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视觉启发法:在应用定性健康研究中提高访谈数据质量和深度的方法。

Visual Elicitation: Methods for Enhancing the Quality and Depth of Interview Data in Applied Qualitative Health Research.

作者信息

Orr Elizabeth R, Ballantyne Marilyn, Gonzalez Andrea, Jack Susan M

机构信息

McMaster University, School of Nursing, Hamilton, Ontario, Canada (Ms Orr and Drs Ballantyne and Jack); Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada (Dr Ballantyne); and Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (Dr Gonzalez).

出版信息

ANS Adv Nurs Sci. 2020 Jul/Sep;43(3):202-213. doi: 10.1097/ANS.0000000000000321.

Abstract

Generating rich data from interviews for a qualitative study can be difficult to operationalize; especially when difficulties establishing rapport, power imbalances, and participant factors threaten the interview process and quality of data. The aim of this methods article is to (a) discuss the value of incorporating visual elicitation tools or tasks within semistructured or in-depth qualitative interviews to enhance the depth of data generated and (b) provide a specific example of how this is planned and executed within the context of an applied qualitative health research study.

摘要

从访谈中为定性研究生成丰富的数据可能难以实施;尤其是当建立融洽关系存在困难、权力不平衡以及参与者因素威胁到访谈过程和数据质量时。本文的目的是:(a)讨论在半结构化或深入的定性访谈中纳入视觉启发工具或任务以提高所生成数据深度的价值;(b)提供一个具体示例,说明在应用定性健康研究的背景下如何规划和执行这一过程。

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