Enhancing the PSID Child Development Supplement

这一项目将加强从两波儿童发展补充中获得的数据，这是一项对全国有代表性的儿童样本进行的纵向研究，其中低收入家庭的儿童样本过多。 最初于1997年对0-12岁的儿童进行了调查，5年后，即2002-2003年，对现在5-18岁的同一批儿童进行了调查。 自1968年以来，在全国代表性的收入动态小组研究（PSID）中，这些儿童的父母，祖父母和家庭成员的信息已经收集了33次。 该项目的重点是寻求资金，从四个方面改进数据。 首先，将提供有关儿童的中学/高中课程入学和成绩信息的详细编码，包括教育机会、学业进展和成绩的编码。 其次，将在CDS数据与其他数据源之间建立链接，这些数据源提供CDS样本中儿童的学校特征信息，例如国家教育统计中心的行政数据。 第三，将从原始数据中创建各种量表和指数，并在基于互联网的数据中心上提供，包括评估个性，心理健康，家庭环境以及认知和学术成就的量表。 最后，该项目将通过为研究人员创建合并数据集来分析CDS数据和来自收入动态小组研究（PSID）的父母/家庭数据，从而增强基于互联网的数据基础设施。 这些活动将促进教学、培训和学习，为广大研究界使用高度复杂的代际数据提供便利。 通过这些改进，PSID-CDS的组合数据结构将允许来自许多学科的分析师通过互联网访问有关儿童、其父母、祖父母和其他亲属的相关信息，以利用PSID丰富的代际和长面板维度。

This project will enhance the data being derived from two waves of the Child Development Supplement (CDS), a longitudinal study of a nationally representative sample of children with an oversample of children from low-income families. Initially conducted in 1997 with children aged 0-12, the same children, now aged 5-18, were interviewed 5 years later in 2002-2003. Information on the parents, grandparents, and family members of these children has been collected in 33 waves since 1968 in the nationally representative Panel Study of Income Dynamics (PSID). The focus of this project is to seek funds to improve the data in four ways. First, detailed coding of middle school/high school course enrollment and performance information about the children will be provided, including codes for educational opportunity, academic progress and achievement. Second, links will be created between the CDS data and other data sources that provide information about school characteristics of the children in the CDS sample, such as administrative data from the National Center for Education Statistics. Third, various scales and indices will be created from the raw data and provided on the Internet-based data center, including scales assessing personality, psychological well-being, home environment, and cognitive and academic achievement. Finally, this project will enhance an Internet-based data infrastructure by creating merged data sets for researchers to use to analyze both the CDS data and the parent/family data from the Panel Study of Income Dynamics (PSID). These activities will promote teaching, training, and learning by facilitating the use of highly complex intergenerational data by a broad research community. With these enhancements, the combined data structure of the PSID-CDS will allow analysts from many disciplines Internet access to linked information on children, their parents, their grandparents, and other relatives to take advantage of the rich intergenerational and long-panel dimensions of the PSID.