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

被引：17

作者：

Orr, Elizabeth R. ^{[1
]}

Ballantyne, Marilyn ^{[1
,2
]}

Gonzalez, Andrea ^{[3
]}

Jack, Susan M. ^{[1
]}

机构：

[1] McMaster Univ, Sch Nursing, HSC 2J32,1280 Main St West, Hamilton, ON L8S 4K1, Canada

[2] Holland Bloorview Kids Rehabil Hosp, Toronto, ON, Canada

[3] McMaster Univ, Dept Psychiat & Behav Neurosci, Hamilton, ON, Canada

来源：

ADVANCES IN NURSING SCIENCE | 2020年 / 43卷 / 03期

关键词：

arts-based methods; data collection; qualitative interviews; qualitative methods; qualitative research; visual data; GRAPHIC ELICITATION; PHOTOVOICE; MAPS;

D O I：

10.1097/ANS.0000000000000321

中图分类号：

R47 [护理学];

学科分类号：

1011 ;

摘要：

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.

引用

页码：202 / 213

页数：12

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