Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis

Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis
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DOI:
10.1080/13814788.2017.1375091
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发表时间:
2017-12-04
影响因子:
3.4
通讯作者:
Korstjens, Irene
Korstjens, Irene
中科院分区:
医学4区
文献类型:
--
作者:
Moser, Albine;Korstjens, Irene

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在我们多年的管理工作中,我们注意到定性研究往往会引起很多问题和担忧,即所谓的常见问题。本系列四篇文章旨在为初级保健研究新手提供进行高质量定性研究的实践指导。这里的“新手”指的是硕士生和初级研究人员,以及第一次从事定性研究的有经验的定量研究人员。本系列解决了他们的问题,并为研究人员、读者、审稿人和编辑提供了判断定性研究论文质量的标准和工具的参考。第二篇文章侧重于上下文,研究问题和设计,并参考出版物以进一步阅读。这第三篇文章讨论了关于抽样、数据收集和分析的常见问题。数据收集计划在开始时需要宽泛的定义和开放性,在数据收集过程中变得灵活。抽样策略的选择应使其产生丰富的信息,并与所使用的方法方法相一致。数据饱和度决定了样本量,每个研究的数据饱和度都是不同的。最常用的数据收集方法是参与式观察、面对面深度访谈和焦点小组讨论。对民族志、现象学、基础理论和内容分析研究的分析产生了不同的叙事发现:分别是对文化的详细描述、生活经验的本质、理论和描述性总结。第四篇也是最后一篇文章将关注可信度和出版定性研究。
In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By 'novice' we mean Master's students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.