Early Development Index is an adaption of the Canadian Early Development Instrument.6, 7 It has been the subject of numerous reliability and validity studies.8 — 13 Studies have also shown teacher ratings on the questionnaire to be more reliable and consistent than parent ratings, 11,14 and that these ratings predict later educational outcomes.8, 15 In addition to the developmental data, the AEDI census also provides information on any special needs the child might have, the child's care and educational arrangements prior to enrolling at school as well as demographic data, attendance and geographical information about where the child lives.

Despite decades of research describing the harmful effects of family poverty on children's emotional and behavioral development, eg,12 - 17 experimental or quasi-experimental manipulations of family income that could go beyond description are rare18 and tend to examine the effect of such manipulations on physical health or academic attainment, rather than emotional or behavioral functioning.19, 20 Other analyses of the Great Smoky Mountains data set have focused on educational and criminal outcomes.21 The few studies looking at emotional or behavioral outcomes tend to have a short time frame.22, 23 Some studies of school - based interventions have followed up with children through to adulthood, 24,25 but we have found none that have looked at the long - term effects of family income supplementation on adult psychological functioning.

Alabama Gov. Robert Bentley (R) created a children's cabinet by executive order in 2016.10 The cabinet serves as an advisory body on issues that the state's children face — formulating policy solutions and encouraging innovation.11 The cabinet focuses on developing a comprehensive strategy to early learning through a uniform approach to data collection, quality assurance, and outcomes measurement.12 The governor chairs the cabinet, which also includes the state superintendent for education, the commissioner for mental health, and the executive director for youth services.

Context effects and genetic effects are among the confounding factors that make it impossible, given current data, to reject the null hypothesis of zero long - term effects of parenting on child outcomes.

Adoption and Foster Care Statistics U.S. Department of Health and Human Services, Children's Bureau Statistics from the Adoption and Foster Care Analysis and Reporting System reported by State child welfare agencies, including data on permanency outcomes for children exiting fostChildren's Bureau Statistics from the Adoption and Foster Care Analysis and Reporting System reported by State child welfare agencies, including data on permanency outcomes for children exiting fostchildren exiting foster care.

This report presents evidence for HOPE (Health Outcomes of Positive Experiences) based on compelling data that reinforce the need to promote positive experiences for children and families in order to foster healthy childhood development despite the adversity common in so many families.

Current descriptive data on the state of infant care and scientifically based information on the inter-relatedness between specific components of quality and affordability of early education and care, the family environment, family characteristics, and children's developmental outcomes will produce valuable information that will inform early education policy regarding the needs of children and families.

The child specialist is informed by research and clinical data on the long term outcomes for children.

The session started with a brief overview of the study including the study design, data sources, progress and a snapshot of how children are faring since entering out - of - home care on the key developmental outcomes of physical health, socio - emotional wellbeing and cognitive / learning ability.

McDonough is a data manager who has worked on several projects at MDRC: Supporting Healthy Marriage (SHM) is an evaluation of marriage education programs targeting low - income, racially and ethnically diverse married couples; Head Start CARES (Classroom - based Approaches and Resources for Emotion and Social skill promotion) is a national evaluation of three evidence - based strategies to improve the social and emotional development of children in Head Start; the Mother and Infant Home Visiting Program Evaluation (MIHOPE) aims to build knowledge about the effectiveness of the new federally funded Maternal, Infant and Early Childhood Home - Visiting Program (MIECHV) in improving outcomes for at - risk children and families.

The major data sources for the research include data on families» characteristics when they enter the study, follow - up surveys and direct assessment of outcomes for couples and their children, program records documenting couples» participation in program activities, observation of program activities, and interviews with program staff.

Using publicly available community - level AEDI data, 62, 63 we ran a two - level multilevel logistic regression model for one aggregate developmental outcome measure (ie, risk of developmental vulnerability; figure 3A) and an example simulation (figure 3B) using a total sample of 181 500, with the proportion of Aboriginal children in each LGA derived from ABS estimates.64, 65 Binomial outcome data were simulated assuming a baseline risk of being vulnerable of 21 % and a community - level random effect based on the actual variation in the published data (figure 3A).

Data for the implementation and impact studies will be collected from a variety of sources, including interviews with parents; observations of the home environment; observed interactions of parents and children; direct assessments of children's development; observations of home visitors in their work with families during home visits; logs, observations, and interviews with home visitors, supervisors, and program administrators; program model documentation from program developers, grantees, and local sites; and administrative data on child abuse, health care use, maternal health, birth outcomes, and employment and earniData for the implementation and impact studies will be collected from a variety of sources, including interviews with parents; observations of the home environment; observed interactions of parents and children; direct assessments of children's development; observations of home visitors in their work with families during home visits; logs, observations, and interviews with home visitors, supervisors, and program administrators; program model documentation from program developers, grantees, and local sites; and administrative data on child abuse, health care use, maternal health, birth outcomes, and employment and earnidata on child abuse, health care use, maternal health, birth outcomes, and employment and earnings.