Quirkos v2.3.1 now available

  We've released a minor bug fix release for our qualitative data analysis software Quirkos that addresses a couple of issues, and also adds a few little improvements for usability and comfort!   The first is a bug fix for a rare issue where long sessions would get logged out from their projects in Quirkos Cloud, and another that was causing issues if imported files contained strange text characters.   We've also updated

Reflexive journals in qualitative research

  It is common practice for researcher to keep a journal or diary during the research process, regardless of discipline or methodology. These are sometimes called reflexive diaries, self-reflexive journals, research journals or research diaries. They are all basically the same thing – a written (or verbal) record written by the researcher during the research process, detailing what they did and why.   Lincoln and Guba (1982)

Should you use inter-rater reliability in qualitative coding?

  In qualitative analysis it’s sometimes difficult to agree even with yourself. With complex data sets, and ‘wicked’ issues, there are times that a researcher coding qualitative data will not consistently code different sources to the same themes or codes in the same way. Often there many themes, rich and numerous sources, and difficult decisions to be made as to where sections of text fit. So to promote consistency, researchers

Quirkos 2.3 with live team work is here!

  We are excited to release Quirkos 2.3 to the world today!   The biggest additions are project sharing, live collaboration and chat features for Quirkos Cloud users. This allows seamless and interactive team work, where researchers anywhere in the world can share a qualitative research project and work together or in their own time, with space to communicate and reflect on the process through chat. This is a pretty unique feature

Collaborative coding of qualitative data

Coding qualitative data is a huge undertaking. Even with relatively small datasets, it can be a time-consuming and intensive process, and relying on just one person to interpret complex and rich data can leave out alternative viewpoints and risk key insights being missed. For one or both of these reasons, qualitative analysis is often performed as a collaborative team, with multiple coders either splitting up the task or providing multiple