CHIME Analysis Core (AnC)

RCMAR CHINE分析核心项目总结 CHINE分析核心(ANC)的主要任务是提供数据收集和分析支持，以 RCMAR科学家和促进新的调查路线，将解决我们的主题“发展， 调整和评估改善少数民族老年人健康的干预措施“，其中包含了一些要素 科学重点的两个RFA领域：i)旨在了解和修改组织或 在以后的生活中，个人行为与积极和消极的健康结果相关，包括组织 和卫生保健系统中的个人干预，以及ii)对影响人口老龄化的因素的研究， 以及人口老龄化的后果。非国大的三个具体目标是：1)提供 为CHINE RCMAR科学家提供全面的方法学和统计支持，包括定性数据 方法(例如，焦点小组和认知访谈)和定量数据方法， 实施、分析和传播组织和个人行为干预，2)提供 接触最先进的分析方法和方法，用于分析次要数据 了解影响人口老龄化的因素，特别是对少数群体，3)帮助RCMAR的科学家使用 或修改现有的测量方法，或开发新的行为或社会测量工具，供中期使用 生活或老年人口，特别是社会经济地位较低或其他社会弱势群体。这个 非国大将把RCMAR的科学家与兰德·帕迪研究生院的新方法中心联系起来 加州大学旧金山分校在线实施科学课程，以及由ANC共同领导的定性数据分析课程 主任Gery Ryan博士；每一项都将支持针对这两个重点领域的研究的发展(I) 和(Ii)。此外，非国大将向所有RCMAR科学家提供支持，以解决已识别的测量问题 和方法问题，通过将核心和/或咨询教职员工与RCMAR科学家基于特定的 教师的方法论专长和先导研究的需要。非国大也将提供援助 根据需要提供数据管理以及统计和方案编制支助，以促进高质量的 关于中心主题的研究。

Project Summary for the RCMAR CHIME Analysis Core The primary mission of the CHIME analysis core (AnC) is to provide data collection and analysis support to RCMAR Scientists and to promote new lines of investigation that will address our theme of “Developing, Adapting and Evaluating Interventions to Improve the Health of Minority Elders”, which incorporates elements of two of the RFA areas of scientific focus: i) research aimed at understanding and modifying organizational or individual behaviors associated with positive and negative health outcomes in later life, including organizational and individual interventions in the health care system, and ii) research on factors that affect population aging, as well as the consequences of population aging.The three specific aims of the AnC are to: 1) Provide comprehensive methodological and statistical support to CHIME RCMAR Scientists including qualitative data methods (e.g., focus groups and cognitive interviews) and quantitative data methods for developing, implementing, analyzing, and disseminating organizational and individual behavioral interventions, 2) Provide exposure to state-of-the-science analytic methods and approaches for the analysis of secondary data to understand factors that affect population aging, particularly for minorities, 3) Assist RCMAR Scientists with use or modification of existing measures, or developing new behavioral or social measurement tools for use in mid- life or elderly populations, particularly those of low socio-economic status or other societal disadvantages. The AnC will connect RCMAR Scientists with the new Methods Centers at the RAND Pardee Graduate School, the online UCSF Implementation Science Curriculum, and a qualitative data analysis course led by AnC co- director Dr. Gery Ryan; each of which will support the development of research addressing both focus areas (i) and (ii). In addition, the AnC will provide support to all RCMAR Scientists in addressing identified measurement and methods issues, by matching Core and/or consulting faculty with RCMAR Scientists based on the specific methodologic expertise of the faculty and the needs of the pilot studies. The AnC will also provide assistance with data management and statistical and programming support as needed, in order to facilitate high-quality research adressing the Center theme.