Qualitative data analysis for health services research: Developing taxonomy, themes, and theory
Qualitative data analysis for health services research: Developing taxonomy, themes, and theory
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DOI：
10.1111/j.1475-6773.2006.00684.x
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发表时间：
2007-08-01
影响因子：
3.4
通讯作者：
Devers, Kelly J.
中科院分区：
文献类型：
--
作者：
Bradley, Elizabeth H.;Curry, Leslie A.;Devers, Kelly J.
目标。为开展和评价适用于卫生服务研究人员的定性数据分析提供切实可行的战略。数据来源和设计。我们利用现有的定性方法论文献来描述定性数据分析的实际方法。数据分析的方法因学科和分析传统而异；然而，我们专注于定性数据分析，其目标是生成与卫生服务研究相关的分类、主题和理论。原理的发现。我们描述了一种定性数据分析方法，该方法应用归纳推理原则，同时还采用预定的代码类型来指导数据分析和解释。这些代码类型（概念代码、关系代码、透视图代码、参与者特征代码和设置代码）定义了适合于生成分类法、主题和理论的结构。概念代码和子代码有助于分类法的发展。关系和视角代码促进了主题和理论的发展。用参与者特征和设定代码编码的数据进行交叉分析可以促进比较分析。定性调查可以改善与卫生服务研究相关的复杂、现实世界现象的描述和解释。对定性数据分析过程的进一步了解有助于卫生服务研究人员自己使用这些方法或与来自广泛学科的定性研究人员合作。
Objective. To provide practical strategies for conducting and evaluating analyses of qualitative data applicable for health services researchers.Data Sources and Design. We draw on extant qualitative methodological literature to describe practical approaches to qualitative data analysis. Approaches to data analysis vary by discipline and analytic tradition; however, we focus on qualitative data analysis that has as a goal the generation of taxonomy, themes, and theory germane to health services research.Principle Findings. We describe an approach to qualitative data analysis that applies the principles of inductive reasoning while also employing predetermined code types to guide data analysis and interpretation. These code types (conceptual, relationship, perspective, participant characteristics, and setting codes) define a structure that is appropriate for generation of taxonomy, themes, and theory. Conceptual codes and subcodes facilitate the development of taxonomies. Relationship and perspective codes facilitate the development of themes and theory. Intersectional analyses with data coded for participant characteristics and setting codes can facilitate comparative analyses.conclusions. Qualitative inquiry can improve the description and explanation of complex, real-world phenomena pertinent to health services research. Greater understanding of the processes of qualitative data analysis can be helpful for health services researchers as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines.