Interactional Challenges and Researcher Reflexivity: Mapping and Analysing Conversational Space
提出结合视觉与文本信息的方法，通过绘制对话空间图分析访谈中的言语序列长度和转换速度，帮助研究者识别互动挑战、提升反思性，适用于博士培训和研究团队。
This paper argues that a combination of visual and textual information can help researchers engage critically with their interviewing practice, identify interactional challenges and advance their reflexivity. It proposes a mapping and analysis of conversational space in qualitative interviews based on the length of speech sequences and the speed by which these move from one party to the other. Such verbal exchanges are represented visually in a conversational space map (CSM) allowing researchers to identify moments for further textual analysis and explore their interviewing practice and wider research context. It sensitises researchers to their preferred patterns of verbal interaction and the effect of these on the continuing interview, enabling them to engage more meaningfully with research participants. The process proposed here may be particularly valuable for doctoral training and supervision as well as for research teams.