2014
DOI: 10.7748/nr2014.03.21.4.20.e1238
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Challenges and solutions during analysis in a longitudinal narrative case study

Abstract: Aim: To describe the challenges associated with the analysis phase of a narrative study and offer solutions for those embarking on the process of complex qualitative analysis.Background: Qualitative research requires rigorous analysis. However, novice researchers often struggle to identify appropriately robust analytical procedures that will move them from their transcripts to their final findings. Further adding to this problem is the lack of clear and detailed accounts within the literature that detail the p… Show more

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Cited by 16 publications
(11 citation statements)
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“…Although the first author (CW) was responsible for the primary analysis of data all authors contributed to the interpretation of data and agreed on final findings. For a detailed discussion of data analysis procedures please see Whiffin (2012) and Whiffin, Bailey, Ellis-Hill, and Jarrett (2014).…”
Section: Discussionmentioning
confidence: 99%
“…Although the first author (CW) was responsible for the primary analysis of data all authors contributed to the interpretation of data and agreed on final findings. For a detailed discussion of data analysis procedures please see Whiffin (2012) and Whiffin, Bailey, Ellis-Hill, and Jarrett (2014).…”
Section: Discussionmentioning
confidence: 99%
“…These levels included the individual account at each data collection point, the family unit as a whole and a comparison between family cases [for a detailed account of the data analysis process see Whiffin () and Whiffin et al . ()]. The analysis was then able to move beyond a simple representation of what was said towards a demonstration of how narratives were used to portray the storyteller's biographical sense of self, others and the family system.…”
Section: The Studymentioning
confidence: 99%
“…Narrative methods require specific attention to detail and therefore may be unsuitable for studies with large numbers of participants [8] or a large amount of data. Managing large quantities of qualitative data has the potential for the researcher to feel like they are ‘drowning in data’ [12] with the path to interpretation fraught with complexity [6]. Management and analysis of large volumes of temporal data is a key consideration of LQR researchers [4].…”
Section: Introductionmentioning
confidence: 99%
“…It is useful to look at the current state of play with regard to LQR analysis. Authors working in the health LQR sphere who have published their analytic strategy tend to have, across all data sources, undertaken a thematic or constant comparison analysis [7, 15], a narrative approach [5, 6, 8] or deductively coded against an existing conceptual framework or taxonomy [14]. Explicit and careful attention was paid to the analytic process in a LQR study conducted in England about how motivational interviewing for depression after stroke may be effective [7].…”
Section: Introductionmentioning
confidence: 99%
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