Writing up qualitative research
There are specific challenges to writing up research based on qualitative data: there is a lot of data to present, complex stories to tell and conclusions that took a long time to develop. But some simple guidelines can help structuring any kind of research output based on qualitative methods, and help communicate the rich results that come from qualitative data.
Audience
There’s a very general statement
Open and Axial Coding Using Qualitative Software
On July 3, 2020
Many forms of grounded theory adopt a variant of open, axial and selective coding as their key steps in qualitative analysis. Usually these follow the description in Strauss and Corbin (1990), but others such as Glaser (1978) defined similar procedures using the terms ‘Substantive coding’ and ‘Theoretical coding’. Charmaz (2006/2014) uses the term ‘Initial Coding’ which could be seen as similar to open coding, followed by
Importing structured qualitative data into Quirkos
On June 5, 2020
While most qualitative researchers will use unstructured sources of data for their analysis, there are often times when you need to bring in data from structured interviews or surveys. Quirkos has tools and features that specifically help you manage these types of sources.
When you start a project in Quirkos, there are two options: password protection and structured project. This is a feature that must be toggled when you start a
Analyzing qualitative data tutorial
On May 28, 2020
How do you actually analyse qualitative data? How do you start to digest a rich qualitative data set, and begin to pull together the strands that will show insights from the data?
If you've ever written a book report in high school, some of the basic concepts are the same. You need to create a summary of a much longer piece of work that describes the most important events, characters and their motivations. There will also be recurring
Collaboration, Data Analysis and Ethics
On May 4, 2020
Collaboration is a common feature of modern research life. Researchers may collaborate at every stage from seeking funding to disseminating findings. They might collaborate with other researchers, or managers, supervisors, participants, colleagues from other disciplines – anyone whose input seems likely to be useful, and who is willing to play along.
There has been little information about how to collaborate apart from the
