Within-case and across-case approaches to qualitative data analysis
Within-case and across-case approaches to qualitative data analysis
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DOI：
10.1177/1049732303013006008
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发表时间：
2003-07-01
影响因子：
3.2
通讯作者：
Knafl, KA
中科院分区：
文献类型：
--
作者：
Ayres, L;Kavanaugh, K;Knafl, KA
定性研究者所发展的概括是嵌入在个人经验的丰富背景中的。仅仅依赖于将文本编码和分类为类似意义的单元的定性数据管理策略可以剥夺这种上下文丰富性的大部分。为了防止这种情况，一些作者建议将单个账户视为整个案例或故事，但当研究的目标是开发代表多个账户的概括时，整个案例很难相互比较。在这篇文章中，作者描述了三种不同的定性研究人员将跨案例编码和排序与各种案例内数据管理和分析技术相结合，以产生背景接地，可概括的结果的方法。
The generalizations developed by qualitative researchers are embedded in the contextual richness of individual experience. Qualitative data management strategies that depend solely on coding and sorting of texts into units of like meaning can strip much of this contextual richness away. To prevent this, some authors have recommended treating individual accounts as whole cases or stories, but whole cases are difficult to compare with one another when the goal of the research is to develop generalizations that represent multiple accounts. In this article, the authors describe the ways in which three different qualitative researchers combined across-case coding and sorting with a variety of within-case data management and analysis techniques to produce contextually grounded, generalizable findings.