Generating best evidence from qualitative research: the role of data analysis
Objective: To outline the importance of the clarity of data analysis in the doing and reporting of interview-based qualitative research. Approach: We explore the clear links between data analysis and evidence. We argue that transparency in the data analysis process is integral to determining the evidence that is generated. Data analysis must occur concurrently with data collection and comprises an ongoing process of ‘testing the fit’ between the data collected and analysis. We discuss four steps in the process of thematic data analysis: immersion, coding, categorising and generation of themes. Conclusion: Rigorous and systematic analysis of qualitative data is integral to the production of high-quality research. Studies that give an explicit account of the data analysis process provide insights into how conclusions are reached while studies that explain themes anchored to data and theory produce the strongest evidence.
Year of publication: |
2007
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Authors: | Green, J ; Willis, KF ; Hughes, E ; Small, R ; Welch, N ; Gibbs, L ; Daly, J |
Subject: | Public Health and Health Services | Studies in Human Society |
Saved in:
freely available
Type of publication: | Article |
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Notes: | Green, J and Willis, KF and Hughes, E and Small, R and Welch, N and Gibbs, L and Daly, J (2007) Generating best evidence from qualitative research: the role of data analysis. Austalian and New Zealand Journal of Public Health, 31 (6). pp. 545-550. ISSN 1326-0200 |
Source: | BASE |
Persistent link: https://www.econbiz.de/10009461359
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