权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

PROJECT 1: Child Policy Fit in Experimental Early Childhood Interventions

项目 1：儿童政策适合实验性早期儿童干预措施

基本信息

批准号：
8223358
负责人：
George Andrew Farkas
金额：
$ 19.73万
依托单位：
UNIVERSITY OF CALIFORNIA-IRVINE
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8223358
关键词：
Academic achievement Accounting Achievement Adolescence Adolescent Development Age Attention Behavioral Birth Caring Characteristics Child Child Care Childhood Cognitive Data Data Analyses Data Set Databases Development Disadvantaged Economically Deprived Population Economics Education Educational Curriculum Educational Intervention Elements Emotional Ensure Environment Evaluation Evaluation Research Family Family Characteristics Generations Goals Head Start Program Home environment Infant Infant Development Infant Health Instruction Intervention Intervention Studies Language Lead Learning Low income Measures Methods Nature Nursery Schools Oklahoma Oral Outcome Performance Persons Policies Policy Maker Population Predisposition Preschool Child Program Development Quality of Care Randomized Readiness Recommendation Research Research Personnel Risk Risk Factors Schools Science Series Staging Students Subgroup Temperament Testing Time Toddler Training and Education Treatment Efficacy Variant base design early childhood environmental change experience high risk human capital improved kindergarten literacy meetings peer programs research study skills standard measure teacher treatment effect

项目摘要

PROJECT SUMMARY (See instructions): We employ the child-environment fit perspective to derive and test hypotheses about which combinations of child, family, and child care program characteristics lead to larger child care treatment effects on cognitive and socio-emotional school readiness outcomes for children. We first test a compensatory hypothesis in which high-quality child care benefits at-risk children. This is an experimental test using data from five evaluations that employ an experimental manipulation of high-quality child care - t he Infant Health and Development Program (IHDP), Early Head Start (EHS), the National Head Start impact Study (NHSIS), and the randomized Preschool Curriculum Evaluation Research Study (PCER). Tests are also performed using the regression-discontinuity design of the Oklahoma Universal Pre-K program. A second set of experimental tests are of competing predictions from compensatory (least skilled children profit the most) and skill begets skill (the most skilled children profit the most) hypotheses using data from the IHDP, NHSIS, Oklahoma Pre-K, and PCER studies. Third, we use data from EHS, NHSIS, and PCER to test the protective hypothesis that certain personal and family factors protect at-risk children from the negative effects of low-quality care. We use these same data to test the cumulative disadvantage hypothesis that poor-quality programs are most detrimental for children with a high number of risk factors. Finally, we test the differential susceptibility hypothesis that children with difficult temperaments are at once hurt the most by low-quality care but helped the most by high-quality care. In addition, we will undertake analyses of two randomized databases ¿ the NHSIS and PCER -that provide very detailed information on variation in program characteristics, in order to determine which characteristics account for differential effects experienced by population subgroups. We will use an instrumental variables strategy that employs the variation in program characteristics due to the experimental treatment to provide unbiased estimates of the effects of these characteristics on child outcomes. We expect to produce recommendations for a new generation of preschool child care programs aimed at identifying effects of global and content-specific quality as well as other detailed aspects of quality, enabling program features to be better aligned to particular children's needs and background. In all cases in which data from the NHSIS are used to test these hypotheses, we will reconcile our results with those from Project Ill's use of distributional methods on the NHSIS.

项目概述（见说明）：