Development of Econometric Models for Improved Estimation of Prevention Program B

开发计量经济学模型以改进预防计划 B 的估计

基本信息

批准号：
7779399
负责人：
Laura Griner Hill
金额：
$ 17.73万
依托单位：
WASHINGTON STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-03-15 至 2012-02-28
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): The purpose of the proposed project is to develop and test error correction techniques for evaluating outcomes of community-based universal prevention programs. The specific over-arching goal is to develop analytical techniques for improved estimation of program effectiveness in community settings. We propose, first, to develop an analytic approach to address multiple sources of bias in the testing of program effectiveness. Second, we will apply this novel approach to the analysis of data from an ongoing program implementation. Third, we will estimate the degree to which the three sources of error affect estimates of how individual characteristics impact program outcomes. The proposed project is innovative in its combining of existing error correction techniques to adjust for multiple sources of bias simultaneously. It is significant in that it will result in improved estimation of program effectiveness through the integration of individual-level with aggregate-level analytic techniques. In turn, improved estimation of program effectiveness will provide policy makers and managers the information needed to understand population-level program impact; to calculate program benefits more accurately; to compare different implementations of the same program; and to refine programming and recruitment strategies. PUBLIC HEALTH RELEVANCE: The proposed project will provide new methods of estimating program benefits with greater accuracy. This will enable researchers to calculate whether the benefits of community-based prevention programs out weight their financial costs. Such knowledge is helpful to policy makers as they decide how to prioritize limited resources for social programs.

描述（由申请人提供）：拟议项目的目的是开发和测试错误校正技术，以评估基于社区的通用预防计划的结果。具体的超级目标是开发分析技术，以改善社区环境中计划有效性的估计。首先，我们建议开发一种分析方法，以解决计划有效性测试的多种偏见来源。其次，我们将采用这种新颖的方法来分析正在进行的计划实施中的数据。第三，我们将估计三个错误来源影响个人特征如何影响计划结果的程度。拟议的项目在结合现有误差校正技术的结合方面具有创新性，以同时调整多种偏差来源。这很重要的是，它将通过将个体级别与汇总分析技术的整合进行整合，从而提高对程序有效性的估计。反过来，改进的计划有效性的估计将为政策制定者和经理提供了解人口级计划影响所需的信息；更准确地计算计划的好处；比较同一计划的不同实现；并完善编程和招聘策略。公共卫生相关性：拟议的项目将提供更高准确性估算计划收益的新方法。这将使研究人员能够计算基于社区的预防计划的益处是否将其财务成本加重。这种知识对制定者决定如何优先考虑有限的社会计划资源，这对他们有帮助。