Analysing narrative data using McCormack’s Lenses
General Previous     Next

Analysing narrative data using McCormack’s Lenses

Lesley Dibley Research fellow, Faculty of Society and Health, Bucks New University, Uxbridge, UK

Aim In health and social care research, pure naturalistic enquiry often seeks to understand personal experiences, and adopts data collection methods that can generate vast amounts of rich, thick text. This article demonstrates the way in which the author used a particular approach to analyse the complex narrative data arising from her MPhil research into experiences of lesbian parents in the healthcare system.

Background Narrative data is often cumbersome, prolific and chaotic, and it can be difficult to manage such data effectively while remaining sympathetic to the original meaning of the storyteller. Guidance exists on what narrative analysis should achieve, but finding ways of interpreting and demonstrating meaning in different types of stories can be challenging.

Data sources The data discussed here arose from six unstructured interviews with ten lesbian parents from across the UK, collected in 2003-04 during the author’s MPhil studies.

Review methods The use of McCormack’s Lenses to analyse narrative data supported the philosophical underpinnings of Heideggerian phenomenology which provided the framework for the research endeavour.

Discussion Locating the analysis method that best suits the methodology, purpose and data is not always easy. Naturalistic or qualitative researchers may need to make extra effort to explain the philosophical and practical aspects of their work, and while it can be tempting to select an adequate analysis approach, seeking out the framework which best fits the data will enhance the credibility of the findings

Conclusion McCormack’s Lenses provides a flexible framework for the analysis of complex narrative data. It enables the researcher to take core themes and stories of experience in the original story and reveal these to the reader with openness. As well as remaining true to the original story, the framework enables the researcher to demonstrate that the reported findings are situated in the original data.

Nurse Researcher. 18, 3, 13-19. doi: 10.7748/nr2011.04.18.3.13.c8458

Peer review

This article has been subject to double blind peer review

Accepted: 22 January 2010

Want to read more?

Already subscribed? Log in

OR

Unlock full access to RCNi Plus today

Save over 50% on your first 3 months

Your subscription package includes:
  • Unlimited online access to all 10 RCNi Journals and their archives
  • Customisable dashboard featuring 200+ topics
  • RCNi Learning featuring 180+ RCN accredited learning modules
  • RCNi Portfolio to build evidence for revalidation
  • Personalised newsletters tailored to your interests
Subscribe
RCN student member? Try Nursing Standard Student

Alternatively, you can purchase access to this article for the next seven days. Buy now

Or