Qualitative semi-structured interviews: Video Tutorial

  In the first of a new series of video tutorials on qualitative methodology, we are going over some practical tips on semi-structured interviews for qualitative research, and creating interview guides:       The blog posts referenced in the video are:   10 tips for semi structured qualitative interviewing   Semi-structured Interview Guides for qualitative interviews   Recording good audio for qualitative

Qualitative Coding Systems and the Extended Mind

(This blog post is based on a talk I gave at ICQI 2019, as part of a panel with the excellent Silvana di Gregorio, Paul Mihas, Johnny Saldana and Charles Vanover) Sometimes it can seem that our bodies are doing things without us knowing about it. I would struggle to tell someone the PIN number for my bank card, but my fingers know it – they just automatically type the right sequence! In the traditional conceptualisation of the mind,

Announcing Quirkos Cloud!

  For a long time now, one of the most requested features for Quirkos has been a way to work with remotely stored data, on any device. Researchers frequently switch between computers, laptops and mobile devices, and want to collaborate with people across the world. They want the convenience of knowing your data will be accessible wherever you are, and will be safely backed up for you.   That’s why we’ve spent nearly two

Qualitative software and tools for ‘close reading’ in the Digital Humanities

  The Digital Humanities movement is a growing paradigm that aims to explore the new possibilities created by the availability of huge archives of data, and powerful digital tools that can explore them rapidly. This allows researchers to explore, connect and interpret vast amounts of data in ways that were not possible before. In essence, it can be seen as a vast field of secondary analysis – we can look for trends in language,

How to use qualitative analysis software (QDAS) for data management

  A research project is often a big logistical undertaking, qualitative or otherwise. Through literature reviews, developing research questions, grant applications and funding, ethics/IRBs, managing co-researchers and supervisors, recruitment, collecting data from respondents, research journals, analysing data and writing up findings, there are a myriad of steps. Each will generate their own documents, data and processes that need to be