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.


METHODS
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.


CONCLUSIONS
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.
Green
Julie
J
Youth Research Centre, Melbourne Education Research Institute, University of Melbourne, Victoria, Australia. julie.green@mcri.edu.au
Willis
Karen
K
Hughes
Emma
E
Small
Rhonda
R
Welch
Nicky
N
Gibbs
Lisa
L
Daly
Jeanne
J
D003625:Data Collection; D003627:Data Interpretation, Statistical; D019317:Evidence-Based Medicine; D006801:Humans; D007407:Interviews as Topic; D010865:Pilot Projects; D011634:Public Health / Q000639:trends*; D036301:Qualitative Research