Advanced Training Institute: NICHD-SECCYD

高级培训机构：NICHD-SECCYD

• 批准号: 7201641
• 负责人: STEVEN J BRECKLER
• 金额: $ 7.66万
• 依托单位: AMERICAN PSYCHOLOGICAL ASSOCIATION
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7201641
• 关键词: Address; Age; Area; Behavioral; Birth; Characteristics; Child; Child Behavior; Child Care; Child Development; Collaborations; Computers; Consult; Data; Data Analyses; Data Set; Databases; Development; Dictionary; Documentation; Educational workshop; Family; Funding; Goals; Hand; Home environment; Individual; Individual Differences; Infant; Institutes; Interview; Investments; Knowledge; Life; Link; Longitudinal Studies; Measures; Methodology; Methods; National Institute of Child Health and Human Development; Natural History; Outcome; Paper; Participant; Pattern; Phase; Phase I Clinical Trials; Procedures; Process; Property; Psychometrics; Publications; Publishing; Questionnaires; Range; Reporting; Research; Research Personnel; Sampling; Scholarship; Schools; Statistical Methods; Techniques; Testing; Time; Training; U-Series Cooperative Agreements; Universities; Work; Youth; analytical method; day; design; experience; grasp; indexing; innovation; instructor; instrument; interdisciplinary approach; large-scale database; lectures; programs; skills; tool

DESCRIPTION (provided by applicant): The broad objective of this project is to increase knowledge about and skills in accessing and using large scale databases as a normal part of the research process. The immediate goal of this application is to request funding for five annual training workshops to train researchers to access, analyze and use the data sets of the NICHD Study of Early Child Care and Youth Development (SECCYD), a longitudinal, comprehensive study of the development of children in the context of their family and in out of home environments. During the course of the 5-day Institute, expert instructors (study investigators and statistical analysts) will familiarize carefully selected participants with the NICHD study data. Topics covered will include the conceptual framework of the study, its methodological design, the documentation of research instruments, the documentation of the psychometric properties of a large subset of variables included in the analytical data sets and with the raw data sets. Participants will be able to consult with instructors about the most appropriate variables for their analyses, and about cutting-edge analytical methods. The workshops will include classroom lecture sessions, discussion sessions, and computer lab "hands on" sessions in which participants will access and use the data sets. The goal of the workshop is for participants to be able to independently use and train others to use the NICHD databases for original scholarship and publication. The Advanced Training Institute (ATI) will train about 20 researchers each year. Over the five years of the project, a cadre of about 100 researchers will develop expertise about the NICHD SECCYD databases and other databases. This knowledge will increase the return on investment in the creation of such large scale data bases in many ways: it will augment knowledge in the area of child development by encouraging multidisciplinary approaches, it will encourage large and detailed sample knowledge, it will encourage secondary analyses in ways that would not have been possible otherwise, and it will extend the utility of the data to a broad set of researchers beyond the original study investigators.

描述（由申请人提供）：该项目的总体目标是增加有关访问和使用大型数据库的知识和技能，作为研究过程的正常部分。该申请的直接目标是为五次年度培训研讨会申请资金，以培训研究人员访问、分析和使用 NICHD 早期儿童保育和青少年发展研究 (SECCYD) 的数据集，该研究是一项针对家庭背景下和家庭外环境中儿童发展的纵向、全面研究。在为期 5 天的研究所课程中，专家讲师（研究调查员和统计分析师）将使精心挑选的参与者熟悉 NICHD 研究数据。涵盖的主题将包括研究的概念框架、方法设计、研究工具的记录、分析数据集和原始数据集中包含的大量变量的心理测量属性的记录。参与者将能够向讲师咨询最适合其分析的变量以及最先进的分析方法。研讨会将包括课堂讲座、讨论会和计算机实验室“实践”课程，参与者将在其中访问和使用数据集。研讨会的目标是让参与者能够独立使用并培训其他人使用 NICHD 数据库进行原创学术研究和出版。 高级培训学院（ATI）每年将培训约20名研究人员。在该项目的五年内，大约 100 名研究人员将开发有关 NICHD SECCYD 数据库和其他数据库的专业知识。这些知识将以多种方式增加创建如此大规模数据库的投资回报：它将通过鼓励多学科方法来增加儿童发展领域的知识，它将鼓励大量而详细的样本知识，它将鼓励以其他方式不可能的方式进行二次分析，并将数据的效用扩展到原始研究调查人员之外的广泛研究人员。