Wisconsin Study:Tracking the Life Course (RMI)

描述(由申请人提供)：这项建议是一个更大的项目的一部分，该项目分析调查访谈中对认知功能的评估，以描述我们通常认为的“认知”处理或功能的交互维度。我们研究受访者和受访者之间的互动如何有助于认知评估的结果，分析受访者如何使用社交互动资源来弥补可能的认知缺陷，寻找认知功能的互动指标，并确定互动的特征，这些互动可以用来改善对老年人的计算机辅助电话采访(CATI)调查的测量。该项目的交互数据由威斯康星大学老龄化与健康人口统计中心的一个重要而独特的功能提供，该中心是关于老龄化和生命过程的协作和多学科项目。在方法上，该计划和2004年威斯康星州纵向研究(WLS)电话调查结合了数千次采访的高质量数字语音记录。拟议的项目利用这些录音来研究和介绍方法创新。预计该项目的程序和结果将丰富和改进世界劳工组织P01其他组成部分的研究。在拟议的项目中，我们正在处理采访老年人关于他们的健康和福祉的一个中心悖论。在认知功能方面，基于调查答案的评估可能取决于互动本身受该功能的影响。为了理解交互作用和认知之间的关系，并改进认知测量，我们正在研究认知技能和交互作用技能之间的关系，试图在当前和未来的研究中找出能够提高认知功能测量质量的行为相关性。我们将对话分析的定性方法与交互编码的定量方法相结合，这一集成为定性和定量结果的交叉验证提供了强大的可能性。我们的项目是循序渐进的，首先识别与认知相关的交互现象，然后使用这些现象来应用和测试交互代码，最后对交互和认知之间的关系进行建模和定量测试。

DESCRIPTION (provided by applicant): This proposal is part of a larger project that analyzes assessments of cognitive functioning in survey interviews to describe the interactional dimensions of what we often think of as "cognitive" processing or functioning. We examine how the interaction between the interviewer and respondent contributes to the outcomes of cognitive assessments, analyze how respondents may use social, interactional resources to compensate for possible cognitive deficits, seek interactional indicators of cognitive functioning, and identify features of the interaction that can be used to improve measurement in Computer-Assisted Telephone Interview (CATI) surveys of older adults. The interactional data for the project are provided by an important and unique feature of the University of Wisconsin Center for the Demography of Aging and Health collaborative and multi-disciplinary program on aging and the life course. In its methodology, this program and the 2004 Wisconsin Longitudinal Study (WLS) telephone survey incorporates high quality digital voice recordings for thousands of interviews. The proposed project utilizes these recordings for studying and introducing methodological innovations. It is expected that the procedures and findings of this project will enrich and improve the research in other components of the WLS P01. In the proposed project, we are dealing with a central paradox in the interviewing of older adults with regard to their health and well-being. In terms of cognitive functioning, the assessment based on a survey answer may depend on interaction that is itself influenced by that functioning. In order to understand the relation between interaction and cognition, and to improve the measurement of cognition, we are studying the relationship between cognitive and interactional skills, seeking to identify behavioral correlates that could enhance the quality of measurements of cognitive functioning in current and future studies. We integrate the qualitative methods of Conversation Analysis with the quantitative approach of interaction coding, an integration that presents strong possibilities for cross validation of both qualitative and quantitative findings. Our project goes step-by-step, first identifying interactional phenomena related to cognition, then using these phenomena to apply and test interaction codes, and finally modeling and quantitatively testing the relation between interaction and cognition.