Qualitative Data Analysis with NVivo

The best informative guide to using NVivo. I recommend this to all researchers.

Over the years I have taken courses on Nvivo in two world class universities and a further course from a private provider. None of them taught me half as much or half as well as this book. It is excellent. Vitally, it integrates the technical process of using the software with the analytic process of doing qualitative research. It is easy to understand and segments learning into sections that make sense practically from the point of view of undertaking a piece of research. Having used Nvivo for years, after reading this book I realised how much more the software has to offer-I was just unaware! Speaking with students (including PhD students) and academics I found that most people, like me, were not getting the most out of the software.The latest edition covers NVivo 10. I couldn't recommend it highly enough to anyone undertaking qualitative research and considering using Nvivo.

NVivoの包括的なテキストというのは，本体についているHelp以外にはなく，Helpも全体像を掴むのにはあまり見やすくない中で，それを一望にできるテキストという意味ではありがたい。ただ，QDAという概念自体があまりまだなじみがないためなのか，その理解に類書同様紙数の多くを使っているため，そこを読んでいくだけで，ちょっと疲れてしまって肝心の使い方の部分にたどりつくのに時間がかかるのが難点。テキストの構成は，日本人の読者には，佐藤郁哉氏の類書で概念の方を掴んだ後はいきなり使い方の説明に入るような形の方が良かったかもしれない。

It's easy to understand for a non-english speaker. Also it has a lot of tips and recomendations. I started using Nvivo a couple of months ago, but now I regret not having sooner this book.What I didn't was the packing, the book was kinda smashed and the corners a little worn, I didn't get the feeling of a 'new' book.

I liked everything about the book but, most importantly, the clarity in which the author describes the use of NVivo functions and links them to insights into Qualitative Data analysis as such (so, it's not "detached" from this broader perspective by, for example, focusing exclusively on NVivo functions and not linking it to the guidelines for conducting qualitative research in general). Although you do not need your own data set, it definitely helps if you do have one and then you can complete the chapters, one by one, while applying what you've learned to your own data. This is what I did when I was learning to use it, and it resulted in me becoming competent in this software within 2 weeks.