title: Within-case and across-case approaches to qualitative data analysis.
abstract: 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.
authors.affiliation: School of Nursing, University of Wisconsin-Madison, K6/250 Clinical Science Center, Madison, WI 53792-2455, USA.
authors.forename: Lioness
authors.initials: L
authors.lastname: Ayres
authors.forename: Karen
authors.initials: K
authors.lastname: Kavanaugh
authors.forename: Kathleen A
authors.initials: KA
authors.lastname: Knafl
mesh_terms: D017028:Caregivers / Q000523:psychology; D002648:Child; D002908:Chronic Disease / Q000451:nursing; D005190:Family / Q000523:psychology; D006701:Home Nursing / Q000523:psychology; D006801:Humans; D033262:Narration; D036301:Qualitative Research; D012107:Research Design; D014481:United States