Handling Qualitative Data
A welcome from the author:
The book is designed for researchers who have qualitative data and want to do justice to it. The chapters walk you through basic processes of designing data, handling data records, interpreting and reporting findings.
To return to this 'home' page, click on the title above on any page.
This website provides four sets of highly unusual resources to accompany the book:
- Methods in Practice: Real researchers talk about real projects
The stories of ten projects, (from eight countries and as many qualitative methods), are told here, in the researchers' own voices. How was the project set up, what data were sought and created, how did the researcher work with the data, what actually happened during analysis and reporting?
- Qualitative Software: This is not a summary of the current state of the various software products aimed at qualitative researchers. But it does tell you where to go for such summaries. And more importantly, it advises you before you go shopping for software. Should you use qualitative software, and how? How to find impartial, useful and non-marketing advice about software products? And it then provides help on how to manage your relationship with your software, including a brief handbook of advice to help you ask the necessary questions as you start stepping into software.
Data Visualisation in Qualitative Research: This new section explores why visualisation tools have been so little used in traditional qualitative research, and how, well used, they can enhance both your enquiry and your reporting. It discusses simple visualisation without computers and data-generated visualisations with specialised software. It includes an annotated list of references and links on data visualisation in qualitative work.
Telling Research: This new section is about the many ways of communicating research, a major theme in the book. It contains contributions from two researchers writing of their experience of reporting their research projects beyond the usual thesis and academic presentation. A third contribution discusses communicating your research online, and a final section provides notes and presentation on ways of telling it to your supervisor using qualitative software.
I hope these pages are not only useful but enjoyable, and that they help you towards the task of doing justice to your data.
To learn more about the book, visit the SAGE website
About the author
This website happened because for years I have been concerned that qualitative researchers can't easily find honest accounts with detail of what people actually do with data if and when they get any. The literature has always given very little help to those treading the sometimes perilous paths to qualitative analysis, and it has hardly noticed when those journeys changed radically with computer assistance.
I'm a sociologist and qualitative researcher who taught qualitative methods at undergraduate and graduate levels before leaving academia to help design qualitative software and services that worked for qualitative researchers. This was a very personal path. I always claimed that the NUD*IST software was developed because one day my baby son ate a quotation from my current research project. (Back then, like most qualitative researchers, I coded by copying textual material and filing segments by topic, then reviewed them on the living room floor!) My computer scientist husband, Tom Richards, acknowledging responsibility for the child, rashly suggested he might be able to develop software that would help me do what he thought I was trying to do with data - and the rest is history.
Together we designed the NUDIST software (for Nonnumerical Unstructured Data, Indexing, Searching and Theorizing) and later founded a company, QSR, to develop and distribute it and its successor, NVivo. We learned the hard way about the chasm between research goals and corporate processes! Meanwhile, I taught and consulted in projects in 13 countries, teaching thousands of researchers at all levels of seniority in all sorts of research settings, and learning of their challenges and their strategies. This meant a lot of my time was in writing methods texts and software documentation. I also personally trained, and always learned from, most of the 70 trainers worldwide who supported the software in those years. Many of these remain firm friends.
I am now an independent teacher, writer and consultant and Associate Research Fellow for the Centre for Applied Social Research (CASR), at RMIT University Melbourne. My tenth book (if you count books on software) was Handling Qualitative Data: A Practical Guide, and this website accompanies its third edition. It was a brain-spill of the experience of helping researchers who often had minimal or even no academic methods training but wished to do justice to their data, across countries, disciplines and contexts. Like my earlier book, with Janice Morse, Readme First, it's for those who want practical plotting of routes and advice on preparation for and conduct of the wonderful and often terrifying journey from making qualitative data to making something of the research. The Methods in Practice projects on this site are designed to give you a series of real-life accounts of other people's paths through a project, how they arrived at an analysis, and what they have learned, looking back The Qualtiative Software pages share what I've learned, from developing, using and teaching qualitative computing, about the limitations and the strengths of computer assisted qualitative research, and how best to approach software and use it well. While this book assumes you will use the software, it is also written in the conviction that the path to qualitative computing is poorly documented and little critiqued and can be perilous to those ill prepared. I hope the book and these pages assist you in starting out on that path.
Want even more help in analysing your data?
Visit SAGE’s Qualitative Data Analysis Software Resource Centre for extra help with your research. There you’ll find books and online resources covering every aspect of the process from choosing a software programme and getting started on your project, to data management and coding:
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