Excellence in Research: Scaling Social Capital and Health across Space

在这个项目中，集体行动和集体效能对健康素养的影响进行了调查。这是为当地和偏远地区的群体进行的，包括他们所在地区的土著群体和重新安置到该区域的群体。数据的收集有两种方式，一种是通过调查进行统计分析，另一种是通过访谈。目标是为未来的学者、研究人员和从事健康和人口流动的社会决定因素及其在地方和全球层面的交叉点工作的实践者提供新的理论见解。该项目还将为代表性不足的学生提供实践研究经验，为他们提供进行实地考察的机会。本研究的结果对集体效能和健康素养的研究有理论和经验上的贡献，对公共卫生从业人员和决策者具有重要意义。本研究采用序贯混合方法了解集体效能与健康素养的关系。采用社区参与的方法与社区成员建立伙伴关系，对当地和重新安置的群体使用调查、焦点小组和访谈收集数据。具体而言，集体效能的主要组成部分——社会凝聚力、非正式社会控制和社会参与——及其与卫生素养的关系在两个群体的背景下都得到了衡量。样本量是根据混合方法检验估计的。数据分析酌情使用分层统计方法和定性编码方法。本项目由社会学项目、HBCU-EIR项目和建设与拓展项目共同支持。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

In this project, the effects of collective action and collective efficacy on health literacy are investigated. This is undertaken for local and remote groups, including those native to their area and those who have relocated into the region. Data are collected in two ways, through surveys, which are analyzed statistically, and through interviews. The goal is to produce new theoretical insights for future scholars, researchers, and practitioners working on social determinants of health and population movements and their intersections at the local and global levels. The project will also provide under-represented students with hands-on research experience by providing them with the opportunity to undertake fieldwork. Findings from this study contribute both theoretically and empirically to the study of collective efficacy and health literacy and are relevant to public health practitioners and decision makers.In this study, sequential mixed methods are used to understand the relationship between collective efficacy and health literacy. Drawing on a community-engaged approach for partnership building with community members, data are collected using, surveys, focus groups, and interviews for both local and relocated groups. Specifically, the main components of collective efficacy – social cohesion, informal social control, and social participation – and their relationship with health literacy are measured in both groups’ contexts. A sample size is estimated based on Mixed Methods Test. Data analyses use hierarchical statistical methods and qualitative coding methods as appropriate. This project is supported jointly by the Sociology Program, the HBCU-EIR Program, and the Build and Broaden Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.