These EMIC interviews produce complementary data sets with numeric data for quantitative analysis and illness narrative data for qualitative analysis [ 20].
Complementary components of the data set included categorical and numeric data for quantitative comparative analysis and narrative data for qualitative thematic analysis and elaboration.
Narrative analysis supplemented social network analysis and demonstrated more explanatory power regarding the outcomes of the usability study and was an effective research method insofar as it mirrored the participants' evolving views of the design environment, suggesting that a reflexive approach to narrative data collection and analysis is warranted.
Results were synthesised by vulnerable group using narrative synthesis and inductive data analysis techniques.
After injury designations were assigned, narratives were then qualitatively coded in batches of 50 100 narratives using NVivo qualitative data analysis software (QSR International Pty Ltd V.10, 2012).
Rather, her or his own previous knowledge and beliefs function as starting point to enter the 'hermeneutic circle', which describes the researcher's circular movements between previous and knew understandings, as well as the change between perspectives at parts of a narrative and at the narrative as a whole during data analysis.
Data analysis of the narrative data was conducted in two phases using a thematic approach.
Data analysis includes narrative analysis and/or paradigmatic analysis of narratives [ 2].
Secondly, the horizontal systematic review is narrative, without novel methods for data analysis, offering no explicit ranking of causal relevance nor attempting to posit a decision threshold above which a marker might be considered causal.
The analysis of narrative data on similar topics from multiple sources allows for comparison of perspectives and triangulation of our findings across sources.
Narrative data were analysed using framework analysis [ 16], identifying predefined and emerging themes and subthemes from the raw data and coding data transcripts accordingly, using manual data management techniques, such as highlighting and cutting out of themed sections.
