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Diary data enhancing rigour: analysis framework and verification tool
Author(s) -
Clayton AnnMarie,
Thorne Terry
Publication year - 2000
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1046/j.1365-2648.2000.01609.x
Subject(s) - rigour , trustworthiness , qualitative analysis , qualitative research , computer science , qualitative property , data science , data verification , data collection , management science , data mining , engineering , sociology , epistemology , machine learning , computer security , social science , philosophy
Diary data enhancing rigour: analysis framework and verification tool This paper outlines a stage‐by‐stage framework for the analysis of data obtained from qualitative semistructured diaries. As the framework for analysis was developed, it became apparent that the methodological problem of verifying the initial analysis, required serious consideration. The research literature available was found simply to identify the difficulty, but offered no solutions. Recognizing that trustworthiness is a hallmark of qualitative research, a data analysis verification tool (DAViT) was designed. This proved to be extremely effective in enhancing the trustworthiness of a qualitative study in a number of ways. The analysis framework and verification tool together offers an eclectic approach for qualitative diary data analysis. It is further advocated that they are amenable to the analysis and verification of qualitative data obtained from semistructured interviews.