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Building a framework for institutional change: The small worlds of Assets for Independence Act grantees and their financial partners.

机译:建立制度变革的框架:《独立资产法案》受助人及其金融伙伴的小世界。

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The study tests whether the intersectoral relationships of 157 grantees of the U.S. Department of Health and Human Services' (USDHHS) Assets for Independence (AFI) Demonstration Project and their financial partners form a small world network structure. Small world networks are networks of relations that are made up of clustered groups of network members connected through random, inter-cluster ties. The small world network structure allows small changes in relations at the local level (i.e., within clusters) to have macro impact within the wider, global network. Such networks have been found to be more efficient in transmitting messages and to have more sustainable relationship structures.; After finding that the network structure of the AFI Demonstration Project grantees and financial partners is a small world, the study performs two tests of correlation. The first Quadratic Assignment Procedure (QAP) tests whether the intercluster ties of the grantees correlated with the overall structure of the network. The second QAP tested whether the emergent network structure was related to the distribution of grantees across USDHHS regional designations. While both tests found significant Pearson Correlation values, neither had strong correlations indicating that other variables are influencing the distribution of relationships. The limited findings for the study frame more in-depth studies to be performed, including innovative methods of network analysis, to further understand the multi-sector relationships of asset-building programs.
机译:该研究测试了美国卫生与公共服务部(USDHHS)的独立资产示范项目(USDHHS)的157名受赠方与他们的财务伙伴之间的部门间关系是否形成了一个小的世界网络结构。小型世界网络是关系网络,由通过随机的集群间联系连接的网络成员的群集组组成。小型的世界网络结构允许在本地级别(即集群内)的关系发生小的变化,从而在更广泛的全球网络中产生宏观影响。已经发现这样的网络在发送消息方面更有效并且具有更可持续的关系结构。在发现“ AFI示范项目”受赠方和财务合作伙伴的网络结构很小之后,该研究进行了两项相关性测试。第一个二次分配过程(QAP)测试受赠者的集群间关系是否与网络的整体结构相关。第二个QAP测试了紧急网络结构是否与USDHHS区域指定中受赠方的分布有关。尽管两个测试都发现了显着的Pearson相关性值,但都没有强相关性,表明其他变量正在影响关系的分布。该研究的有限研究结果使人们需要进行更深入的研究,包括创新的网络分析方法,以进一步了解资产建设计划的多部门关系。

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