Making the most of bad qualitative data

  A cardinal rule of most research projects is things don’t always go to plan. Qualitative data collection is no difference, and the variability in approaches and respondents means that there is always the potential for things to go awry. However, the typical small sample sizes can make even one or two frustrating responses difficult to stomach, since they can represent such a high proportion of the whole data set. Sometimes

Practice projects and learning qualitative data analysis software

  Coding and analysing qualitative data is not only a time consuming, it’s a difficult interpretive exercise which, like learning a musical instrument, gets much better with practice. However, lots of students starting their first major qualitative or mixed method research project will benefit from completing a smaller project first, rather than starting by trying to learn a giant symphony. This will allow them to get used to

Looking back and looking forward to qualitative analysis in 2017

  In the month named for Janus, it’s a good time to look back at the last year for Quirkos and qualitative analysis software and look forward to new developments for 2017.   It’s been a good year of growth for Quirkos, we now can boast of users in more than 100 universities across the world. But we can see how many more people are using Quirkos in these institutions as the word grows. There is no greater complement than