Generating best evidence from qualitative research: the role of data analysis


Autoria(s): Green, Julie; Willis, Karen; Hughes, Emma; Small, Rhonda; Welch, Nicky; Gibbs, Lisa; Daly, Jeanne
Data(s)

01/01/2007

Resumo

<b>Objective</b>: To outline the importance of the clarity of data analysis in the doing and reporting of interview-based qualitative research.<br /><br /><b>Approach</b>: 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.<br /><br /><b>Conclusion</b>: 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.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30007457

Idioma(s)

eng

Publicador

Wiley-Blackwell Publishing Ltd

Relação

http://search.informit.com.au/fullText;dn=200801649;res=APAFT

Direitos

2007, The authors; Public Heath Association of Australia

Palavras-Chave #qualitative research #data analysis #interviews #evidence #theory
Tipo

Journal Article