NVivo is our preference, but don’t take our word for it – visit the CAQDAS Networking Project for further information about what’s available.
#Nvivo 10 tutorial video software#
It’s worth pointing out that there are other software possibilities, such as Dedoose, ATLAS.ti, MAXQDA and QDAMiner.
You can extract information across selected criteria with the push of a few buttons, and when you are drafting your thesis or report, there’s the capacity to easily insert verbatim text directly from your NVivo project. NVivo helps you be a more efficient researcher: This is really an outcome of the four points listed above – when used effectively, NVivo can save you time during both the analysis and write-up phase.NVivo has some fantastic features such as matrix coding queries that allow you to easily do this. NVivo makes sub-group analysis easier: While marking up themes with highlighter pens on paper copies of transcripts can still be useful, imagine trying to look at this information across a large number of participants, while also exploring responses by different sub-groups within your sample (e.g., comparing what males and females said).
#Nvivo 10 tutorial video code#
Alternatively, I may have undertaken a survey with a couple of open-ended questions – being able to import an Excel file containing this data means that I can code it alongside transcripts from my semi-structured interviews. For example, I can import journal articles and other PDFs, and compare what my participants reported with the existing literature on the topic.