Using Intensive Longitudinal Methods to Study Conversations as Dynamic Dyadic Systems

使用强化纵向方法来研究动态二元系统的对话

• 批准号: 2140402
• 负责人: Denise Solomon
• 金额: $ 16万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2140402&HistoricalAwards=false
• 关键词: Using; Intensive; Longitudinal; Methods; Study

One of the most consequential aspects of how people relate to one another concerns their conversations. Back-and-forth exchanges can have many functions, such as providing support or encouragement, disagreeing with others, deepening connections, influencing others, or being influenced. Most people agree that conversations matter, but they may fail to understand the critical features that make conversations consequential. The analysis of how conversations unfold, and which communication patterns matter most, had been underdeveloped. However, research funded by the National Science Foundation developed the Dynamic Dyadic Systems approach, which provides analytic tools for studying interpersonal conversations and linking patterns of interaction to interpersonal outcomes. This project significantly expands the usability of a Dynamic Dyadic Systems approach by providing broad training through two conferences, the publication of research examples, and the development of online and freely accessible tutorials.The first conference brings together investigators from different fields who study topics that would benefit from new methods for analyzing dyadic conversations. Using data from studies conducted by these investigators, the conference expands the applicability of the Dynamic Dyadic Systems approach by analyzing face-to-face and digital interactions between strangers, co-workers, newlyweds, or parents and children. Projects from the first conference provide the basis for publications showcasing how the Dynamic Dyadic Systems approach can propel new discoveries about conversations. The products of the first conference, including data sets, tutorials, and reports, provide the materials for a second conference in which the novel techniques are demonstrated and shared with a broader audience of scholars. The project leverages a new approach to analyzing conversations by contributing open-source tutorials, code for statistical modeling on freely available software, and other resources, all of which are being made available online for broad use.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.

人们如何相互联系的最重要的方面之一是他们的谈话。来回交流可以有许多功能，如提供支持或鼓励、与他人意见相左、加深联系、影响他人或受到影响。大多数人都同意对话很重要，但他们可能无法理解使对话变得重要的关键特征。对对话如何展开以及哪些交流模式最重要的分析一直不够深入。然而，由国家科学基金会资助的研究开发了动态二元系统方法，该方法为研究人际对话提供了分析工具，并将互动模式与人际结果联系起来。这个项目通过两次会议提供广泛的培训，出版研究范例，开发在线和免费访问的教程，显著扩展了动态并元系统方法的可用性。第一次会议汇集了来自不同领域的研究人员，他们研究的主题将受益于分析并元对话的新方法。利用这些研究人员进行的研究数据，会议通过分析陌生人、同事、新婚夫妇或父母和孩子之间的面对面和数字互动，扩大了动态二元系统方法的适用性。第一次会议的项目为出版物提供了基础，展示了动态并元系统方法如何推动关于对话的新发现。第一次会议的产品，包括数据集、教程和报告，为第二次会议提供了材料，在第二次会议上，新技术被展示出来，并与更广泛的学者受众分享。该项目利用了一种新的方法来分析对话，贡献了开源教程、免费软件统计建模的代码和其他资源，所有这些资源都在网上广泛使用。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。

项目成果

A Dynamic Dyadic Systems Perspective on Interpersonal Conversation

人际对话的动态二元系统视角

• DOI: 10.1080/19312458.2023.2237404
• 发表时间: 2023
• 期刊: Communication Methods and Measures
• 影响因子: 11.4
• 作者: Solomon, Denise Haunani;Brinberg, Miriam;Bodie, Graham;Jones, Susanne;Ram, Nilam
• 通讯作者: Ram, Nilam