The use of qualitative research software to assist the data analysis process is now common. However, for someone who began research analysis using non-digital methods, it is important to sieve out the potential pitfalls of relying on software to complete the task.
This article's abstract, written for researchers in nursing, provides a good summary of the pros and cons of using data analysis software. The distraction from the real work of analysis and the need to ensure there is depth in the analysis are the most important factors. Too often, the software encourages a quick sort of the data, rather than the many readings/iterations required in the past, to undertake manual data analysis. Some of the nuances and riches of data are lost, in the shift towards quick thematic coding. Therefore, it is always important to ensure the methodology selected for data analysis, fits well within the capabilities and potential of the digital data analysis tool. For many researchers, the institution provided tool may be the only choice apart from open source software. It is always important to match the research objectives to the types of methodology and supporting tools used to ensure the integrity of the findings.
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