November 6, 2015
We will soon start work on the next update for Quirkos. We have a number of features people have already requested which we plan to add to the next version, including file merge, memos, and a lot of small tweaks and changes to the interface to show more data and make some operations easier.
However, there is still time to let us know what you would like to see in future versions of Quirkos. How about Word import, where highlights can
October 27, 2015
When people first see Quirkos, we often hear them say “My students would love this!” The easy learning curve, the visual feedback and the ability to work on Windows or Mac appeal to students starting out in qualitative analysis. We have an increasing number of universities across the world using Quirkos to teach CAQDAS at both undergraduate and post graduate levels. I just wanted to give a quick overview of why this can be
October 21, 2015
This week’s Quirkos blog comes live from the IIQM Qualitative Health Research 2015 conference, in lovely Toronto. It’s been fun talking to people who are coming to the city for the first time, going up the CN Tower, watching the Blue Jays, and seeing the election results come in!
The conference has had a couple of themes, one of which was realist synthesis and evaluations, kick started by a keynote talk from Geoff Wang. He
October 8, 2015
This week marks the one-year anniversary of Quirkos being released to the market! On 6th October 2014, a group of qualitative researchers, academics and business mentors met in a bar in Edinburgh, and at 8pm, version 1.0 of Quirkos was launched to the world. We then drank the bar dry of Prosecco (Champagne being much too expensive). Now Quirkos is being used in more than 30 universities across the world, and it's so exciting to see how
October 5, 2015
In the last blog post article, I talked about the benefits of visualising qualitative data, not just in the communication and dissemination stage, but also during data analysis. For newcomers to the world of qualitative research, the analysis process often seems intimidating and mysterious. How is the coding framework created? How are decisions made about categorising quotes? How do I know I have taken the right approach? When do I know when I