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. © 2007 The Authors. Journal Compilation © 2007 Public Health Association of Australia.

Item Type:	Refereed Article
Research Division:	Human Society
Research Group:	Sociology
Research Field:	Sociological methodology and research methods
Objective Division:	Health
Objective Group:	Evaluation of health and support services
Objective Field:	Health policy evaluation
UTAS Author:	Willis, K (Dr Karen Willis)
ID Code:	49526
Year Published:	2007
Web of Science® Times Cited:	392
Deposited By:	Sociology and Social Work
Deposited On:	2007-08-01
Last Modified:	2009-08-26
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