October 24, 2019
There are large number of options for free and open-source software tools for qualitative data analysis. They can help you explore, analyse and manage qualitative data, but each have their own strengths and weaknesses.
But first, let’s be honest. When you ask for Free, do you mean Free as in Freedom, or Free as in beer? Open-source software means that the programming and software that makes the software work are available for
October 3, 2019
Today we are launching a free update for Quirkos (v2.2) that adds new features, bug fixes, and allows access to the Quirkos cloud subscription service. There is only be one version of Quirkos to download for Windows, Mac or Linux, but it will allow you to do both offline and online cloud storage for your qualitative projects.
Existing users will see a few minor bug fixes relating to PDF import and DOCX export, and we will have more
September 26, 2019
We’ve spent a long time building our new home for your qualitative data, making sure that it is safe and secure, spacious and dependable. We owe a lot of thanks to our testers across the world who have tried Quirkos cloud in different countries, internet connections and computers to make sure everything works smoothly on release day (next week)!
Today we are announcing the pricing options for Quirkos Cloud. Quirkos Cloud subscriptions
September 6, 2019
We’ve now launched our Quirkos Certified Trainers programme, which will allow users to better connect with and find experienced experts who can provide guidance and assistance in learning and using Quirkos.
As we’ve grown across the world, demand has increased for support materials in additional languages (which we keep developing) and for face-to-face workshops in their local areas and native tongues. Although we have many
August 16, 2019
There are a huge variety of ways we can analyse qualitative data, but perhaps the most commonly applied is known as Thematic Analysis. This is an approach classically described by Braun and Clarke (2006) but is straightforward and intuitive enough that most people seem to gravitate towards applying it in some form without reading anything about it!
Thematic Analysis, or TA is often confused or appropriated with grounded theory because it