Within-case and across-case approaches to qualitative data analysis

被引:612
作者
Ayres, L [1 ]
Kavanaugh, K
Knafl, KA
机构
[1] Univ Wisconsin, Madison, WI 53706 USA
[2] Univ Illinois, Chicago, IL USA
[3] Yale Univ, New Haven, CT 06520 USA
关键词
qualitative research methods; narrative; phenomenology; concept development;
D O I
10.1177/1049732303013006008
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:871 / 883
页数:13
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