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Stating that NVivo was used to analyse data is no more informative than stating that Sony recording devices were used to record your interviews. It does not analyse data – well not in a qualitative way at least.
What is nvivo used for code#
It provides a means to store, code and report data. NVivo is ultimately a data management tool. My interpretation is that this is also due to the illusion that NVivo is doing more than it actually is. Of course this may be due to restrictive word limits particularly for qualitative empirical articles.
![what is nvivo used for what is nvivo used for](https://scalar.usc.edu/works/using-nvivo-an-unofficial-and-unauthorized-primer/media/CodinginNVivo.png)
Often this is seen more implicitly in methods sections of papers with only one or two sentences about data analysis which include “All data was analysed using NVivo 10” with little other detail. With its many functions and means of presenting data and coding, NVivo is often heralded as the best tool for conducting qualitative data analysis. Con: NVivo is inaccurately heralded as the best way to analyse qualitative data Because data sources are neatly stored together in project folders, collaboration can be a simple as ensuring that the NVivo file being worked on is the most recent one. Because NVivo records the author, time and data of any changes to codes and coding, collaborators can easily trace their steps (and others).
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Pro: NVivo is fantastic for collaborative workĬollaboration is easy with NVivo for a number of reasons. The point I’m trying to make here, I guess, is that NVivo is a flexible and sophisticated tool for handling and analysing qualitative data. Within seconds you can produce ‘reports’ of data relating to particular codes or themes, frequency counts, word clouds or coverage statistics.įor me to provide a review of everything possible on NVivo would probably mean an entire new blog in itself. In terms of the nitty gritty of data analysis, NVivo is great because your codes are clearly labelled, code labels can be edited, codes can be moved around, deleted or merged into others, whilst at the same time NVivo recorded the date, time and author of any new codes so that you can re-trace steps. NVivo is not restricted to textual data, you can analyse images, videos, web sources and (probably) much more. I’ve likely only used 10% of the program’s functionality. The range of functions available on NVivo is massive. I’ve used the programme on three different projects to date, two of my own and one I was employed on as a research associate. NVivo Pro: NVivo is an amazing program and you can do (what feels like) millions of different things with your data! Here are some pros and cons of each, based on my experiences. The discussion we had around my thoughts on the pros and cons of different data analysis tools was very much informed by my experience, having trialled all three of the methods mentioned in the title of this post. “Which method should I use?” and “Can I use NVivo?” were two questions of hers and also mine a few years earlier. Like many qualitative researchers (including myself post-PhD study 2), my RA was transcription weary after many days spent in headphones in front of ExpressScribe ready to get stuck into the nitty gritty of data analysis.
What is nvivo used for full#
Over the summer I’ve been fortunate enough to have an internally funded RA working for 8 weeks full time on the OPEN project.
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The idea for this post came to me following a conversation with a research assistant. The last post was very broad whereas this one will only be of interest to those qualitative researchers weighing up which tool to use in their analysis.
What is nvivo used for trial#
This post is similar to the previous one in that it is my attempt to pass on nuggets of wisdom gained through trial and error.