I discovered Dedoose recently when one of the MA students I was supervising used it.
Dedoose is a cross-platform cloud-based application from UCLA for analysing qualitative, quantitative and mixed methods research data that includes text, photos, audio, videos, spreadsheet data and more.
Overall, Dedoose is user-friendly. It offers a user-friendly interface, which includes a clear overview of your recent activities on the front page. It also includes a detailed user guide on their website and a demo project – a mixed methods study of literacy development – which will help you to explore Dedoose and see what it can do.
One advantage of Dedoose is the ease with which it allows data to be imported and the wide range of formats the software supports. For that reason, it is easy to import large amounts of text, numbers and pictures.
It is often the case that with qualitative data, when coding large amounts of text, it can be difficult to keep track of the codes assigned to different parts of the text. Dedoose allows the researcher to create a description of each code they have created, which makes the codes easy to track. It is also easy to clearly organise codes into parent, child and grandchild codes, according to their importance. They can then be moved up or down as many times as necessary. Dedoose also offers the option to delete a code if it is not found to be useful.
However, as with all qualitative data analysis, coding individual sections of text takes time and requires a large amount of work. Dedoose does, though, help to ease the pressure on the coding with, for example, the quick code widget.
Dedoose can also work to a limited extent with quantitative data. It is quite easy to import spreadsheet data from a survey, for example. Dedoose can understand numerical data, multiple choice data, Likert scale data etc and the data can easily be edited when it has been imported. Once the data has been imported, you can now analyse the quantitative data. You can can draw graphs and tables – which can be exported – and you can also carry out simple statistical tests such as t-tests, ANOVA and correlations.
It is also quite easy to combine these in a mixed-methods study.
One important feature of Dedoose is that, as the application is cloud based, it enables users to work on a project collaboratively.
Dedoose works with a subscription model. It can be quite expensive in the long run, but it does allow a free trial period of one month and it provides the ability to subscribe for just one month (student price $12.95 per month) and could be useful for a small mixed-methods project such as an MA dissertation..