Fundamentals of qualitative analysis in family medicine
Fundamentals of qualitative analysis in family medicine
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DOI：
10.1136/fmch-2018-000040
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发表时间：
2019-05-01
影响因子：
6.1
通讯作者：
Babchuk, Wayne A.
中科院分区：
文献类型：
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作者：
Babchuk, Wayne A.
这篇文章的主要目的是为有兴趣进行定性研究的家庭医生研究人员提供一个分析的简明指南。借鉴流行的研究方法教科书中概述的方法，并使用来自少数群体健康差距研究的样本，本文概述了对家庭医学领域的研究人员和从业者有用的具体步骤。这一定性数据分析过程位于定性研究的更大框架内，以更好地定位那些新的定性设计，以便更有效地进行研究。提供了一个有助于指导定性数据分析的10步流程。这10个步骤包括(1)收集用于分析的数据，(2)重新熟悉数据，(3)开放或初始编码程序，(4)生成类别并为其分配代码，(5)从类别生成主题，(6)验证策略，(7)解释和报告参与者的研究结果，(8)解释和报告来自文献的研究结果，(9)数据和研究结果的直观表示，以及(10)优势、限制、界定和对未来研究的建议。这项工作为新出现的研究人员提供了进行定性数据分析的明确和可访问的指导方针，适用于广泛的主题、学科和环境。
The primary purpose of this article is to provide family physician researchers interested in conducting a qualitative research study a concise guide to the analysis. Drawing from approaches outlined in popular research methodology textbooks and employing an exemplar from a minority health disparities research study, this article outlines specific steps useful for researchers and practitioners in the field of family medicine. This process of qualitative data analysis is situated within the larger framework of qualitative research to better position those new to qualitative designs to more effectively conduct their studies. A 10-step process useful for guiding qualitative data analysis is provided. The 10 steps include (1) assembling data for analysis, (2) refamiliarising oneself with the data, (3) open or initial coding procedures, (4) generating categories and assigning codes to them, (5) generating themes from categories, (6) strategies of validation, (7) interpreting and reporting findings from the participants, (8) interpreting and reporting findings from the literature, (9) visual representations of data and findings, and (10) strengths, limitations, delimitations and suggestions for future research. This work provides clear and accessible guidelines for conducting qualitative data analysis for emerging researchers that is applicable across a wide array of topics, disciplines and settings.