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

机译:系列:定性研究的实用指南。第3部分:采样,数据收集和分析

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Abstract 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.
机译:摘要在多年来的监督工作过程中,我们已经注意到,定性研究倾向于引起很多问题和忧虑,即所谓的常见问题(FAQ)。本系列的四篇文章旨在为新手研究人员提供实用的指导,以进行初级保健的高质量定性研究。 “新手”是指硕士生和初级研究人员,以及经验丰富的定量研究人员,他们是首次从事定性研究。该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参考标准和工具,以评判定性研究论文的质量。第二篇文章重点介绍了上下文,研究问题和设计,并参考了出版物以供进一步阅读。第三篇文章介绍有关采样,数据收集和分析的常见问题。数据收集计划首先需要进行广泛定义和开放,并在数据收集过程中变得灵活。抽样策略的选择应能产生丰富的信息,并与所使用的方法学方法相一致。数据饱和度决定了样本大小,并且每个研究都会有所不同。最常用的数据收集方法是参与者观察,面对面的深入访谈和焦点小组讨论。在人种学,现象学,扎根理论和内容分析研究中的分析得出不同的叙述结果:对文化的详细描述,生活经验的本质,理论和描述性摘要。第四篇也是最后一篇文章将重点讨论可信度和发布定性研究。

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