Mapping the terrain of person-centered supportive conversations
Mapping the terrain of person-centered supportive conversations
复制标题
绘制以人为本的支持性对话的范围
DOI：
10.1080/03637751.2018.1501503
复制
发表时间：
2018
影响因子：
2.5
通讯作者：
Carly M. Danielson
中科院分区：
文献类型：
--
作者：
Susanne M. Jones;G. Bodie;Lucas J. Youngvorst;Michael Navarro;Carly M. Danielson
摘要这项研究探索了支持性对话的对话场景，这些对话因以人为中心(PC)而有所不同。我们的团队转录和归并了223次对话，其中一名泄密者向一名受训的听众谈论了一件令人沮丧的事件，该听众受到了低(LPC)、中等(MPC)或高度以人为中心(HPC)的舒适感的培训。每句话都是用传统的九级层次结构的修改版本为PC编码的。HPC编码话轮占HPC会话的24%，而LPC编码话轮几乎占LPC会话的一半。超过95%的MPC会话被归类为MPC。此外，话轮水平编码和PC的全球评级预测结果存在差异。我们在对话的PC内容如何有助于认知重新评估的背景下讨论了这些对话简档的含义。
ABSTRACT This study explores the conversational terrain of supportive conversations that vary in person centeredness (PC). Our team transcribed and unitized 223 conversations in which a discloser talked about an upsetting event to a listener trained to exhibit either low (LPC), moderate (MPC), or highly person-centered (HPC) comfort. Each utterance was coded for PC with a modified version of the traditional nine-level hierarchy. HPC-coded turns comprised 24% of HPC conversations, while LPC-coded turns comprised almost half of LPC conversations. Over 95% of turns in MPC conversations were classified as MPC. Additionally, turn-level coding and global ratings of PC differentially predicted outcomes. We discuss the implications of these conversational profiles in the context of how the PC content of conversations might aid in cognitive reappraisal.