LEARNS: A creative approach to analysing and representing narrative data incorporating photo-elicitation techniques

Abstract

© 2018, The Author(s) 2018. Background: Diversity exists in how storied data gathered in narrative inquiry is analysed and represented, more so when there is a need to combine multiple data collection methods, including photographs. Aim: This paper discusses the use of an analytical framework entitled LEARNS developed as part of a PhD study that has potential to fill this gap. Results: The step-by-step framework presented in this paper was developed in order to analyse the data collected in this research study and gives understanding and insight into the experience of mothers whose babies are removed at birth. The LEARNS framework provides transparency and credibility; it also negates the need to restrict findings to broad themes via content/thematic analysis. Conclusions: LEARNS could offer other researchers a reliable framework to use for future social science research.