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纠错技术，以评估基于社区的普遍预防计划的结果。具体的总体目标是开发分析技术，以改进社区环境中项目有效性的估计。首先，我们建议开发一种分析方法来解决项目有效性测试中的多种偏差来源。其次，我们将应用这种新颖的方法来分析正在进行的项目实施的数据。第三，我们将估计这三个误差源对个体特征如何影响计划结果的估计的影响程度。该项目的创新之处在于它结合了现有的纠错技术，可以同时调整多个偏差源。其意义重大，因为它将通过个人层面与总体层面分析技术的整合来改进对计划有效性的估计。反过来，改进对计划有效性的估计将为政策制定者和管理者提供了解人口层面计划影响所需的信息；更准确地计算计划效益；比较同一程序的不同实现；并完善规划和招聘策略。公共卫生相关性：拟议项目将提供更准确地估计计划效益的新方法。这将使研究人员能够计算基于社区的预防计划的好处是否超过其财务成本。这些知识有助于政策制定者决定如何优先考虑社会项目的有限资源。