It is almost expected that a researcher in qualitative data analysis will use a software program such as NVivo to analyse their data. However, despite the similarities between analysing interview data for themes and searching through texts for themes for a literature review, the latter is not expected to use software program. In order to have a literature review which is thorough and systematic the use of NVivo can greatly improve the legitimacy of the work. Although this is not a new use of the software it has not been widely advertised and instead many HDR students are still trolling through hundreds of articles manually. Part of the reason could be the inaccessibility of training. Not all universities have experts on campus and the online information is often produced in large chunks not easily digestible. This paper aims to introduce an easy seven step process with an extra step for write up of the literature review. This is termed the N7 +1 steps. The theoretical framework underpinning this work is the Structure of Observed Learning Outcomes (SOLO) taxonomy. To ensure the steps are as useful as possible a participatory action research project will occur during workshops which deliver the steps. The use of such a program could mean the difference between a timely completion and not completing at all.
2016 KWALON Conference: Reflecting on the future of QDA software: Chances and Changes, Rotterdam, Netherlands 25-26 August 2016