Generating best evidence from qualitative research: the role of data analysis
Generating best evidence from qualitative research: the role of data analysis
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DOI：
10.1111/j.1753-6405.2007.00141.x
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发表时间：
2007-12-01
影响因子：
3.5
通讯作者：
Daly, Jeanne
中科院分区：
文献类型：
--
作者：
Green, Julie;Karen, Willis;Daly, Jeanne
目的：概述数据分析的清晰度在进行和报告基于访谈的定性研究中的重要性。方法：我们探讨数据分析和证据之间的明确联系。我们认为，数据分析过程的透明度对于确定生成的证据至关重要。数据分析必须与数据收集同时进行，并包括在收集的数据和分析之间进行“测试契合度”的持续过程。我们讨论了主题数据分析过程中的四个步骤：沉浸、编码、分类和主题生成。结论：对定性数据进行严格和系统的分析是高质量研究成果的组成部分。明确说明数据分析过程的研究提供了如何得出结论的见解，而解释以数据和理论为基础的主题的研究则提供了最有力的证据。
Objective: To outline the importance of the clarity of data analysis in the doing and reporting of interview-based qualitative research.Approach: We explore the clear links between data analysis and evidence. We argue that transparency in the data analysis process is integral to determining the evidence that is generated. Data analysis must occur concurrently with data collection and comprises an ongoing process of ' testing the fit' between the data collected and analysis. We discuss four steps in the process of thematic data analysis: immersion, coding, categorising and generation of themes.Conclusion: Rigorous and systematic analysis of qualitative data is integral to the production of high-quality research. Studies that give an explicit account of the data analysis process provide insights into how conclusions are reached while studies that explain themes anchored to data and theory produce the strongest evidence.