Excellence in Research: Scaling Social Capital and Health across Space

本研究旨在探讨集体行动与集体效能对健康素养的影响。这是为当地和边远群体进行的，包括他们所在地区的原住民和搬迁到该地区的人。收集数据的方式有两种，一种是通过调查，对其进行统计分析；另一种是通过访谈。其目标是为未来的学者、研究人员和从业者提供新的理论见解，这些学者、研究人员和从业者致力于在地方和全球层面上研究健康和人口流动的社会决定因素及其交集。该项目还将为代表人数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。本研究的研究结果为集体效能与健康素养的研究提供了理论和实证依据，并对公共卫生从业者和决策者具有一定的参考价值。利用社区参与的方法与社区成员建立伙伴关系，通过调查、焦点小组以及对当地和搬迁群体的访谈来收集数据。具体地说，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--及其与健康素养的关系是在这两个群体的背景下衡量的。基于混合方法检验估计了样本量。数据分析适当使用分层统计方法和定性编码方法。该项目由社会学项目、HBCU-EIR项目和建设和拓宽项目共同支持。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.